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Статті в журналах з теми "Multi-modal transportation system"
Flórez, José, Álvaro Torralba Arias de Reyna, Javier García, Carlos Linares López, Ángel García-Olaya, and Daniel Borrajo. "Planning Multi-Modal Transportation Problems." Proceedings of the International Conference on Automated Planning and Scheduling 21 (March 22, 2011): 66–73. http://dx.doi.org/10.1609/icaps.v21i1.13466.
Повний текст джерелаWu, Fanyou, Cheng Lyu, and Yang Liu. "A personalized recommendation system for multi-modal transportation systems." Multimodal Transportation 1, no. 2 (June 2022): 100016. http://dx.doi.org/10.1016/j.multra.2022.100016.
Повний текст джерелаKAWAKAMI, Shogo, Yasuhiro HIROBATA, and Kwang-Suk SEO. "AN EVALUATION METHOD OF MULTI-MODAL TRANSPORTATION SYSTEM." Studies in Regional Science 18 (1987): 125–44. http://dx.doi.org/10.2457/srs.18.125.
Повний текст джерелаChaturvedi, Manish, and Sanjay Srivastava. "Multi-Modal Design of an Intelligent Transportation System." IEEE Transactions on Intelligent Transportation Systems 18, no. 8 (August 2017): 2017–27. http://dx.doi.org/10.1109/tits.2016.2631221.
Повний текст джерелаShi, Hong Yun, Xiao Qing Zeng, Dong Bing Shi, Wen Chen Yang, and Kai Xiang Cao. "The Design and Application of the Multi-Modal Transportation System for Large-Scale Events." Applied Mechanics and Materials 209-211 (October 2012): 938–44. http://dx.doi.org/10.4028/www.scientific.net/amm.209-211.938.
Повний текст джерелаLiu, Yang, Cheng Lyu, Zhiyuan Liu, and Jinde Cao. "Exploring a large-scale multi-modal transportation recommendation system." Transportation Research Part C: Emerging Technologies 126 (May 2021): 103070. http://dx.doi.org/10.1016/j.trc.2021.103070.
Повний текст джерелаLiu, Hao, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, and Hui Xiong. "Multi-modal transportation recommendation with unified route representation learning." Proceedings of the VLDB Endowment 14, no. 3 (November 2020): 342–50. http://dx.doi.org/10.14778/3430915.3430924.
Повний текст джерелаDzemydienė, Dalė, Aurelija Burinskienė, and Arūnas Miliauskas. "Integration of Multi-Criteria Decision Support with Infrastructure of Smart Services for Sustainable Multi-Modal Transportation of Freights." Sustainability 13, no. 9 (April 22, 2021): 4675. http://dx.doi.org/10.3390/su13094675.
Повний текст джерелаLARIOUI, Jihane. "Multi-Agent System Architecture Oriented Prometheus Methodology Design for Multi-modal Transportation." International Journal of Emerging Trends in Engineering Research 8, no. 5 (May 25, 2020): 2118–25. http://dx.doi.org/10.30534/ijeter/2020/105852020.
Повний текст джерелаSandhya, G., S. Suvetha, S. Swathi, and R. Shwetha. "Analysis on Multi Modal Transportation System Using Spatial Domain Inverse." Journal of Physics: Conference Series 1916, no. 1 (May 1, 2021): 012108. http://dx.doi.org/10.1088/1742-6596/1916/1/012108.
Повний текст джерелаДисертації з теми "Multi-modal transportation system"
Wang, Jinghui. "Multi-modal Energy Consumption Modeling and Eco-routing System Development." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78624.
Повний текст джерелаPh. D.
Thuillier, Etienne. "Extraction of mobility information through heterogeneous data fusion : a multi-source, multi-scale, and multi-modal problem." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCA019.
Повний текст джерелаToday it is a fact that we live in a world where ecological, economic and societal issues are increasingly pressing. At the crossroads of the various guidelines envisaged to address these problems, a more accurate vision of human mobility is a central and major axis, which has repercussions on all related fields such as transport, social sciences, urban planning, management policies, ecology, etc. It is also in the context of strong budgetary constraints that the main actors of mobility on the territories seek to rationalize the transport services and the movements of individuals. Human mobility is therefore a strategic challenge both for local communities and for users, which must be observed, understood and anticipated.This study of mobility is based above all on a precise observation of the movements of users on the territories. Nowadays mobility operators are mainly focusing on the massive use of user data. The simultaneous use of multi-source, multi-modal, and multi-scale data opens many possibilities, but the latter presents major technological and scientific challenges. The mobility models presented in the literature are too often focused on limited experimental areas, using calibrated data, etc., and their application in real contexts and on a larger scale is therefore questionable. We thus identify two major issues that enable us to meet this need for a better knowledge of human mobility, but also to a better application of this knowledge. The first issue concerns the extraction of mobility information from heterogeneous data fusion. The second problem concerns the relevance of this fusion in a real context, and on a larger scale. These issues are addressed in this dissertation: the first, through two data fusion models that allow the extraction of mobility information, the second through the application of these fusion models within the ANR Norm-Atis project.In this thesis, we finally follow the development of a whole chain of processes. Starting with a study of human mobility, and then mobility models, we present two data fusion models, and we analyze their relevance in a concrete case. The first model we propose allows to extract 12 types of mobility behaviors. It is based on an unsupervised learning of mobile phone data. We validate our results using official data from the INSEE, and we infer from our results, dynamic behaviors that can not be observed through traditional mobility data. This is a strong added-value of our model. The second model operates a mobility flows decompositoin into six mobility purposes. It is based on a supervised learning of mobility surveys data and static data from the land use. This model is then applied to the aggregated data within the Norm-Atis project. The computing times are sufficiently powerful to allow an application of this model in a real-time context
Bevrani, Bayan. "Multi-criteria capacity assessment and planning models for multi-modal transportation systems." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/122895/1/Bayan_Bevrani_Thesis.pdf.
Повний текст джерелаDoshi, Siddharth. "Designing a multi-modal traveler information platform for urban transportation." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37167.
Повний текст джерелаGoswami, Subhajit. "One-Shot Coordination of First and Last Mode Service in Multi-Modal Transportation." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4535.
Повний текст джерела"Data organization for routing on the multi-modal public transportation system: a GIS-T prototype of Hong Kong Island." 2001. http://library.cuhk.edu.hk/record=b5890808.
Повний текст джерелаThesis (M.Phil.)--Chinese University of Hong Kong, 2001.
Includes bibliographical references (leaves 130-138).
Abstracts in English and Chinese.
ABSTRACT IN ENGLISH --- p.i-ii
ABSTRACT IN CHINESE --- p.iii
ACKNOWLEDGEMENTS --- p.iv-v
TABLE OF CONTENTS --- p.vi-viii
LIST OF TABLES --- p.ix
LIST OF FIGURES --- p.x-xi
Chapter CHAPTER I --- INTRODUCTION
Chapter 1.1 --- Problem Statement --- p.1
Chapter 1.2 --- Research Purpose --- p.5
Chapter 1.3 --- Significance --- p.7
Chapter 1.4 --- Methodology --- p.8
Chapter 1.5 --- Outline of the Thesis --- p.9
Chapter CHAPTER II --- LITERATURE REVIEW
Chapter 2.1 --- Introduction --- p.12
Chapter 2.2 --- Origin of GIS --- p.12
Chapter 2.3 --- Development of GIS-T --- p.15
Chapter 2.4 --- Capabilities of GIS-T --- p.18
Chapter 2.5 --- Structure of a GIS-T --- p.19
Chapter 2.5.1 --- Data Models for GIS-T --- p.19
Chapter 2.5.2 --- Relational DBMS and Dueker-Butler's Data Model for Transportation --- p.22
Chapter 2.5.3 --- Objected-oriented Approach --- p.25
Chapter 2.6 --- Main Techniques of GIS-T --- p.26
Chapter 2.6.1 --- Linear Location Reference System --- p.26
Chapter 2.6.2 --- Dynamic Segmentation --- p.27
Chapter 2.6.3 --- Planar and Non-planar Networks --- p.28
Chapter 2.6.4 --- Turn-table --- p.28
Chapter 2.7 --- Algorithms for Finding Shortest Paths on a Network --- p.29
Chapter 2.7.1 --- Overview of Routing Algorithms --- p.29
Chapter 2.7.2 --- Dijkstra's Algorithm --- p.31
Chapter 2.7.3 --- Routing Models for the Multi-modal Network --- p.32
Chapter 2.8 --- Recent Researches on GIS Data Models for the Multi-modal Transportation System --- p.33
Chapter 2.9 --- Main Software Packages for GIS-T --- p.36
Chapter 2.10 --- Summary --- p.37
Chapter CHAPTER III --- MODELING THE MULTI-MODAL PUBLIC TRANSPORTATION SYSTEM
Chapter 3.1 --- Introduction --- p.40
Chapter 3.2 --- Elaborated Stages and Methods for GIS Modeling --- p.40
Chapter 3.3 --- Application Domain: The Multi-modal Public Transportation System --- p.43
Chapter 3.3.1 --- Definition of a Multi-modal Public Transportation System --- p.43
Chapter 3.3.2 --- Descriptions of the Multi-modal Public transportation System --- p.44
Chapter 3.3.3 --- Objective of the Modeling Work --- p.46
Chapter 3.4 --- A Layer-cake Based Application Domain Model for the Multi- modal Public Transportation System --- p.46
Chapter 3.5 --- A Conceptual Model for the Multi-modal Public Transportation System --- p.49
Chapter 3.6 --- Logical and Physical Implementation of the Data Model for the Multi-modal Public Transportation System --- p.54
Chapter 3.7 --- Criteria for Routing on the Multi-modal Public Transportation System --- p.57
Chapter 3.7.1 --- Least-time Routing --- p.58
Chapter 3.7.2 --- Least-fare Routing --- p.60
Chapter 3.7.3 --- Least-transfer Routing --- p.60
Chapter 3.8 --- Summary --- p.61
Chapter CHAPTER IV --- DATA PREPARATION FOR THE STUDY AREA
Chapter 4.1 --- Introduction --- p.53
Chapter 4.2 --- The Study Area: Hong Kong Island --- p.63
Chapter 4.2.1 --- General Information of the Transportation System on Hong Kong Island --- p.63
Chapter 4.2.2 --- Reasons for Choosing Hong Kong Island as the Study Area --- p.66
Chapter 4.2.3 --- Mass Transit Routes Selected for the Prototype --- p.67
Chapter 4.3 --- Data Source and Data Collection --- p.67
Chapter 4.4 --- Geographical Data Preparation --- p.71
Chapter 4.4.1 --- Data Conversion --- p.73
Chapter 4.4.2 --- Geographical Data Input --- p.79
Chapter 4.5 --- Attribute Data Input --- p.86
Chapter 4.6 --- Summary --- p.88
Chapter CHAPTER V --- IMPLEMENTATION OF THE PROTOTYPE
Chapter 5.1 --- Introduction --- p.89
Chapter 5.2 --- Construction of the Route Service Network --- p.89
Chapter 5.2.1 --- Generation of the Geographical Network --- p.90
Chapter 5.2.2 --- Setting Attribute Data for the Route Service Network --- p.95
Chapter 5.3 --- A GIS-T Prototype for the Study Area --- p.102
Chapter 5.4 --- General GIS Functions of the Prototype --- p.104
Chapter 5.4.1 --- Information Retrieve --- p.104
Chapter 5.4.2 --- Display --- p.105
Chapter 5.4.3 --- Data Query --- p.105
Chapter 5.5 --- Routing in the Prototype --- p.105
Chapter 5.5.1 --- Routing Procedure --- p.108
Chapter 5.5.2 --- Examples and Results --- p.110
Chapter 5.5.3 --- Comparison and Analysis --- p.113
Chapter 5.6 --- Summary --- p.118
Chapter CHAPTER VI --- CONCLUSION
Chapter 6.1 --- Research Findings --- p.123
Chapter 6.2 --- Research Limitations --- p.126
Chapter 6.3 --- Direction of Further Studies --- p.128
BIBLIOGRAPHY --- p.130
Книги з теми "Multi-modal transportation system"
Modelling Intelligent Multi-Modal Transit Systems'. Taylor & Francis Group, 2016.
Знайти повний текст джерелаNuzzolo, Agostino, and William H. K. Lam. Modelling Intelligent Multi-Modal Transit Systems. Taylor & Francis Group, 2017.
Знайти повний текст джерелаNuzzolo, Agostino, and William H. K. Lam. Modelling Intelligent Multi-Modal Transit Systems. Taylor & Francis Group, 2017.
Знайти повний текст джерелаNuzzolo, Agostino, and William H. K. Lam. Modelling Intelligent Multi-Modal Transit Systems. Taylor & Francis Group, 2021.
Знайти повний текст джерелаNuzzolo, Agostino, and William H. K. Lam. Modelling Intelligent Multi-Modal Transit Systems. Taylor & Francis Group, 2017.
Знайти повний текст джерелаNuzzolo, Agostino, and William H. K. Lam. Modelling Intelligent Multi-Modal Transit Systems. Taylor & Francis Group, 2017.
Знайти повний текст джерелаЧастини книг з теми "Multi-modal transportation system"
Juozapavičius, Aušrius, and Stanislovas Buteliauskas. "Multi-modal Transportation System Using Multi-functional Road Interchanges." In Sustainable Solutions for Railways and Transportation Engineering, 133–42. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01911-2_12.
Повний текст джерелаLarioui, Jihane, and Abdeltif Elbyed. "A Multi-Agent Information System Architecture for Multi-Modal Transportation." In Embedded Systems and Artificial Intelligence, 795–803. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0947-6_75.
Повний текст джерелаFan, Haodong, and Y. I. Baldric. "Urban Intelligent Transportation Solution Based on Road Monitoring System." In Application of Intelligent Systems in Multi-modal Information Analytics, 209–16. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05484-6_26.
Повний текст джерелаYu, Tzu-Yang, Christopher Niezrecki, and Farhad Ansari. "Multi-modal Remote Sensing System for Transportation Infrastructure Inspection and Monitoring." In Advanced Research in Applied Artificial Intelligence, 95–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31087-4_11.
Повний текст джерелаAissat, Kamel, and Sacha Varone. "Carpooling as Complement to Multi-modal Transportation." In Enterprise Information Systems, 236–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-29133-8_12.
Повний текст джерелаZhao, Yue, Changfu Yuan, Jiabao Du, and Yi Wang. "ICT-Based Information Platform Architecture of Maritime Cargo Transportation Supply Chain." In Application of Intelligent Systems in Multi-modal Information Analytics, 9–15. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51431-0_2.
Повний текст джерелаYe, Qingpin, and Wenying Wu. "Optimization Model and Algorithm for Rail-Highway Combined Transportation of Dangerous Goods." In Application of Intelligent Systems in Multi-modal Information Analytics, 264–70. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05484-6_33.
Повний текст джерелаHansen, Rebecca Grüner, and Giovanni Pantuso. "Pricing Car-Sharing Services in Multi-Modal Transportation Systems: An Analysis of the Cases of Copenhagen and Milan." In Lecture Notes in Computer Science, 344–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00898-7_23.
Повний текст джерела"Multi-Modal Transportation." In Global Supply Chains and Multimodal Logistics, 110–41. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8298-4.ch005.
Повний текст джерелаPal, Kamalendu. "Software Agents Mediated Decision Simulation in Supply Chains." In Emerging Applications in Supply Chains for Sustainable Business Development, 40–56. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5424-0.ch003.
Повний текст джерелаТези доповідей конференцій з теми "Multi-modal transportation system"
Ferreira, Joao C., Porfirio Filipe, and Alberto Silva. "Multi-Modal Transportation Advisor system." In 2011 IEEE Forum on Integrated and Sustainable Transportation Systems (FISTS). IEEE, 2011. http://dx.doi.org/10.1109/fists.2011.5973636.
Повний текст джерелаLiu, Yihan, Guangming Xu, Linhuan Zhong, and Yao Xiao. "Multi-Modal Transport Logic Architecture Analysis Based on Autonomous Transportation System." In 22nd COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484265.043.
Повний текст джерелаWu, Ping, Yanyan Chen, Guanghou Zhang, and Wen Wu. "The Coordination Evaluation Research for Multi-Modal Public Transport System." In Tenth International Conference of Chinese Transportation Professionals (ICCTP). Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41127(382)268.
Повний текст джерелаDehzangi, Omid, Vaishali Sahu, Mojtaba Taherisadr, and Scott Galster. "Multi-modal system to detect on-the-road driver distraction." In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8569893.
Повний текст джерелаZhang, Xin, and Gang-len Chang. "The multi-modal evacuation system (MES) for Baltimore metropolitan region." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338592.
Повний текст джерелаHong, Shaozhi, Jinxin Li, and Huanxi Xu. "Development and Evaluation Index System for Sustainable Urban Multi-Modal Transit Development." In 17th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784480915.383.
Повний текст джерелаMenychtas, Andreas, Dimosthenis Kyriazis, George Kousiouris, and Theodora Varvarigou. "An IoT enabled point system for end-to-end multi-modal transportation optimization." In 2013 5th IEEE International Conference on Broadband Network & Multimedia Technology (IC-BNMT 2013). IEEE, 2013. http://dx.doi.org/10.1109/icbnmt.2013.6823942.
Повний текст джерелаZavattero, David, and Wei Wu. "Design of the Gary-Chicago-Milwaukee Gateway: A Multi-Modal Traveler Information System." In Second International Conference on Urban Public Transportation Systems. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40717(148)7.
Повний текст джерелаWang, Zhong, Meng Zhang, and Huiyuan Liu. "A Utility-Based Method for Urban Transportation System Multi-Modal Level of Service Evaluation." In 14th COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413623.292.
Повний текст джерелаEckert, Johannes, David Lopez, Carlos Lima Azevedo, and Bilal Farooq. "A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility*." In 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS). IEEE, 2020. http://dx.doi.org/10.1109/fists46898.2020.9264892.
Повний текст джерелаЗвіти організацій з теми "Multi-modal transportation system"
Agrawal, Asha Weinstein, and Hilary Nixon. Investing in California’s Transportation Future: 2022 Public Opinion on Critical Needs. Mineta Transportation Institute, July 2023. http://dx.doi.org/10.31979/mti.2023.2158.
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