Journal articles: 'Urban transportation Management'

1

Vaishakhi A., Talati. "Innovative Transportation Technique: A Need for Urban Traffic Control, Regulation and Management." International Journal of Engineering and Technology 4, no. 2 (2012): 177–81. http://dx.doi.org/10.7763/ijet.2012.v4.344.

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Naseri, Alireza, and Masoud Naseri. "Strategies of Crisis Management in Urban Transportation." Research Journal of Applied Sciences, Engineering and Technology 7, no. 13 (April 5, 2014): 2693–700. http://dx.doi.org/10.19026/rjaset.7.587.

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О.М., Kalieva, and Karelin N.V. "Marketing Management in Urban Passenger Transportation Innovations." International Journal of Economics and Business Administration VII, Special Issue 2 (January 1, 2019): 211–20. http://dx.doi.org/10.35808/ijeba/386.

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Dock, Stephanie, Ryan Westrom, Kevin Lee, and Burak Cesme. "Advancing Urban Multimodal Transportation System Performance Management." Transportation Research Record: Journal of the Transportation Research Board 2646, no. 1 (January 2017): 17–27. http://dx.doi.org/10.3141/2646-03.

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As in many cities, congestion in Washington, D.C., is one of the top concerns of residents, businesses, travelers, and policy makers. Monitoring and communicating system performance from a mobility perspective is challenging, particularly when dealing with the multimodal nature of travel in urban areas. The District Department of Transportation has identified a set of performance measures for multimodal mobility—including congestion—that are based on available data and is making these metrics available to the public and to policy makers through an innovative visualization tool. The study’s approach, measures, and visualization component provide a model for other jurisdictions to consider adopting when seeking to better understand and convey the challenges, opportunities, and interdependencies of multimodal travel.

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Li, Cheng Bing, Yi Zhang, Rui Xue Guo, and Xi Lu Li. "The Research of Hohhot in the Integration of Urban and Rural Public Transport Management System." Applied Mechanics and Materials 568-570 (June 2014): 1889–92. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1889.

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At present, the integration of urban and rural public transportation Hohhot is at an early stage, the thesis mainly studies the management of the integration of urban and rural public transportation system, analyzes the existing problems of integration of urban and rural public transport management system, puts forward the major traffic management mode, in the presence of Hohhot itself, puts forward about the strategy for the development of the integration of urban and rural public transportation management system, through these proposals and Suggestions to promote the development of Hohhot urban and rural public transportation integration.

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Gao, Zhi Min, Fa Sheng Liu, and Meng Chen. "Based on the Sustainable Development of Urban Transport Planning and Management." Applied Mechanics and Materials 97-98 (September 2011): 1127–30. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.1127.

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Along with social economy's swift development, the urbanization and the motorization advancement also speed up along with it, and brought the huge challenge for the municipal transportation. The altitude systematic characteristic is not only the municipal transportation bright characteristic, but also the substantial clause which transportation domain many questions difficulty with govern. The municipal transportation sustainable development question has become the key point and the difficult question of domestic and foreign sustainable development domain. This paper through the transportation plan and the urban planning interaction development, gives priority to the urban mass transit, the implementation transportation requirements management, optimizes the municipal transportation network, realizes the sustainable development, thus establishes the urban low-carbon transportation system.

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Chen, Rong Hua. "China’s Urban Low-Carbon Transportation." Advanced Materials Research 962-965 (June 2014): 1697–700. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.1697.

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At present, the development of China’s urban low-carbon transportation is lagging. This paper analyzed the status of carbon emissions of China's urban transportation, and pointed out that the main problems of China's urban low-carbon transportation were: high carbonation of the urban transportation structure, the unreasonableness of urban layout, the lagging management of low-carbon transportation, the lagging technology innovation of low-carbon transportation. Finally, based on the analysis of the problems, this paper put forward some measures for the development of China's urban low carbon transportation.

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Duan, Min. "Management system project design of urban intelligent transportation." Journal of Interdisciplinary Mathematics 21, no. 5 (July 4, 2018): 1175–79. http://dx.doi.org/10.1080/09720502.2018.1494585.

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Yao, Baozhen, Qianqian Yan, Qian Chen, Zhihui Tian, and Xuefeng Zhu. "Simulation-based optimization for urban transportation demand management strategy." SIMULATION 94, no. 7 (March 16, 2018): 637–47. http://dx.doi.org/10.1177/0037549718761189.

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Transportation demand management (TDM) is one of the important methods for solving the problem of increasingly severe urban traffic congestion. This paper proposes a bi-level model to optimize urban TDM strategies based on simulation. The upper level is the TDM strategy optimization model, searching for the optimal TDM strategy. The lower level is a traffic assignment model based on the simulation, assigning traffic flow to multimodal transport networks according to the candidate TDM strategies. A heuristic algorithm is also defined and implemented to optimize TDM strategies. Based on VISSIM simulation, the optimization for TDM strategies proposed in this paper is validated with the research area of Harbor Square–San Ba Square–Er Qi Square in Dalian in China. The results show that the optimization of urban TDM strategies can effectively alleviate urban traffic congestion. It provides a scientific decision basis for urban TDM policy.

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Xin, Linglai. "Current Status and Future Trend of Urban Low-Carbon Transportation in China." Urban Transportation & Construction 6, no. 2 (September 14, 2020): 25. http://dx.doi.org/10.18686/utc.v6i2.85.

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<p>The concept and connotation of urban low-carbon transportation are put forward and expounded. The status of energy consumption and carbon emission of urban transportation since 2000 in China is analyzed. The analysis shows that the total energy consumption and CO2 emission of urban transportation has increased rapidly, and public transportation has the lowest carbon emission intensity among all kinds of motor vehicles. The construction of urban low-carbon transportation in China faces the following problems: the development speed of public transportation lags behind; the non-motorization degree of residents’ travel structure has decreased greatly; the lack of effective demand management, weak awareness of energy conservation and emission reduction; and the urban transportation management system is incompatible with the construction of urban low-carbon transportation Based on the analysis of the present situation, this article puts forward three strategic directions and five main measures for the construction of low-carbon transportation in Chinese cities. Transportation industry is a basic service industry and a key area of urban energy conservation and emission reduction. Effective measures should be taken to accelerate the development of urban low-carbon transportation from the aspects of urban transportation planning, construction and operation.</p>

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Li, Bing, and Min Li. "Research on Terminal Construction and Operation Management about the Integration of Urban and Rural Bus." Advanced Materials Research 962-965 (June 2014): 2584–89. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2584.

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The speeding up of urbanization and urban-rural integration development strategy between urban and rural passenger flow increase rapidly. Urban and rural public transportation as a link between the central cities and vast rural areas, has a very important role.It can not only meet the demand of urban and rural residents, build and improve the structure of urban and rural dweller, also greatly promote the development of China's urban and rural integration process.Aiming at the existing problem of rural passenger transport, from the aspects of operating mode, equipped with the capacity to improve to accelerate the process of integration of urban and rural public transportation, take unified transportation operation mode.Taking Hohhot as an example, aiming at the problems of the city and then put forward the development strategy of public transportation, and gives the corresponding safeguard measures effectively.

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Huang, Kai, Chang Jiang, Pei Li, Ali Shan, Jian Wan, and Wenhu Qin. "A systematic framework for urban smart transportation towards traffic management and parking." Electronic Research Archive 30, no. 11 (2022): 4191–208. http://dx.doi.org/10.3934/era.2022212.

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<abstract> <p>Considering the wide applications of big data in transportation, machine learning and mobile internet technology, artificial intelligence (AI) has largely empowered transportation systems. Many traditional transportation planning and management methods have been improved or replaced with smart transportation systems. Hence, considering the challenges posed by the rising demand for parking spaces, traffic flow and real-time operational management in urban areas, adopting artificial intelligence technologies is crucial. This study aimed to establish a systematic framework for representative transportation scenarios and design practical application schemes. This study begins by reviewing the development history of smart parking systems, roads and transportation management systems. Then, examples of their typical application scenarios are presented. Second, we identified several traffic problems and proposed solutions in terms of a single parking station, routes and traffic networks for an entire area based on a case study of a smart transportation systematic framework in the Xizhang District of Wuxi City. Then, we proposed a smart transportation system based on smart parking, roads and transportation management in urban areas. Finally, by analyzing these application scenarios, we analyzed and predicted the development directions of smart transportation in the fields of smart parking, roads and transportation management systems.</p> </abstract>

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Cai, Jin De, and Ke Zhang. "Study on Park and Ride Locating Based on Transportation Demand Management." Advanced Materials Research 1030-1032 (September 2014): 2254–59. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.2254.

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With the increasingly serious problem of urban traffic congestion, more attention is focused on the Park and Ride (P&R) schemes based on urban transportation demand (TDM) management. The P&R locating research, as an important part of the scheme, plays an important role to strengthen the transportation management. On the basis of identifying all the potential P&R locations, and from the macroscopic perspective of urban transportation network, this paper establishes a model of P&R locating in order to minimize their construction costs as well as the total transportation costs. Example analysis is finally carried out with the help of Lingo software, thus testifying the validity of this research.

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Ferreira da Cruz, Nuno, and Rui Cunha Marques. "Rocky Road of Urban Transportation Contracts." Journal of Management in Engineering 30, no. 5 (September 2014): 05014010. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000224.

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15

Pan, Ke. "Current Situation and Development Trend of Urban Traffic Engineering Management." BCP Business & Management 13 (November 16, 2021): 366–71. http://dx.doi.org/10.54691/bcpbm.v13i.108.

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With the continuous progress of social civilization and the development of the times, the industrial economy and people's living conditions in various regions of China have changed with each passing day in recent years. Relevant state departments have also paid more attention to the transportation industry. As the core of economic development, urban transportation projects are more complex than those in township areas and have higher requirements for managers. With the improvement of people's quality of life, the modes of transportation have become diverse. To ensure that all parts of the city can be carried out in an orderly manner and provide people with more unobstructed transportation facilities, we should constantly keep up with the pace of development of the times and improve the urban traffic engineering management. In this paper, the author mainly analyzes the current situation of urban traffic engineering management, and puts forward a series of effective measures to promote the development of urban traffic management.

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Li, Jian, Hong Yuan Liu, and Xin Teng. "Research on the Driving Force Factors of Development of Low Carbon of Urban Transportation: Taking Tianjin as an Example." Advanced Materials Research 798-799 (September 2013): 1115–18. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.1115.

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Urban transportation is the main way of carbon emission, development of low-carbon transportation has become the focus of attention of the countries all over the world. This paper analyses the influencing factors of carbon emission of Tianjin transportation based on grey correlation method, putting forward that the cost of urban resident transportation, traffic volume of urban passenger, number of private car and energy consumption of urban transportation are the most important key factors. Therefore, in order to construct low-carbon transportation system, Tianjin should design the layoff of urban space reasonably to control the demand of transportation effectively to reduce the urban transportation cost first, develop urban public transportation to optimize the urban traffic structure in response to the growing urban traffic volume of passenger second , establish a series of laws and regulations to improve the urban traffic management level to strengthen the supervision of private cars third, develop and apply new technology and new energy to adjust the energy structure of urban transportation to reduce urban transportation energy consumption at last.

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I, Fedorenko. "ANALYSIS OF THE IMPACT OF ROUTE, ROAD AND OPERATIONAL FACTORS ON THE TRANSPORT ENERGY EFFICIENCY OF URBAN PASSENGER TRANSPORTATION." National Transport University Bulletin 1, no. 51 (2022): 399–407. http://dx.doi.org/10.33744/2308-6645-2022-1-51-399-407.

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The article establishes the relevance of using simulation test methods of technical and technological energy saving and increasing technological competitiveness of motor transport services according to energy criteria when renewing the fleet of buses for urban passenger transportation. It is shown that the existing methodology of bus transport organization does not provide urban passenger bus fleet renewal according to the concept of operational and technological energy saving and improvement of technological competitiveness of automobile transport services. According to the results of multivariate modeling the interrelation between the tasks of formation of energy saving technologies of passenger urban road transport and improvement of the method of technological selection of buses for urban routes with taking into account different (technical, operational and routing) factors. Quantitative dependences of influence of technical, operational and route factors on indexes of transport energy efficiency of transportations and operational intensity of machine procedures of bus transport technologies are received. The object of the research is the energy-consuming process of urban bus transportations taking into account the influence of various factors (technical, operational and route factors). Purpose of work – analysis of route and operational factors influence on transport energy efficiency of urban passenger transportation based on test modeling of bus operation as resource-technical means of motor transport technology. The method of the research is evolution-simulation analysis of transport energy efficiency of transportation and operational intensity of machine procedures of bus transportation technology in multiphase test operations, in which city route network conditions and different factors of bus transportation are taken into account, using software and methods of test-simulation analysis of generalized type vehicles of the NTU Department of Transport Technologies. 407 The results of the article and the method can be implemented by managers of passenger motor transport for long-term management of conceptually oriented development of resource and technological basis of motor transport enterprises and technological processes of bus transportation in cities. KEYWORDS: BUS, URBAN PASSENGER TRANSPORTATION, TRANSPORT ENERGY EFFICIENCY, OPERATIONAL INTENSITY OF MACHINE PROCEDURES, TECHNOLOGY TECHNICAL AND OPERATIONAL FACTORS, EVOLUTIONARY MODELING

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Bagheri, Mohammad, Hossein Ghafourian, Morteza Kashefiolasl, Mohammad Taghi Sadati Pour, and Mohammad Rabbani. "Travel management optimization based on air pollution condition using Markov decision process and genetic algorithm (case study: Shiraz city)." Archives of Transport 53, no. 1 (April 30, 2020): 89–102. http://dx.doi.org/10.5604/01.3001.0014.1746.

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Currently, air pollution and energy consumption are the main issues in the transportation area in large urban cities. In these cities, most people choose their transportation mode according to corresponding utility including traveller's and trip’s characteristics. Also, there is no effective solution in terms of population growth, urban space, and transportation demands, so it is essential to optimize systematically travel demands in the real network of roads in urban areas, especially in congested areas. Travel Demand Management (TDM) is one of the well-known ways to solve these problems. TDM defined as a strategy that aims to maximize the efficiency of the urban transport system by granting certain privileges for public transportation modes, Enforcement on the private car traffic prohibition in specific places or times, increase in the cost of using certain facilities like parking in congested areas. Network pricing is one of the most effective methods of managing transportation demands for reducing traffic and controlling air pollution especially in the crowded parts of downtown. A little paper may exist that optimize urban transportations in busy parts of cities with combined Markov decision making processes with reward and evolutionary-based algorithms and simultaneously considering customers’ and trip’s characteristics. Therefore, we present a new network traffic management for urban cities that optimizes a multi-objective function that related to the expected value of the Markov decision system’s reward using the Genetic Algorithm. The planned Shiraz city is taken as a benchmark for evaluating the performance of the proposed approach. At first, an analysis is also performed on the impact of the toll levels on the variation of the user and operator cost components, respectively. After choosing suitable values for the network parameters, simulation of the Markov decision process and GA is dynamically performed, then the optimal decision for the Markov decision process in terms of total reward is obtained. The results illustrate that the proposed cordon pricing has significant improvement in performance for all seasons including spring, autumn, and winter.

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Ezzedine, Houcine, Therese Bonte, Christophe Kolski, and Christian Tahon. "Integration of Traffic Management and Traveller Information Systems: Basic Principles and Case Study in Intermodal Transport System Management." International Journal of Computers Communications & Control 3, no. 3 (September 1, 2008): 281. http://dx.doi.org/10.15837/ijccc.2008.3.2396.

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As they involve many interacting agents behaving in numerous ways that are extremely difficult to predict, urban transportation systems are complex in nature. The development of intermodal passenger transportation solutions to address the mobility issues constitutes a major thrust area of urban transport policies. But, to offer citizens comprehensive seamless mobility, intermodal transportation system management (ITSM) requires the integration of two major components. The traffic regulation support system, to help the operator responsible for the regulation tasks: coordination of timetables, synchronising arrival and departure times between the different transportation modes, and the traveller information system, giving customers access to information and using a comprehensive set of information tools. In this paper, a generic model of a transport management system, integrating these two components is proposed. This generic model is then used to elaborate a traffic regulation system in the case of a bimodal transportation system (tram-bus). The traffic regulation support system, based on the decision model of an operator, and the traveler information system are described.

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Li, Li Hui, and Jun Wang. "Study on Equalization of Urban-Rural Public Transportation." Applied Mechanics and Materials 178-181 (May 2012): 1761–64. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.1761.

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Urban - rural public transportation is meaningful for promoting the urban and rural turnover, making the benefit of passenger resources comprehensive maximization. Equalization of urban-rural public transportation is important for coordinating of urban and rural development, promoting the integration of urban and rural areas, eliminating the urban and rural development imbalance .But it' not equal between urban and rural public traffic at present due to the demand, the management model different in China. It’s necessary to clear and improve the position of urban –rural public transportation in the social security system, to establish financial support system combine fairness and efficiency, establish the assessment and evaluation mechanism of urban-rural public transportation development level to promoting the development equally of urban-rural public transportation

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Kaza, Nikhil. "Urban form and transportation energy consumption." Energy Policy 136 (January 2020): 111049. http://dx.doi.org/10.1016/j.enpol.2019.111049.

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WU, WEI. "Research on Urban Congestion Control Strategy Based on Smart Traffic Management System." Journal of Humanities and Social Sciences Studies 4, no. 1 (February 14, 2022): 89–96. http://dx.doi.org/10.32996/jhsss.2022.4.1.9.

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With the rapid economic development, the scale of cities has expanded, the population of cities has increased, the number of motor vehicles has increased, the contradiction between traffic supply and traffic demand has increased, and traffic congestion has appeared in major cities. Many countries have proposed planning and construction measures and policies in the current smart transportation development and construction. The construction of smart transportation requires a complete management system for planning. The article selects smart transportation in some countries and regions to conduct inductive analysis in the smart transportation management system construction measures and put forward suggestions for my country's smart transportation construction to effectively alleviate urban congestion.

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Hua, Hong, and Yu Han Xiong. "Research on Assessment of Urban Transportation Low-Carbonization Development." Advanced Materials Research 779-780 (September 2013): 872–77. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.872.

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Five influence factors of urban transportation low-carbonization development are analyzed which includes low-carbon transportation planning, road network construction, green travel, energy utilization and transportation management. The assessment indicator system and the assessment method of urban transportation low-carbonization development are set up. A case of assessment in Chengyang District is studied.

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Rabinovitch, Jonas. "A sustainable urban transportation system." Energy for Sustainable Development 2, no. 2 (July 1995): 11–18. http://dx.doi.org/10.1016/s0973-0826(08)60119-2.

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Guo, Rong, Xiaoya Song, Peiran Li, Guangming Wu, and Zhiling Guo. "Large-Scale and Refined Green Space Identification-Based Sustainable Urban Renewal Mode Assessment." Mathematical Problems in Engineering 2020 (September 29, 2020): 1–12. http://dx.doi.org/10.1155/2020/2043019.

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Urban sustainable renewal has received extensive attention in a wide range of fields, including urban planning, urban management, energy management, and transportation. Given that environmental resource conservation is critical to urban sustainability renewal, this study highlighted the imbalance among green space, urban development, and transportation accessibility. Here, a novel node-place-green model is presented to measure sustainable urban development; meanwhile, deep learning is utilized to identify and extract the green space to measure the environmental index. Based on the generated node, place, and green value, urban developing status could be classified into nine modes for further analysis of transportation, urban function, and ecological construction. The experimental results of Harbin reveal the feasibility of the proposed method in providing specific guidelines for urban planning and policies on sustainable development.

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Ahmed, Samir A. "Urban Freeway Traffic Management Technology." Journal of Transportation Engineering 112, no. 4 (July 1986): 369–79. http://dx.doi.org/10.1061/(asce)0733-947x(1986)112:4(369).

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Giuliano, Genevieve. "Transportation Demand Management: Promise or Panacea?" Journal of the American Planning Association 58, no. 3 (September 30, 1992): 327–35. http://dx.doi.org/10.1080/01944369208975811.

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Zhang, Yanling, Xu Luo, Xiaoxuan Han, Yongxing Lu, Jiacheng Wei, and Chunyu Yu. "Optimization of Urban Waste Transportation Route Based on Genetic Algorithm." Security and Communication Networks 2022 (April 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/8337653.

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Under the normal conditions of the new economy, people’s living standards have improved; the amount of urban domestic waste has increased suddenly; and the differentiation of waste has become more and more complicated. However, the garbage transportation method at this stage has been difficult to meet the needs of reality. Therefore, it is particularly urgent to reform the original and simple treatment methods and adopt the latest and more reasonable garbage transportation. The urban waste transportation route optimization described in this article is quite complicated in the specific problems faced in the optimization of the urban domestic waste transportation route. This paper proposes to combine computer science to study the system optimization model and combine information management and other disciplines to develop and apply research on the dynamic management software of urban waste logistics systems. In the modern service industry, logistics occupies an important position. The optimization of urban waste transportation routes based on genetic algorithms also promotes the development of high-end modern service industries and is an important task to promote urban development and maintained hygiene and improve the healthcare of the citizens. The optimization of urban waste transportation routes is conducive to creating a clean and tidy urban environment.

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Mu, Zhen Hai. "An Object-Oriented-Based Design for Urban Public Transportation Management Systems." Applied Mechanics and Materials 556-562 (May 2014): 6750–53. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6750.

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With the rapid development of Internet, it has been an important channel to access, publish and deliver information. Apparently, Internet has been a part of social life. However, our urban public transportation management systems still require to be improved. There are few methods available for people to search public transport routes. The most popular method is asking people or searching on a transportation map. An urban public transportation management system allows people to search public transport routes through Internet easily and conveniently. By collecting stop information on the routes, people can make a better travel plan before leaving home. The main module in the system is the transportation query module, the functionalities of which include route query, stop query, and station-to-station query, and station query; while the management module deals with operation processing on tables, such as insertion, modification and deletion, and responses to questions in guest books.

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Cydahy, Brian J. "The federal role in urban mass transportation." Business Horizons 35, no. 1 (January 1992): 87. http://dx.doi.org/10.1016/0007-6813(92)90124-r.

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Yunes, Tallys H., Arnaldo V. Moura, and Cid C. de Souza. "Hybrid Column Generation Approaches for Urban Transit Crew Management Problems." Transportation Science 39, no. 2 (May 2005): 273–88. http://dx.doi.org/10.1287/trsc.1030.0078.

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Rose, William J., Diane A. Mollenkopf, Chad W. Autry, and Brent D. Williams. "Tailoring Transportation Planning Decisions to Diverse Urban Environments." Decision Sciences 51, no. 4 (June 20, 2019): 920–61. http://dx.doi.org/10.1111/deci.12397.

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Mohammadi, Mehdi, Gholamali Shafabakhsh, and Ali Naderan. "Macro-Level Modeling of Urban Transportation Safety: Case-Study of Mashhad (Iran)." Transport and Telecommunication Journal 18, no. 4 (December 20, 2017): 282–88. http://dx.doi.org/10.1515/ttj-2017-0025.

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Abstract Transportation safety can be aimed at the planning stage in order to adopt safety management and evaluate the long-time policies. The main objective of this research was to make use of crash prediction models in urban transportation planning process. As such, it was attempted to gather data on the results of transportation master plan as well as Mashhad urban crash database. Two modelling method, generalized linear model with negative binomial distribution and geographically weighted regression, were considered as the methods used in this research. Trip variables, including trip by car, trip by bus, trip by bus services and trip by school services, were significant at 95%. The results indicated that both finalized models were competent in predicting urban crashes in Mashhad. Regarding to results urban transportation safety will be improved by changing the modal share for example from private car to bus. The application of the process presented in this study can improve the urban transportation safety management processes and lead to more accurate prediction in terms of crashes across urban traffic areas.

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Jrew, Basim, Majed Msallam, and Mona Momani. "Strategic Development of Transportation Demand Management in Jordan." Civil Engineering Journal 5, no. 1 (January 27, 2019): 48. http://dx.doi.org/10.28991/cej-2019-03091224.

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The urban population growth and increase in a number of vehicles have affected the travel demand on Jordan Streets. The study aims to apply the Transportation Demand Management (TDM) policies to reduce the traffic flow in urban areas and improve the Level of Service (LOS). A group of a combination between TDM and Transportation System Management (TSM) strategies have been conducted, when TDM strategies were not successful to improve LOS. TSM concept refers to any group of actions that increase the capacity of roads network. Synchro 8 software was used to analyse the intersection conditions as important point, connecting two main arterial street in Amman area. A significant reduction in delay and fuel consumption was measured, but there was no real enhancement in LOS. The LOS was improved, when traffic demand was reduced by 20% and capacity was increased with 6 lanes on each approach for the existing conditions. The percentage of saving in fuel consumption and delay was observed to be around 64% and 63%, respectively for the next 5 years.

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Li, Cheng Bing, Rui Xue Guo, Min Li, and Jian Chao Wang. "Traffic Demand Model to Study Urban Agglomeration Transportation System." Applied Mechanics and Materials 587-589 (July 2014): 1805–8. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.1805.

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The determination of traffic demand for urban transportation system is one of the core content of urban traffic planning, it is the basis for the traffic demand management strategy. First of all, the paper expounds the concept of urban agglomeration and features, on this basis, the traffic supply and traffic demand of urban agglomeration transportation system is analyzed. Second, according to land area for urban residents travel demand, according to the classification of goods transport industry production requirements were determined, thus to construct a system of urban agglomeration transportation traffic demand model.

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Yu, Meigui, and Armagan Bayram. "Management of the curb space allocation in urban transportation system." International Transactions in Operational Research 28, no. 5 (January 25, 2021): 2414–39. http://dx.doi.org/10.1111/itor.12941.

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Dong, Hairong, Bin Ning, Yao Chen, Xubin Sun, Ding Wen, Yuling Hu, and Renhai Ouyang. "Emergency Management of Urban Rail Transportation Based on Parallel Systems." IEEE Transactions on Intelligent Transportation Systems 14, no. 2 (June 2013): 627–36. http://dx.doi.org/10.1109/tits.2012.2228260.

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Ning, Bin, Hai-Rong Dong, Ding Wen, Lefei Li, and Chang-Jian Cheng. "ACP-Based Control and Management of Urban Rail Transportation Systems." IEEE Intelligent Systems 26, no. 2 (March 2011): 84–88. http://dx.doi.org/10.1109/mis.2011.25.

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Liu, Xiaoming, Shaohu Tang, Yuetong Lin, Zhengxi Li, and Zhaomeng Chen. "ACP-Based Management and Control for Urban Passenger Transportation Hubs." IEEE Intelligent Systems 32, no. 6 (November 2017): 58–66. http://dx.doi.org/10.1109/mis.2017.4531224.

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Mátrai, Tamás, János Tóth, and Márton Tamás Horváth. "Route Planning Based On Urban Mobility Management." Hungarian Journal of Industry and Chemistry 44, no. 2 (December 1, 2016): 71–79. http://dx.doi.org/10.1515/hjic-2016-0008.

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Abstract Mobility management centres play a significant role in urban transport, taking into account several factors that have an effect on the flow of vehicles. In the present paper a mobility management centre equipped with necessary information and information technologies for travellers is presented that can provide route plans. A route guidance methodology is described that combines current transportation demands with the results of the traditional four-step model.

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Clegg, Janet, Mike Smith, Yanling Xiang, and Robert Yarrow. "Bilevel programming applied to optimising urban transportation." Transportation Research Part B: Methodological 35, no. 1 (January 2001): 41–70. http://dx.doi.org/10.1016/s0191-2615(00)00018-7.

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Hu, Yaqi, and Yingzi Chen. "Coupling of Urban Economic Development and Transportation System: An Urban Agglomeration Case." Sustainability 14, no. 7 (March 23, 2022): 3808. http://dx.doi.org/10.3390/su14073808.

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Urban agglomeration is a new carrier of regional economic development, whose spatial structure can be reflected by the transportation system. The coordination between urban economic development and the transportation system is conducive to promoting balanced urban economic development. As an important urban cluster of China, the Harbin-Changchun urban agglomeration plays an important role in promoting the revitalization of northeast China. Targeting 11 cities of the Harbin-Changchun urban agglomeration, this paper adopts the coupling coordination degree model to study the coordination level of urban economic development and the transportation system. The results show that large differences exist among the cities, with Changchun at the outstanding position. A more developed transportation system exists in the western Harbin-Changchun urban agglomeration, while the east is in a worse condition. The coupling coordination degree of the urban economic development and transportation system shows obvious stratification. Further adjusting the industrial structure, expanding the degree of opening to the outside world, and increasing investment in transportation technological innovation are recommended to promote an integrated development pattern in the Harbin-Changchun urban agglomeration.

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Wang, Zheng Yu, Cheng Bing Li, Xiang Li Zou, and Rui Xue Guo. "Research on Urban Traffic Sustainable Development of Huhhot." Applied Mechanics and Materials 587-589 (July 2014): 2268–72. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.2268.

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In recent years, the urban transportation, as a long-term project for urban traffic development, have been raised to strategic height. On the basis of sustainable development theories and foothold on Huhhot’s urban traffic condition, we deeply analyses it’s traffic characteristics, existing problems and developmental superiority in this paper. By exerting the requirement of urban transportation and combining it with Huhhot’s geographic characteristics, economic level, resource storage and management mechanism, we put forward some advices that aimed to solve the problems during it’s transportation development.

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Wolf, Kathleen. "Freeway Roadside Management: The Urban Forest Beyond the White Line." Arboriculture & Urban Forestry 29, no. 3 (May 1, 2003): 127–36. http://dx.doi.org/10.48044/jauf.2003.016.

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A national survey was conducted in the United States to learn more about public preferences and perceptions regarding forest and vegetation planning and management in urban freeway roadsides. In response to images depicting a visual continuum of landscape management treatments, drivers most preferred settings having tree plantings that screen adjacent commercial land uses. Preference results suggest solutions for landscape practices that create visual quality for drivers and provide visibility for commercial properties adjacent to freeway roadsides. The research also investigated public attitudes about roadside functions, uses, and public willingness to support roadside management expenditures. Increasingly, transportation agencies are designing urban roadside landscapes to achieve multiple objectives and perform multiple functions. This research offers insights on how to incorporate urban forestry into the planning and management of high-speed urban transportation corridors.

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Liu, Zi Yu, Guo Xia Yang, and Hao Liang Jiang. "Research on Information Industry of Rail Transportation." Applied Mechanics and Materials 433-435 (October 2013): 1383–87. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1383.

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Rail transportation includes intercity rail transportation and urban rail transportation. Information technology is indispensable for the development of rail transportation. This paper first gives the architecture of rail transportation information technology, and puts forward the structure of rail transportation information industry based on it. In this paper, rail transportation information industry is divided into communication industry, Signal industry, vehicle information industry, power monitoring industry, environmental control and fire alarm industry, automatic fare collection industry, operation and management system industry. Then from the two aspects of railway and urban rail transportation, this paper analyses each industry chain in the rail transportation information industry.

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Brydia, Robert E., Shawn M. Turner, William L. Eisele, and Jyh C. Liu. "Development of Intelligent Transportation System Data Management." Transportation Research Record: Journal of the Transportation Research Board 1625, no. 1 (January 1998): 124–30. http://dx.doi.org/10.3141/1625-16.

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The intelligent transportation system (ITS) components deployed in U.S. urban areas produce vast amounts of data. These ITS data often are used for real-time operations and then are discarded. Few transportation management centers have any mechanism for sharing the data resources among other transportation groups or agencies within the same jurisdiction. Meanwhile, transportation analysts and researchers often struggle to obtain accurate, reliable data about existing transportation performance and patterns. The development of an ITS data management system (referred to as ITS DataLink) that is used to store, access, analyze, and present data from the TransGuide center in San Antonio, Texas, is presented. Data outputs are both tabular and graphical. No user costs are associated with the system except for an Internet connection.

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Ma, Fang, Li Hua Chen, Yi Ping Luo, and Qi Hua Ma. "Study on Regional Development of Urban Public Transportation and Management Strategies." Applied Mechanics and Materials 209-211 (October 2012): 767–70. http://dx.doi.org/10.4028/www.scientific.net/amm.209-211.767.

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As a rapid growth developing country with the vast area, the level of economic growth and city size in China is inconsistent in each administrative region. Therefore, it is an important issue to analyze the development status of the various administrative areas of urban public transportation, in order to compare their development and management patterns. In this article, the regional development of urban public passenger transportation system will be studied through statistical analysis, and then management measures will be proposed based on the comparative analysis.

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Penshin, N. V., and A. A. Titova. "OPTIMIZATION OF TRANSPORTATION ON URBAN PASSENGER LINES." World of Transport and Transportation 14, no. 1 (February 28, 2016): 174–84. http://dx.doi.org/10.30932/1992-3252-2016-14-1-18.

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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 The objective of the work is to optimize urban transportation by giving priority to route passenger transport, including by using bus lanes. Methods of study are full-scale observations, statistics, and reporting. Improvement of traffic management can increase safety level, reduce a number of conflict points, increase carrying capacity and speed of communication, ensure application of advanced technologies in the system of vehicle movement regulation. The article continues reports on researches conducted by the authors in the town of Tambov (see World of Transport and Transportation, Vol. 13, 2015, Iss. 3 and 5). Keywords: bus, trolleybus, bus lanes, route passenger transport, traffic management, carrying capacity, speed of communication. REFERENCES 1.GOST [state standard] 51256-99 «Technical means of traffic management.Road markings.Types and basic parameters.General technical requirements» [GOST R51256-99 «Tehnicheskie sredstva organizacii dorozhnogo dvizhenija. Razmetka dorozhnaja. Tipy i osnovnye parametry. Obshhie tehnicheskie trebovanija»]. 2.Government Decree of the Russian Federation № 767 of 28.09.2009, «On the classification of roads in the Russian Federation» [Postanovlenie pravitel’stva RF № 767 ot 28.09.2009 g. «O klassifikacii avtomobil’nyh dorog v Rossijskoj Federacii»].[Electronic resource]: http://www.consultant.ru/document/cons_doc_LAW_92016/.Last accessed 17.04.2014. 3.Pugachev, I. N.Organization and traffic safety: educational guide [Organizacija i bezopasnost’ dvizhenija: Ucheb. posobie].Khabarovsk, Publishing house of KhSTU, 2004, 232 p. 4.Yakimov, M. R.Analysis of impact of different scenarios for transport system development of a large city on possible options for violation of urban structure integrity [Analiz vlijanija razlichnyh scenariev razvitija transportnoj sistemy krupnogo goroda na vozmozhnye varianty narushenija celostnosti gorodskoj struktury].Vestnik transporta Povolzh’ja, 2011, Iss.1, pp.18-24. 5.Yakimov, M. R.Methodology of feasibility study of allocating separate lanes for public transport on the road network of a large city [Metodologija obosnovanija celesoobraznosti vydelenija obosoblennyh polos dlja dvizhenija obshhestvennogo transportnogo na ulichno-dorozhnoj seti krupnogo goroda.[Electronic resource]: http://road.perm.ru/index.php?id=1312.Last accessed 15.05.2014. 6.Penshin, N.V., Titova, A. A.Car and pedestrian: conflict crossing points.World of Transport and Transportation, Vol.13, 2015, Iss.3, pp.172-183. 7.Penshin, N.V., Titova, A. A.Traffic organization: passenger flow and accident rate.World of Transport and Transportation, Vol.13, 2015, Iss.5, pp.168-183.

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Li, Wen, Wei Feng, and Hua-zhi Yuan. "Multimode Traffic Travel Behavior Characteristics Analysis and Congestion Governance Research." Journal of Advanced Transportation 2020 (November 26, 2020): 1–8. http://dx.doi.org/10.1155/2020/6678158.

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The rapid aggregation of modern urban population and the rapid growth of car travel lead to traffic congestion, environmental pollution, and other problems. In view of the limited land resources in our country, it is impractical to meet residents’ travel demand by blindly increasing traffic supply. Therefore, addressing the urban road congestion problem for sustainable development of modern cities, the paper makes research on residents’ travel behavior characteristics and travel preference under the condition of multimodal transportation to formulate reasonable traffic demand management strategy for the guide on public traffic demand, bus priority strategy, and congestion management. The operation characteristic of each transportation mode is analyzed by comparing its related traffic and economic characteristics. Multimode traffic choice behavior is discussed by establishing multiple logistic regression models to analyze the main influencing factors to travelers’ social and economic attributes, travel characteristics, and preference based on travel survey data of urban residents. The paper proposes the development of an urban public transportation system and travelling mode shift from cars to public transportation as reasonable travel structure for congestion management and sustainable development of modern cities.

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Hu, Xiao Wei, Jian Wang, and Guang Lin Sun. "A Game Theory Approach for the Operators’ Behavior Analysis in the Urban Passenger Transportation Market." Advanced Engineering Forum 5 (July 2012): 38–43. http://dx.doi.org/10.4028/www.scientific.net/aef.5.38.

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Urban passenger transportation market in China now is composed by three public transportation modes, including the conventional bus, taxi and the subway (or light rail). There are both cooperation and competitive behavior existing among these three different transportation modes. This paper aims to describe how these three operators make their operational decisions in the competitive environment. A bi-level programming operational model is proposed to model urban passenger transportation operators’ decision behavior, which is based on the game theory to describe the behavioral conjectures among the management authority, different operators and passengers. The upper-level model described the management authority’ regulation on the fares of each mode, which aimed to achieve the comprehensive social objectives, indexed by the travel time cost, air pollution cost and energy consumption cost. The lower-level model described the three operators’ aiming to maximize the profit by determining the service frequency, which can reflect the operators’ cooperation and completive behavior under urban passenger transportation economic policy. A Logit model is proposed to analyze passengers’ mode choice behavior with the maximization of their travel utilities, which considers the total travel time, waiting time and total travel fare of each mode. This research will provide more evidence for urban passenger transportation development and contribute to urban passenger transportation economic policy establishment and implementation.

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Journal articles on the topic 'Urban transportation Management'

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