Статті в журналах: "Intelligent Public Transportation System"

1

Esmaeili, Leila, and Seyyed AliReza Hashemi G. "Rural Intelligent Public Transportation System Design." International Journal of Information Technologies and Systems Approach 8, no. 1 (January 2015): 1–27. http://dx.doi.org/10.4018/ijitsa.2015010101.

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In order to improve the level of intelligence, availability, convenience, information and humanization of rural public transportation systems, they are more willing to use modern information and communicative technologies. In addition to management services, intelligent transportation systems can provide passengers, drivers and other institutions with other services such as trip planning, tracking and so forth. In this paper the authors have attempted to present a comprehensive design of rural ITS based on cloud and grid computing, RFID, GPS, GIS, etc. through e-commerce and particularly m-commerce in order to improve the rural transportation management and presentation of user-centric services. Also according to the design, intercity transportation services to passengers are re-engineered. The results show proposed design with distribution infrastructure improves the performance of e-commerce and ISs in transportation domain. The system designed on this paper regardless of the possible challenges could efficiently cover the problems of rural transportation of newly developing countries.

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2

Heermann, P. D., and D. L. Caskey. "Intelligent Vehicle Highway System: Advanced Public Transportation Systems." Mathematical and Computer Modelling 22, no. 4-7 (August 1995): 445–53. http://dx.doi.org/10.1016/0895-7177(95)00150-z.

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3

Sun, Ning. "Intelligent Transportation System Planning in the Age of Artificial Intelligence." E3S Web of Conferences 253 (2021): 01036. http://dx.doi.org/10.1051/e3sconf/202125301036.

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This paper mainly studies the planning of intelligent transportation system in the era of artificial intelligence. The research content mainly includes: intelligent transportation system implementation mechanism, system application and empirical research. The research conclusion is as follows: First of all, the implementation mechanism and system application of China's intelligent transportation system are constantly improving in both technology and process. Second, Yunnan is the province with the highest public satisfaction of intelligent transportation system. Finally, relevant departments should strengthen the main role of construction, improve the traffic information platform, strengthen data management and enhance technological innovation, and strive to make China's intelligent transportation system development in the forefront of the world.

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4

Wang, Ji Zhe, and Zhan Jie Wang. "Architecture Design of Urban Intelligent Transportation Using Cloud Computing." Advanced Materials Research 605-607 (December 2012): 2549–52. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2549.

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This article does a further research on the technologies of cloud computing and intelligent public transportation, designs a human-centered intelligent public transportation system, improves the connection between passengers and vehicles, vehicles and vehicles. Technologies of BeiDou messaging, capacity sensor, RFID and Web are used to improve the intelligence of public transportation information platform. This article makes an architecture design in intelligent transportation based on cloud computing and uses the embedded system as the core. The architecture allows passengers to obtain needed vehicles’ information through various services whenever and wherever, and strongly supports intelligent control and schedule of multi-vehicles and multi-lines. The system lays a good foundation for the intelligent city.

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Espinosa, Judith M., Eric F. Holm, and Mary E. White. "Creating Intelligent, Coordinated Transit." Transportation Research Record: Journal of the Transportation Research Board 1927, no. 1 (January 2005): 138–48. http://dx.doi.org/10.1177/0361198105192700116.

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New Mexico is among the first states in the United States to develop, implement, and deploy contactless, smart card technology in a rural area. The Alliance for Transportation Research Institute, working with the New Mexico Department of Transportation's Public Transportation Programs Bureau, developed the Intelligent, Coordinated Transit (ICTransit) smart card technology and the Client, Referral, Ridership, and Financial Tracking (CRRAFT) software. The U.S. Department of Transportation's FTA–FHWA Joint Program Office provided federal funding for the project. The ICTransit smart card functions as a universal use electronic fare card, enabling passengers to transfer between transit providers to access jobs, education, and health care beyond their local rural communities. ICTransit's Global Positioning System receiver and Pocket PC capture the time and location that passengers board and exit the vehicle and the passenger miles traveled on the vehicle. The CRRAFT software system for express scheduling, automatic generation of monthly financial reports, and onboard tracking of ridership provides increased efficiency in rural areas. The ICTransit system with CRRAFT can overcome barriers to coordinated interagency transportation and provide increased access and mobility to all, but especially to those underserved by public transportation. ICTransit with CRRAFT can empower states to build coordinated transportation networks that provide safe and seamless movement of people and enhance the quality of life.

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6

Demir Alan, Ufuk, and Derya Birant. "Server-Based Intelligent Public Transportation System with NFC." IEEE Intelligent Transportation Systems Magazine 10, no. 1 (2018): 30–46. http://dx.doi.org/10.1109/mits.2017.2776102.

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Frayer, Constance D., and Louise Kroot. "California Consumer Perceptions of Potential Intelligent Transportation System Innovations." Transportation Research Record: Journal of the Transportation Research Board 1537, no. 1 (January 1996): 30–37. http://dx.doi.org/10.1177/0361198196153700105.

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The purpose of the present research was to gain insight into the public perception of existing transportation options and to then explore consumers' needs and wants of those systems and the likely acceptance of possible intelligent transportation system (ITS) initiatives. The selected ITS concepts were based on nationally defined user needs for ITSs. Focus groups were selected as the means of gathering this primary research conducted throughout the state of California. Two perspectives were studied: statewide, to gain broad insights, and smart card specific, for focused insight. There was conspicuous agreement throughout the state as to the feelings about existing transportation systems. Californians are angry that they have not been consulted about their transportation system and that its current state does not reflect their wishes and does not meet their needs. Consumers are open to ITS concepts, including information systems, alternative fuel-powered vehicles, and other high-technology improvements. They support improvements in the automobile system and useful public transportation. Convenience, safety, freedom, flexibility, and control in planning and executing their travel are what they expect within an integrated transportation system. Much is written about the cost-effectiveness of buses. The reality is that the majority of the people will never use public transit in its current state. Electronic fare payment systems were seen as the ultimate in convenience for current users. Integrated fare systems were considered a tool for beginning the improvement of public transportation for existing users and for breaking down barriers of confusion and the lack of connectivity to attract new users.

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LEE, J., S. PARK, M. SEO, and S. W. KIM. "ACE-INPUTS: A Cost-Effective Intelligent Public Transportation System." IEICE Transactions on Information and Systems E90-D, no. 8 (August 1, 2007): 1251–61. http://dx.doi.org/10.1093/ietisy/e90-d.8.1251.

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9

Nguyen, Dinh Dung, József Rohács, Dániel Rohács, and Anita Boros. "Intelligent Total Transportation Management System for Future Smart Cities." Applied Sciences 10, no. 24 (December 14, 2020): 8933. http://dx.doi.org/10.3390/app10248933.

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Smart mobility and transportation, in general, are significant elements of smart cities, which account for more than 25% of the total energy consumption related to smart cities. Smart transportation has seven essential sections: leisure, private, public, business, freight, product distribution, and special transport. From the management point of view, transportation can be classified as passive or non-cooperating, semi-active or simple cooperating, active or cooperating, contract-based, and priority transportation. This approach can be applied to public transport and even to passengers of public transport. The transportation system can be widely observed, analyzed, and managed using an extensive distribution network of sensors and actuators integrated into an Internet of Things (IoT) system. The paper briefly discusses the benefits that the IoT can offer for smart city transportation management. It deals with the use of a hierarchical approach to total transportation management, namely, defines the concept, methodology, and required sub-model developments, which describes the total system optimization problems; gives the possible system and methodology of the total transportation management; and demonstrates the required sub-model developments by examples of car-following models, formation motion, obstacle avoidances, and the total management system implementation. It also introduces a preliminary evaluation of the proposed concept relative to the existing systems.

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10

Xu, Qiangqiang, Junhua Guo, Jianjie Gao, and Xi Cheng. "Optimization design of real-time scheduling scheme for city bus vehicles based on BP neural network." E3S Web of Conferences 372 (2023): 01012. http://dx.doi.org/10.1051/e3sconf/202337201012.

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Urban public transportation is inseparably related to people’s travel and life. Prioritizing the development of public transportation is a major national policy proposed by the Chinese government, especially to actively promote the development of intelligent public transportation systems. Developing and building advanced intelligent public transport operation and scheduling management system, designing efficient, flexible and low-cost operation and scheduling mode, improving the management level and service quality of public transport enterprises, and thus improving the road traffic condition of the whole city, is undoubtedly the future development direction of public transport enterprises. This paper combines the problems of bus operation and scheduling in China at the present stage, and proposes the operation and scheduling model and method of the intelligent urban public transportation planning system, with a view to realizing a flexible public transportation operation model suitable for different service situations and providing systematic theoretical support for solving the imbalance between supply and demand of public transportation.

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Rafor, Brian J., and Rosicar E. Escober. "Intelligent Information System for Philippine Public Transport – A Big Data Framework for Urban Transportation Development." International Journal of Information and Electronics Engineering 7, no. 2 (2017): 72–75. http://dx.doi.org/10.18178/ijiee.2017.7.2.664.

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12

Conroy, Patrick, Steven Shladover, Joy Dahlgren, Pravin Varaiya, Will Recker, and Stephen Ritchie. "Intelligent Transportation Systems." Public Works Management & Policy 5, no. 1 (July 2000): 3–12. http://dx.doi.org/10.1177/1087724x0051001.

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13

Katti, Hrishikesh. "ROLE OF INTELLIGENT TRANSPORTATION SOLUTIONS IN MULTIMODAL TRANSPORTATION SYSTEM." International Journal of Innovative Research in Advanced Engineering 9, no. 1 (January 31, 2022): 9–15. http://dx.doi.org/10.26562/ijirae.2022.v0901.002.

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To ensure a successful implementation of Intelligent Transportation System (ITS) on the roadways, we must have an accurate assessment of the current condition of our transportation network and we need to continually monitor its performance and make necessary improvements as needed. To better understand how technologies like ITS are helping to optimise time on the road, it is good to gain a basic understanding of how this technology works. Intelligent transportation systems (ITS) are networks that offer users the option to either drive on a pre-programmed route that takes an average of around 40 to 45 minutes, or choose a different route that would take around 30 minutes. This often results in users spending less time in their cars when compared to a traditional drive-through model. A 2021 report from McKinsey & Company states “A typical smart city is envisioned, featuring shorter trips (either for commute, errands, or entertainment), along dedicated, on-demand routes to reduce the need to travel long distances as well as the physical inefficiencies of vehicle miles traveled". Integrated transportation services could also offer modern commutes a greater range of options, such as having the ability to purchase and use an electric vehicle (EV) onsite, or utilise public transit on the go. This multi-modal approach is proving more and more popular with businesses and cities, and many are making it a priority when it comes to implementing new infrastructure. Cities like Beijing, for example, have already started to incorporate autonomous vehicle (AV) fleets, which services drivers as they travel during their commute. Plans such as these portray a great future for the transportation network, but we have some way to go to reach this goal. Here we will discuss some other efficient solution for Intelligent Traffic Management.

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14

Sivakumar, K. "Intelligent automated public transportation systems with enhanced security." Journal of University of Shanghai for Science and Technology 23, no. 06 (June 25, 2021): 1608–17. http://dx.doi.org/10.51201/jusst/21/06475.

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A significant population of our country is folks with an average income who depend on public transportation to go about. But this method of transport has become one of the most chaotic and also has a high percentage of crime sites for numerous incidents. Hence this method has the most insecure position for the public and also pollution generating state. Out of the full population of India as of 2017, around 5.5 percent of the total GDP goes by road dependent on public transit. The aim of this work is to develop a Smart automatic Public transport System with improved security to provide convenience to passengers who are unaware of the complete information about the buses such as availability of seats, journey time, distance traveled, and to make sure they experience the same comfort as their personal vehicles.

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15

Kiss, Zsuzsanna Ilona. "Seamless Connectivity System for Intelligent Public Transportation Systems: Architecture and Mechanism Design." Journal of Communications Software and Systems 10, no. 3 (September 23, 2014): 195. http://dx.doi.org/10.24138/jcomss.v10i3.125.

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Providing ubiquitous connectivity to the passengers of public transportation vehicles is an important goal of thecommunication system designers in the context of fast development of the intelligent transportation systems and of the Future Internet communication technologies. This paper proposes the architecture of a connectivity system for public transportation communication services, the architecture design being considered on three distinct levels: system, functional and platform level. Theproposed system architecture specifies a minimal set of entities required to implement the envisaged connectivity solution and based on a functional analysis the subsystems and modules are derived. By mapping the functional architecture on the hardware components intended to be used the platform architecture is developed. The paper proposes also the design of the mechanisms which implement the inter-process communications, performthe acquisition and handling of the context information andimplement a distributed information system characterizing the heterogeneous networking environment. For other mechanisms, like decision and mobility management, the design principles are described. In order to validate the proposed architecture design and to check the correct functioning of the various subsystems and modules a few experimental tests are presented.

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AL-JAMEEL, HAMID ATHAB. "TOWARDS PUBLIC TRANSPORTATION AND INTELLIGENT TRANSPORTATION SYSTEM: NAJAF CITY AS A CASE STUDY." Journal of The University of Duhok 20, no. 1 (December 28, 2017): 104–18. http://dx.doi.org/10.26682/sjuod.2018.20.1.11.

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17

Sumarudin, A., A. Suheryadi, A. Puspaningrum, E. Prasetyo, and Y. N. Azis. "Implementation Assistance Driver System for Public Transportation Based on Embedded System." JURNAL ILMIAH SAINS 20, no. 2 (June 7, 2020): 64. http://dx.doi.org/10.35799/jis.20.2.2020.28261.

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According to data from the World Health Organization (WHO) per year around 1.35 million people die as a result of traffic accidents. Therefore, one solution is the development of Smart Transportation, namely the implementation of the Advanced Driver Assistant System (ADAS) on public transportation. The purpose of this study is to provide a level of safety in public transportation in the form of providing recommendations in driving. ADAS is implanted in an Odroid device and then installed on public transportation. The system can provide speed recommendations, predict vehicle conditions whether safe or dangerous, and detect traffic signs. In its implementation the system provides speed recommendations using Artificial Intelligence (AI) which is the fuzzy logic method and to predict the condition of the vehicle using machine learning that is the Support Vector Machine method. The system output in the form of speed recommendations, vehicle safety predictions and traffic signs detection will be directly accepted by the driver both visually and soundly. From the test results, the system has an accuracy rate of 95.25% in predicting vehicle conditions.Keywords: Assistance driver system; artificial intelligent; embedded device; machine learning; odroid Impelementasi Assistance Driver System untuk Transportasi Publik Berbasis Sistem EmbeddedABSTRAKMenurut data dari organisasi kesehatan dunia (WHO) per tahun sekitar 1,35 juta orang meninggal akibat kecelakaan lalu lintas. Salah satu solusinya adalah pengembangan smart transport, yaitu penerapan advanced driver assistant system (ADAS) pada angkutan umum. Tujuan penelitian ini memberikan tingkat keselamatan pada transportasi publik berupa pemberian rekomendasi dalam berkendaraan. ADAS ditanamkan dalam perangkat odroid dan kemudian dipasang pada transportasi umum. Sistem ini dapat memberikan rekomendasi kecepatan, memprediksi kondisi kendaraan apakah aman atau berbahaya, dan mendeteksi rambu-rambu lalu lintas. Dalam implementasinya sistem memberikan rekomendasi kecepatan menggunakan artificial intelligence (AI) yang merupakan metode logika fuzzy dan untuk memprediksi kondisi kendaraan menggunakan pembelajaran mesin yaitu metode support vector machine. Output sistem dalam bentuk rekomendasi kecepatan, prediksi keselamatan kendaraan dan deteksi rambu lalu lintas akan langsung diterima oleh pengemudi baik secara visual maupun suara. Dari hasil pengujian, sistem memiliki tingkat akurasi 95,25% dalam memprediksi kondisi kendaraan.Kata kunci: Assitance driver system; inteligensi buatan; perangkat tertanam; pembelajaran mesin; odroid

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Fries, Ryan, Tahera Anjuman, and Mashrur Chowdhury. "Selecting an Asset Management System for Intelligent Transportation Systems." Public Works Management & Policy 18, no. 4 (May 12, 2013): 322–37. http://dx.doi.org/10.1177/1087724x13480348.

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Kircher, Roland, Johannes Kluehspies, Eckert Fritz, and Reiner Koehler. "Mobility on demand – vision of a flexible future urban mobility." Transportation Systems and Technology 5, no. 2 (July 19, 2019): 130–38. http://dx.doi.org/10.17816/transsyst201952130-138.

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Background: The present situation in megacities is characterized by traffic congestion, capacity limits of public transportation systems. In addition, environmental regulations due to potential health risks will have an increasing impact on urban transportation systems. Aim: In this paper, we describe major technology trends in transportation and in information and communication systems which will influence urban transportation in future megacities. Based on these trends a vision of a sustainable urban transportation system is developed. Method: In a first step, trends in urban development and the individual needs are analyzed. Digitalization of transportation and communication technologies offer new business opportunities for Artificial Intelligence (AI) based services. Results: The intelligent combination of advanced transportation technologies in large buildings and AI based services enables a vision of Mobility on Demand, representing a flexible and sustainable urban transportation in future megacities. Conclusion: The vision Mobility on Demand illustrates the effective and flexible integration of individual transportation needs into public transportation systems. Depending on the standards of future individual vehicles such vehicles could be integrated seamlessly into the urban Maglev transportation system.

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20

Wang, Shujie, and Lin Zhang. "Intelligent Bus Operation Service Quality Evaluation System Construction." Academic Journal of Science and Technology 5, no. 1 (February 28, 2023): 63–70. http://dx.doi.org/10.54097/ajst.v5i1.5351.

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Taking the quality of intelligent bus operation service as the research object, the evaluation index system of intelligent bus operation service quality is established with the dimensions of safety, comfort, convenience, timeliness, wisdom and economy. Using the fuzzy evaluation method, combined with AHP hierarchical analysis and expert method, we evaluated the smart public transportation in Tangshan and Anshan cities. Release online passenger satisfaction survey questionnaires in Tangshan and Anshan cities, in conjunction with fuzzy evaluation. Combined with the analysis of comparative passenger satisfaction survey data, the evaluation results are valid. Based on the results of the survey, reference opinions on the shortcomings of smart public transportation in Tangshan City and Anshan City are provided.

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21

Hou, Wozuo. "Applications of Big Data technology in Intelligent Transportation System." Highlights in Science, Engineering and Technology 37 (March 18, 2023): 64–71. http://dx.doi.org/10.54097/hset.v37i.6040.

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With the continuous development of Intelligent Transportation System (ITS), amount of data can be collected, generated and used by ITS, and the application of big data technology in Intelligent Transportation System is also applied in different kinds of fields. This paper first explains the definition of big data and intelligent transportation systems. Second, the framework of big data technology in the Intelligent Transport System (ITS) is introduced, which summarizes the data collection methods in specific scenarios of ITS, the application methods of data analysis in ITS, and the application of big data technology in ITS. Furthermore, this paper introduces several case studies on the application of big data technology in ITS, including public transport service planning, road traffic flow prediction, road traffic accident analysis, personal travel route planning, rail traffic management and control, and data analysis and prediction of bridge safety. Finally, this paper discusses some challenges of using big data technology in ITS.

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22

Stanciu, Valeriu Daniel, Ciprian Dobre, and Valentin Cristea. "Context-based service for intelligent public transportation systems." International Journal of Adaptive and Innovative Systems 2, no. 2 (2015): 180. http://dx.doi.org/10.1504/ijais.2015.072148.

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23

Sun, Hai Ping, Zhi Gang Gao, and Li Na Chen. "Design of Intelligent Public Transportation Vehicle Terminal Based on S5PV210." Applied Mechanics and Materials 596 (July 2014): 735–38. http://dx.doi.org/10.4028/www.scientific.net/amm.596.735.

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When the GPS signal or the wireless communication signal is weak, the vehicle will disappear in the map of the control center. In order to solve this problem, an intelligent public transportation terminal system which is cored by S5PV210 microprocessor is designed. The system uses BD2 and GPS dual-mode positioning module. Compass can provide short-message communication service. When the wireless communication signal is weak, we can use this service to communicate with the monitoring center. This design solution will make sure that the vehicle will never disappear in the map of the control center.

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Gao, Hong, Ang Li, Jiangbo Wang, Kai Liu, and Li Zhang. "Design of an Intelligent Platoon Transit System towards Transportation Electrification." World Electric Vehicle Journal 13, no. 8 (August 12, 2022): 153. http://dx.doi.org/10.3390/wevj13080153.

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The full implementation of electric public transport is a key step for the transport industry to move toward electrification and achieve carbon neutrality. However, in the face of time-varying demands and high-quality service requirements, traditional transit systems are difficult to ascend as the preferred mode of travel due to the constraints of fixed vehicle capacity and multiline transfers. With the advent of modular vehicle technology, it is becoming more realistic to develop an entirely new transportation system based on electric modular vehicles (EMVs). This study proposes a novel intelligent platoon transit system (IPTS), and its overall concept and operating mode are elaborated at a strategic level. In particular, the electrical, modular, and autonomous platoon transit system should be designed to achieve adaptive adjustment of capacity and possible en route transfers, which significantly improves the convenience, flexibility, and economy of public transport. We also design three application scenarios with varying demands during multistage development to bridge the gap in traditional buses. The key issues and case applicability of the three scenarios are discussed.

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Krawiec, Krzysztof, Marcin Jacek Kłos, Sylwester Markusik, and Aleksander Bułkowski. "Evaluation of a transportation system based on electric drive from cybersafety point of view." WUT Journal of Transportation Engineering 124 (March 1, 2019): 65–78. http://dx.doi.org/10.5604/01.3001.0013.6762.

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The article presents threats related to broadly understood cybersecurity, encountered in modern public transport, especially in cases of increasingly introduced Intelligent Transport Systems (ITS). Experience to date has shown strong links between the technical sphere and IT system of public transport, ensuring its protection against unwanted externa l interference from people (or organizations) trying to disrupt its functioning. The following - inter alia - are of a key importance: the system of existing bus network as well as organization of bus work on routes (schedule) and its IT links, monitoring and system protection against external interference. The main goal of cybersecurity in public transport is to increase the level of cybersecurity in city agglomeration by increasing the availability of hardware and IT tools, included in intelligent transport systems, protecting safety and reliability of operation of public transport.

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Aohua, Guo, Vladimir Zyryanov, and Liu Chunguang. "Development of distributed and decentralized intelligent transport systems in terms of digitalization." E3S Web of Conferences 403 (2023): 07035. http://dx.doi.org/10.1051/e3sconf/202340307035.

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Intelligent Transport System (ITS) is one of the fastest growing areas of intelligent systems that improves road safety and fuel efficiency, reduces traffic congestion, refines the environmental situation of metropolitan cities. The main functions of the intelligent transportation system are real-time monitoring of road conditions in certain areas, location of road traffic incidents (RTI), dynamic monitoring and management of the continuous use of public transport services, as well as anything that can lead to changes in road traffic. In this article, the aforementioned ITS functionality is used as basic simulation scenarios for the development and implementation of an Intelligent Transport System based on the Internet of Things and blockchain technology. Both of these technologies have the inherent characteristics of a distributed technology, integrating IoT sensor nodes and distributed registry technology to register changes in Intelligent Transportation systems and create a credit token mechanism to pay for the use of road transport services. The Intelligent Transport System is a comprehensive intelligent system; it can significantly change and improve traffic conditions.

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Devia, Devia, and Prihanika Prihanika. "Implementasi Fasilitas Intelligent Transportation System (ITS) Di Kota Palangka Raya." Media Ilmiah Teknik Sipil 8, no. 2 (June 1, 2020): 72–78. http://dx.doi.org/10.33084/mits.v8i2.1404.

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The movement of people and goods is increasing in line with economic growth in society. This causes the potential for increased transportation activities in the City of Palangka Raya so it needs efforts to improve adequate transportation facilities and infrastructure. The application of technology-based Intelligent Transportation System (ITS) in Palangka Raya City is needed so that the management of the transportation system becomes more effective and efficient. This paper provides an overview of the application of ITS facilities and types in Palangka Raya City and provides recommendations for the use of new ITS facilities or optimizing existing technology so that ITS facilities can be utilized by stakeholders in traffic management and transportation systems in Palangka Raya City. Based on observations of the application of ITS in the City of Palangka Raya is applied to improve the performance of intersections and road services. The type of ITS facility is the Area Traffic Control System (ATCS), which is a vehicle traffic control system at the signal intersection to increase travel speed and travel time so that delays in travel can be minimized. It is also expected that the implementation of ITS in Palangkaraya City can also optimize the performance of public transport and traffic safety as well as the collaboration between stakeholders so that the improvement of the integrated transportation system can be well integrated.

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Omayer, Hayam M. "Smart public transportation: A future framework for sustainable new cities (Case study Greater Cairo)." IOP Conference Series: Earth and Environmental Science 992, no. 1 (February 1, 2022): 012007. http://dx.doi.org/10.1088/1755-1315/992/1/012007.

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Abstract In the context of the tremendous progress in information technology in all spheres of life, it is necessary to adopt more intelligence solutions to increase the quality of life and achieve sustainable cities. Currently, without a doubt, we have the ability to make all city services accessible to everybody. Transportation and mobility systems are critical components of sustainable city development. Therefore, the scientific literature on the technological systems employed in transportation systems and their primary uses is extensive, outlining their application to improving people’s quality of life through promoting a sustainable environment. Recently. There is a new generation of ITS (intelligence transportation system) resulting from the encouragement of related public policy that has been deeply integrated with new infrastructure and new technologies for improving the quality of life. The new generation of ITS technology and urban analysis and planning technology can not only meet the current problems of the coordinated development of the public transportation system and big cities like Cairo, but also meet the needs of the city’s future development in advance. This paper will discuss the transformation of intelligent public transportation, the opportunities, and applications, using technologies, and implementation in various urban areas using a case study of China’s smart transportation. Additionally, propose a future framework for sustainable transportation in new cities and the feasibility of implementing them in Egypt’s new cities. Highlight the actions and outcomes of integrating technologies, as well as their environmental, urban, economic, and social impacts. In order to develop and increase the quality of life in the cities of Egypt and the developing world in order to achieve sustainability goals.

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Salih, Thair A., and Noor K. Younis. "Designing an Intelligent Real-Time Public Transportation Monitoring System Based on IoT." OALib 08, no. 10 (2021): 1–14. http://dx.doi.org/10.4236/oalib.1107985.

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Lee, Ker-Tsung, Da-Jie Lin, and Pei-Ju Wu. "Planning and Design of a Taxipooling Dispatching System." Transportation Research Record: Journal of the Transportation Research Board 1903, no. 1 (January 2005): 86–95. http://dx.doi.org/10.1177/0361198105190300110.

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Shifting people from driving to using public transportation has been important in alleviating urban traffic congestion. Intelligent transportation system technologies applied to public transportation can provide useful data to system operators and users and increase the use and productivity of high-occupancy vehicles. Integration of metropolitan rapid transit, feeder buses, and taxipooling can attract more public transportation users. Advanced taxipooling transfer assignment systems, a type of advanced public transportation systems program, aims to apply advanced technologies to taxi operations, including dynamic taxi fleet management, taxipooling strategies, and safety monitoring systems. Success in using taxis as a feeder service to mass transit systems requires advanced information technologies such as the Global Positioning System, geographic information systems, wireless communications, and, most important, an efficient taxi dispatching algorithm. The objectives and background of a dedicated taxipooling fleet in a metropolitan area are given. Also, a real-time, two-step taxipooling dispatching system is presented. A case study with parameter values obtained from Taiwan is explained; the simulation result is interpreted to illustrate the feasibility of the algorithm. Sensitivity analysis proves the robustness of the dispatching algorithm and shows the flexibility decision makers can have to serve certain purposes. Assumptions and constraints of the proposed dispatching system are evaluated, and the possibility of system expansion is discussed.

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J, Mr Jegan Amarnath, Raizudeen S, and Kiran Kumar S. "Passenger Alert Application." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 4893–96. http://dx.doi.org/10.22214/ijraset.2023.52776.

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Abstract: This paper describes the creation of an intelligent real-time interactive public transport application. The application focuses on enhancing the user experience and improving communication among passengers. The main features of the application include a chat module that enables users to have conversations, facilitating the exchange of information and providing a platform for passengers to inform others about any issues or disruptions in the public transportation system. Additionally, the application incorporates an alarm module designed to alert or awaken passengers from their sleep or quick naps when the bus enters a buffer zone, indicating that their destination is approaching.By leveraging real-time data and intelligent algorithms, the application enhances the overall quality of public transportation services. The chat module promotes community engagement and empowers passengers to actively contribute to the improvement of the system's reliability and efficiency. Furthermore, the alarm module serves as a valuable tool for passengers, ensuring they are informed and prepared as their destination approaches, thus minimizing the risk of missing their stop.The development of this intelligent application addresses the growing need for efficient and user-centric public transportation solutions. It harnesses the power of real-time data and interactive communication to create a seamless and reliable travel experience for passengers. The findings and insights from this project contribute to the advancement of intelligent transportation systems, offering practical solutions to the challenges faced by public transportation networks worldwide.

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Najem, Waleed N., and Ammar Y. Alqahtani. "Jeddah City Ride-hailing Company Bus Routes Planning by Using Traffic Neural Network Design." International Journal of Advanced Engineering Research and Applications 6, no. 10-11-12 (April 30, 2021): 164–89. http://dx.doi.org/10.46593/ijaera.2021.v06i10-11-12.001.

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This study aims to discover the relationship between neural systems and their use and nature in optimizing public transportation in real life. As neural networking system in the human body represents a smooth delivery and reception of data between the neural joints, in similarity to public transportation delivering public to multiple points/zones. Today's simulation systems depend on simulating real life to help us find an optimized solution but never the ultimate optimization. Applying an intelligent design like the human neural system into real life will deliver an ultimate solution to such a problem. Applying a neural networking system to Jeddah's traffic platform allowed us to reach an optimized map/network for the public transportation services with clear stations/stops numbers and real-life path/lane to be followed.

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Gui, Jiawei, and Qunqi Wu. "Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou." Sustainability 12, no. 19 (September 30, 2020): 8070. http://dx.doi.org/10.3390/su12198070.

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The transportation utility values calculated by traditional utility methods are not comprehensive. Some objects and factors are ignored in traditional utility methods, and this narrow perspective is their primary drawback. In intelligent transportation systems, it is necessary to calculate transportation utility for promoting public traffic planning and management. To build a sustainable intelligent transportation system, modified utility methods are essential to analyze transportation utility in a comprehensive way with innovative technologies and efficient communication systems. To solve the disadvantages of traditional utility methods, it is necessary to establish a new method to build sustainable public transport in the future. In this study, the Multiple Utility Method and Transportation Utility Method are proposed for public transport planning and management from multiple perspectives. A sample is presented to provide a better description, and 69,174 GPS-equipped taxi data in Haikou are adopted for the application of the Transportation Utility Method. The results show that the transportation utility values calculated by the Transportation Utility Method are more comprehensive than the transportation utility calculated by traditional utility methods. This indicates that it is necessary to calculate transportation utility from multiple perspectives based on the Transportation Utility Method. Future directions could include improving the methods, considering more factors, expanding the data used, and extrapolating this research to other cities around the world with similar urban metrics and urban form.

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Dewi, Nur Kumala. "Supervision and Law Enforcement on Intelligent Transportation Systems on the Highway." International Journal of Educational Research & Social Sciences 2, no. 1 (April 7, 2021): 125–31. http://dx.doi.org/10.51601/ijersc.v2i1.20.

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This research discusses the supervision and law enforcement on the transportation system, which will be applied to the smart transportation system. With this system, the police and local governments will be able to monitor the transportation system in a city, especially law enforcement on roads. The method used in this study is to use a literature review which is the basis for this research, by using a literature review it will be able to deepen a research, and be able to understand previous studies in order to create new research. The problem raised in this research is how to apply law enforcement on the highway to land transportation, both public vehicles and private vehicles that are on the highway every day, with strict law enforcement it will reduce crime on the road and can reduce accidents on the road Highway. This research will produce a proposed system, which can be used by the police and local governments in enforcing the law on public or private vehicles on the road.

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Misanova, I. N. "POINTS OF SUPPORT FOR INTELLIGENT SYSTEMS." World of Transport and Transportation 14, no. 2 (April 28, 2016): 112–17. http://dx.doi.org/10.30932/1992-3252-2016-14-2-12.

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[For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version)].ABSTRACT Theoretically justified, but remaining less demanded, innovative mechanisms seek and find reasons to assert themselves. The article gives a special place to the problems of development of Russian intelligent transport systems, especially those that allow to create new high-tech products. This topic has gained priority in the light of importance of restructuring public sector of economy, of the need to update legislation to accelerate the development of intelligence-bearing means of organization and maintenance of transportation process. Keywords: railway, legislation, economics, intelligent transport system, financial mechanisms, interaction of government and business, government guarantees, venture projects.

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Ren, Qilei, Ka Lok Man, Muqing Li, Bingjie Gao, and Jieming Ma. "Intelligent design and implementation of blockchain and Internet of things–based traffic system." International Journal of Distributed Sensor Networks 15, no. 8 (August 2019): 155014771987065. http://dx.doi.org/10.1177/1550147719870653.

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With the continuous development of Internet of things, all kinds of smart systems are quickly evolving to make our day-to-day life smoother and safer. Like many other sectors, transportation has entered a period of rapid change. Intelligent Traffic System is one of the fastest-growing fields within the smart systems, which is expected to increase road safety, mitigate traffic congestion, and enable fuel efficiency. The main functionalities of Intelligent Traffic System are as follows: (1) monitoring real-time traffic conditions in specific areas, (2) locating traffic emergencies (i.e. traffic accidents) in specific areas, and (3) dynamic monitoring and managing the continuous use in public transit services (i.e. change in car lanes) that may lead to changes in macro traffic conditions. This article will use the above-mentioned functionalities of the Intelligent Traffic System as underlying simulative scenarios, to design and to implement a smart transportation system based on Internet of things and blockchain—both share inherent distributed technology characteristics—combining both Internet of things sensor nodes and distributed ledger technology, to (1) record the changes in intelligent transportation systems and (2) set up a credit-token mechanism for paying the use and misuses in public transit services accordingly. The Intelligent Traffic System described in this article is intended to be used as experimental project only, given the terms and conditions as depicted in the simulated scenario. In real-life traffic scenarios, it may generate more complex system and data security issues, which will be elaborated and analyzed at the end of this article. Intelligent Traffic System is a comprehensive smart system; it can significantly change and reinvent the wheel for traffic conditions. Based on the system development as discussed in this article, there are still a lot of demands and challenges that need to be addressed in the future. Such topic scope will be explored in depth in our subsequent research.

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Wang, Ze Song, Jiu Gang Cui, and Bo Lun Zhang. "The Exploration and Implementation of Wireless Forecasting for Bus System." Advanced Materials Research 926-930 (May 2014): 2832–35. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2832.

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An intelligent public transportation system is developed in this article depending upon the technology of computer, wireless communications and electronics. The system involves the buses operation and serve the bus information for the passengers.

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Wu, Xiao Dong, and Pin Xin Bao. "Research of Freight Intelligent Detection and Contingency Command System." Applied Mechanics and Materials 263-266 (December 2012): 2829–33. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2829.

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Some special freight need monitor particularly on transportation. By detecting state of cargo in time, raising the alarm and giving contingency command, the accident can be prevented effectively and the destructive power can be controlled. The framework of freight intelligent detection and contingency commanding system is proposed, which contains four sub-system, cargo identification system, cargo state detection system, cargo contingency commanding platform and cargo public data service platform. The structure and mechanism of main function of these sub-systems are analyzed based on their function.

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Li, Wei, and Guo Dong Han. "Design on Highway Information Publishing System and Benefit Analysis of Traffic Control System." Advanced Engineering Forum 1 (September 2011): 343–47. http://dx.doi.org/10.4028/www.scientific.net/aef.1.343.

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With the purpose of offering dynamic information services for road users, the information publishing scheme is proposed based on variable message sign and variable speed limit sign. And the information publishing system shared information control center with public transportation service system is established. The economic benefit of intelligent traffic control system is quantitatively studied by radar map method for the first time. Research shows that intelligent traffic control system has reached ideal-steady state. The research results reduce traffic congestion and improve the highway utilization and traffic management efficiency.

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Zhou, Xiang, Ying Ying Ma, and Xiao Feng Liu. "Research on Dual Ground Loop Vehicle Detection System of Intelligent Transportation." Applied Mechanics and Materials 651-653 (September 2014): 491–94. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.491.

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To against the inadequate of current gateway detection device in parking lots, toll stations and other public places, the paper provides the program of the use of two ground loops to detect and judge the vehicle entrance and exit actions, designs the dual ground loop vehicle detection system correspondingly, and analyzes how the system works. According to the findings, recommendations will be given to the application scope of the system.

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Shen, Tong, Kun Hua, and Jiaping Liu. "Optimized Public Parking Location Modelling for Green Intelligent Transportation System Using Genetic Algorithms." IEEE Access 7 (2019): 176870–83. http://dx.doi.org/10.1109/access.2019.2957803.

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Alharbi, Fares, Mohammed Zakariah, Reem Alshahrani, Ashwag Albakri, Wattana Viriyasitavat, and Abdulrahman Abdullah Alghamdi. "Intelligent Transportation Using Wireless Sensor Networks Blockchain and License Plate Recognition." Sensors 23, no. 5 (February 28, 2023): 2670. http://dx.doi.org/10.3390/s23052670.

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License Plate Recognition (LPR) is essential for the Internet of Vehicles (IoV) since license plates are a necessary characteristic for distinguishing vehicles for traffic management. As the number of vehicles on the road continues to grow, managing and controlling traffic has become increasingly complex. Large cities in particular face significant challenges, including concerns around privacy and the consumption of resources. To address these issues, the development of automatic LPR technology within the IoV has emerged as a critical area of research. By detecting and recognizing license plates on roadways, LPR can significantly enhance management and control of the transportation system. However, implementing LPR within automated transportation systems requires careful consideration of privacy and trust issues, particularly in relation to the collection and use of sensitive data. This study recommends a blockchain-based approach for IoV privacy security that makes use of LPR. A system handles the registration of a user’s license plate directly on the blockchain, avoiding the gateway. The database controller may crash as the number of vehicles in the system rises. This paper proposes a privacy protection system for the IoV using license plate recognition based on blockchain. When a license plate is captured by the LPR system, the captured image is sent to the gateway responsible for managing all communications. When the user requires the license plate, the registration is done by a system connected directly to the blockchain, without going through the gateway. Moreover, in the traditional IoV system, the central authority has full authority to manage the binding of vehicle identity and public key. As the number of vehicles increases in the system, it may cause the central server to crash. Key revocation is the process in which the blockchain system analyses the behaviour of vehicles to judge malicious users and revoke their public keys.

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Wang, Hong Gang. "Designing of the Urban Public Bus Operation Dispatch System." Applied Mechanics and Materials 241-244 (December 2012): 2569–73. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2569.

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The urban public bus operation dispatch system is one of the most important systems in ITS (Intelligent Transportation System). This paper describes the system in detail, including the system’s architecture, the bus onboard equipment and the system’s software part etc. Through integrating the single chip module, GPRS module, GPS module and other modules, the bus onboard equipment is designed. According to the object-oriented software engineering ideas and using UML (Unified Model language), the software system is designed. Finally, the bus onboard equipment and the system software part can send information each other using GPRS technology. The system has been implemented using Visual Studio 2005 C# language and tested in laboratory.

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Wu, Cheng, Y. M. Wang, Xiang Qiang, and Z. Y. Zhang. "Adaptive Spectrum Management of Cognitive Radio in Intelligent Transportation System." Applied Mechanics and Materials 743 (March 2015): 765–73. http://dx.doi.org/10.4028/www.scientific.net/amm.743.765.

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With the rapid development of urban rail transit, the demand of the public in rail transportationto take real-time, reliable and efficient wireless access services, has become the focus of mobilebroadband communications. Wireless cognitive radio (CR) over urban rail transit is a newly emergingparadigm that attempts to opportunistically transmit in licensed frequencies, without affecting the preassignedusers of these bands. To enable this functionality, such a radio must predict its operationalparameters, such as transmit power and spectrum. These tasks, collectively called spectrum management,is difficult to achieve in a dynamic distributed environment, in which CR users may only takelocal decisions, and react to the environmental changes. In this paper, we propose a reinforcementlearning based approach for spectrum management. Our approach uses value functions to evaluate thedesirability of choosing different transmission parameters, and enables efficient assignment of spectrumsand transmit powers by maximizing long-term reward. We then investigate various real-worldscenarios, and compare the communication performance using different sets of learning parameters.The results proves our reinforcement learning based spectrum management can significantly reduceinterference to licensed users, while maintaining a high probability of successful transmissions in acognitive radio ad hoc network.

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Podgórniak-Krzykacz, Aldona, and Justyna Przywojska. "Public Policy and Citizens’ Attitudes towards Intelligent and Sustainable Transportation Solutions in the City—The Example of Lodz, Poland." Energies 16, no. 1 (December 23, 2022): 143. http://dx.doi.org/10.3390/en16010143.

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This article focuses on residents’ perception of smart and sustainable transport in the city, and on local and central government policy towards sustainable and smart mobility transition, using Lodz, a city in Poland, as an example. Its purpose is to examine residents’ opinions about the development of a sustainable, intelligent transportation system (ITS) for the city and learn about their awareness of the benefits of ITS development. The article discusses findings of a survey conducted in 2022 on a sample of 250 residents of Lodz. The data obtained from the survey were subjected to statistical analyses: correlation, exploratory factor analysis, and linear regression. The results suggest there is a correlation between the assessment of a sustainable and intelligent transportation system and residents’ perception of benefits that it offers. In addition, government, regional, and municipal transportation strategies were qualitatively analysed to identify the preferred trends featuring in the development of the transportation system and services in Lodz. The analysis confirmed fragmentation of programme-related actions that promote sustainable mobility, and the lack of participatory and educational measures targeting the users of transport systems. The results obtained can be used to delineate the directions of interventions in urban transport policy and sustainable development.

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Perez, William A., and Truman M. Mast. "Human Factors and Advanced Traveler Information Systems (ATIS)." Proceedings of the Human Factors Society Annual Meeting 36, no. 15 (October 1992): 1073–77. http://dx.doi.org/10.1518/107118192786749694.

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The nation's motoring public is increasingly burdened by recalcitrant transportation problems, many of them directly attributable to increasing traffic congestion. In response to this, the US. Department of transportation is actively moving on several fronts to address this problem. One of the more promising approaches to relieving congestion is through the design and implementation of new technology in the Intelligent Vehicle/Highway System (IVHS). IVHS is composed of five elements: Advanced Traffic Management Systems (ATMS), Advanced Traveler Information Systems (ATIS), Commercial Vehicle Operations (CVO), Advanced Vehicle Control Systems (AVCS), and Advanced Public Transportation Systems (APTS). This paper will discuss human factors issues associated with ATIS.

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Choosakun, Aoonrot, and Chunho Yeom. "Developing Evaluation Framework for Intelligent Transport System on Public Transportation in Bangkok Metropolitan Regions Using Fuzzy AHP." Infrastructures 6, no. 12 (December 20, 2021): 182. http://dx.doi.org/10.3390/infrastructures6120182.

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Public transportation has been encouraged as a significant solution to overcome traffic congestion. An advanced technology, known as advanced public transport system (APTS), was introduced to enhance the effectiveness of public transportation. To support appropriate decisions on selecting application development, significant indicators representing the impacts of the proposed projects are highlighted. This study aims to determine the desirable indicators of developing APTS to achieve smart mobility using the fuzzy Analytical Hierarchy Process (fuzzy AHP) method and allocating weights to each indicator. The perception of a group of intelligent transport system (ITS) experts from three sectors in the Bangkok Metropolitan Regions (BMR) was examined to conduct a fuzzy AHP pairwise comparison. The ranking of 21 indicators categorized within six dimensions in accordance with the specific ITS master plan relating to APTS development is presented. The result presented that the safety dimension obtained the highest rank, and the three most important weight indicators are traffic accident reduction relating to public transportation, smart public transport network density and waiting time for public transportation. In addition, the perspectives towards APTS development and assessment framework development in BMR is highlighted to revise impediment of regulation and encourage integration among stakeholders. Then, the approaches of the APTS evaluation framework in BMR are proposed.

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A.V., Shviatsova, and Shuts V.N. "The criterion of arising motion conflict of unmanned vehicles during implementing transportation plan in intelligent urban passenger transportation system." Artificial Intelligence 25, no. 3 (October 10, 2020): 79–84. http://dx.doi.org/10.15407/jai2020.03.079.

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The proposed article is devoted to the description of an intelligent urban passenger transport system based on unmanned electric vehicles, sequentially moving along a separate line. This system is a passenger transport system of a new urban mobility, formed under the influence of social conditions generated by high population density in cities, that suppose the development of pedestrian zones and ecological modes of transport, "transport as a service", etc. In this historical context, public transport systems acquire special relevance. The described transport system belongs to intelligent systems, since it is capable of functioning in autonomous mode without human intervention, adaptively responding to changes in the dynamics of the flow of passengers during the day. Passengers are transported by electric cars, which can be combined into cassettes according to the principle of road trains based on the transportation plan drawn up by the intelligent center of the transport system according to the matrix of correspondences, filled in taking into account the incoming requests for service from passengers. When drawing up a transportation plan, the algorithms of the transport system give preference to transportation according to the "source-destination" principle, that is, when the passenger goes to the destination with a minimum number of intermediate stops, and ideally without them. The paper formulates also a criterion of arising of a conflict in the movement of vehicles, which allows to identify situations when an electric vehicle driving in front can detain vehicles following after. The work has relevance because the criterion will allow to make adjustments in the schedule of movement of vehicles and exclude the loss of time and energy that carries the transport system during braking and acceleration of electric cars, as well as to reduce waiting time and travel of passengers.

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Pająk, Anna, Artur Orzeł, and Róża Stepaniuk. "The strategy of sustainable public transportation system in the city of Rzeszów in the frame of Eastern Poland 2014-2020 Operational Programme." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 18, no. 6 (June 30, 2017): 32–35. http://dx.doi.org/10.24136/atest.2017.024.

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In the frame of Action 2.1. “Sustainable public transportation” of the II Priority Axis of the Eastern Poland 2014-2020 Operational Programme five viovodeships submitted 14 applications of investment projects of the total value of 2,1 billion PLN. The main aim of the Programme is to support complex projects of ecological integrated public transportation systems in the broad perspective of sustainable development. Three applications were submitted by the City of Rzeszów. The main aims of the projects are: the development of Intelligent Public Transportation System in Rzeszów, creation of the Communication Centre in Rzeszów as well as bus fleet modernization. The article refers to the characteristics of the projects in the context of current financial perspective of Eastern Poland Operational Programme.

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Mrnjavac, Edna, and Robert Marsanić. "INTELLIGENT TRANSPORTATION SYSTEMS IN IMPROVING TRAFFIC FLOW IN TOURISM DESTINATIONS∗." Tourism and hospitality management 13, no. 3 (2007): 627–36. http://dx.doi.org/10.20867/thm.13.3.9.

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The rapid growth and development of motorisation combined with relatively small investments made to improving transportation infrastructure in cities, as well as in tourism destinations, has led to serious problems in the unobstructed movement of vehicles in public traffic areas. Traffic congestion on roadways, in ferryboat ports and at state borders during the summer months and year-round lines of cars going to or returning from work are a regular presence in traffic in most urban and tourism destinations in Croatia, as well as in the rest of Europe. Intelligent transportation systems (ITS) can be implemented in urban and tourism centres, which, for example, have no opportunity for increasing the capacity of their traffic networks by constructing new, or expanding existing, transportation infrastructure, and no opportunity for increasing parking capacities. The only solution would be to optimise traffic networking by introducing intelligent technologies. Intelligent transportation systems and services represent a coupling of information and telecommunication technologies with transportation means and infrastructure to ensure greater efficiency in the mobility of people and goods. ITS implementation helps to provide better information to motorists and travellers (tourists); improve traffic and tourist flows, cargo transportation, public passenger-transportation; facilitate the work of emergency services; enable electronic traffic-related payments; enhance the security of people in road traffic; and monitor weather conditions and the environment. To motorists the system provides guidance to roads on which traffic is less intense, guidance to available parking spaces, and guidance, for example, to a good restaurant or interesting tourist attraction. his paper focuses, in particular, on ITS application in city and tourism destinations in connection with parking problems. Guiding vehicles to the closest vacant parking space helps to reduce traffic congestion, reduce the amount of time lost in searching and increase the occupancy rate of car-parks

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