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Статті в журналах з теми "Public Transit Routing"
Delling, Daniel, Thomas Pajor, and Renato F. Werneck. "Round-Based Public Transit Routing." Transportation Science 49, no. 3 (August 2015): 591–604. http://dx.doi.org/10.1287/trsc.2014.0534.
Повний текст джерелаUchimura, Keiichi, Hiro Takahashi, and Takashi Saitoh. "Advanced Public Transit System Routing and Scheduling." IFAC Proceedings Volumes 30, no. 8 (June 1997): 753–58. http://dx.doi.org/10.1016/s1474-6670(17)43912-7.
Повний текст джерелаDelling, Daniel, Thomas Pajor, and Renato Werneck. "Round-Based Public Transit Routing (Extended Abstract)." Proceedings of the International Symposium on Combinatorial Search 4, no. 1 (August 20, 2021): 213. http://dx.doi.org/10.1609/socs.v4i1.18270.
Повний текст джерелаJeon, I., H. Nam, and C. Jun. "IMPROVED PUBLIC TRANSIT ROUTING ALGORITHM FOR FINDING THE SHORTEST K-PATH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W9 (October 30, 2018): 255–64. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w9-255-2018.
Повний текст джерелаRouhieh, Behzad, and Ciprian Alecsandru. "Adaptive route choice model for public transit systems: an application of Markov decision processes." Canadian Journal of Civil Engineering 39, no. 8 (August 2012): 915–24. http://dx.doi.org/10.1139/l2012-080.
Повний текст джерелаMrad, Mehdi, Olfa Chebbi, Mohamed Labidi, and Mohamed Ali Louly. "Synchronous Routing for Personal Rapid Transit Pods." Journal of Applied Mathematics 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/623849.
Повний текст джерелаRios, Miguel. "GeOpps-N: Opportunistic Routing for VANET in a Public Transit System." IEEE Latin America Transactions 14, no. 4 (April 2016): 1630–37. http://dx.doi.org/10.1109/tla.2016.7483493.
Повний текст джерелаChoudhury, Shushman, Kiril Solovey, Mykel J. Kochenderfer, and Marco Pavone. "Efficient Large-Scale Multi-Drone Delivery using Transit Networks." Journal of Artificial Intelligence Research 70 (February 17, 2021): 757–88. http://dx.doi.org/10.1613/jair.1.12450.
Повний текст джерелаZhang, Cai Xia, Liang Liang Zhuang, Xiang Dong Wang, and Hai Wu Rong. "Research on Optimal Routing Algorithm for Public Transit Transfer Based on the Adjacency Matrix." Applied Mechanics and Materials 40-41 (November 2010): 341–46. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.341.
Повний текст джерелаNadeem, Imran, Sheik Uduman, and Aijaz Dar. "An integrated bus - based routing and dispatching approach for flood evacuation." Yugoslav Journal of Operations Research 30, no. 4 (2020): 443–60. http://dx.doi.org/10.2298/yjor190415028n.
Повний текст джерелаДисертації з теми "Public Transit Routing"
Moyo, Oliveros Manuel [Verfasser], Kai [Akademischer Betreuer] Nagel, and Thomas [Akademischer Betreuer] Richter. "Calibration of public transit routing for multi-agent simulation / Manuel Moyo Oliveros. Gutachter: Thomas Richter. Betreuer: Kai Nagel." Berlin : Technische Universität Berlin, 2014. http://d-nb.info/1066161852/34.
Повний текст джерелаVieira, Alexandre Barra. "Roteirização de ônibus urbano: escolha de um método para as grandes cidades brasileiras." Universidade de São Paulo, 1999. http://www.teses.usp.br/teses/disponiveis/18/18137/tde-30102003-194827/.
Повний текст джерелаBus transit is the main urban public transportation mode available in large-size Brazilian cities. Brazilian transit networks have held important structural modifications lately, seeking their improvement. This dissertation describes a masters research that had as the main objective the study of rational bus transit routing methods. The goal is to choose the best of these methods for application in large-size Brazilian cities. The literature review focused on methods which are addressed to this objective, and that could be used with or without changes for this purpose. A total of 11 (eleven) transit agencies answered a national survey made to identify local differences in the planning techniques used in the largest Brazilian capitals. Procedures adopted in Brazil were compared with the ones applied in the United States and in Canada and one method was then chosen, taken into account evaluation criteria found in the literature. The main objective of this research was reached: the method selected can be applied with some minor modifications concerning mainly the data collection procedure. This research shall contribute for the popularization of mathematical models as routing techniques that could help planners: (a) to design a new bus route and/or to redesign an existing one (b) to completely redesign complex transit systems.
Beduhn, Tyler James. "Reliable routing in schedule-based transit networks." Thesis, 2014. http://hdl.handle.net/2152/28096.
Повний текст джерелаtext
"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
"Drinking and Driving and Public Transportation: A Test of the Routine Activity Framework." Master's thesis, 2014. http://hdl.handle.net/2286/R.I.25060.
Повний текст джерелаDissertation/Thesis
M.S. Criminology and Criminal Justice 2014
Частини книг з теми "Public Transit Routing"
Delling, Daniel, Thomas Pajor, and Renato F. Werneck. "Round-Based Public Transit Routing." In 2012 Proceedings of the Fourteenth Workshop on Algorithm Engineering and Experiments (ALENEX), 130–40. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2012. http://dx.doi.org/10.1137/1.9781611972924.13.
Повний текст джерелаWitt, Sascha. "Trip-Based Public Transit Routing." In Algorithms - ESA 2015, 1025–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48350-3_85.
Повний текст джерелаHandte, Marcus, Lisa Kraus, Matteo Zella, Pedro José Marrón, and Heike Proff. "Integrated Bicycle and Public Transit Routing for InnaMoRuhr." In Towards the New Normal in Mobility, 529–45. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-39438-7_31.
Повний текст джерелаPhan, Duc-Minh, and Laurent Viennot. "Fast Public Transit Routing with Unrestricted Walking Through Hub Labeling." In Lecture Notes in Computer Science, 237–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34029-2_16.
Повний текст джерелаDelling, Daniel, Julian Dibbelt, and Thomas Pajor. "Fast and Exact Public Transit Routing with Restricted Pareto Sets." In 2019 Proceedings of the Twenty-First Workshop on Algorithm Engineering and Experiments (ALENEX), 54–65. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2019. http://dx.doi.org/10.1137/1.9781611975499.5.
Повний текст джерелаBalagapo, Joshua, Jerome Sabidong, and Jaime Caro. "Transit Journaling and Traffic Sensitive Routing for a Mixed Mode Public Transportation System." In Intelligent Computing Systems, 227–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49179-9_11.
Повний текст джерелаBhardwaj, Akashdeep. "Review of Solutions for Securing End-User Data Over Cloud Applications." In New Age Cyber Threat Mitigation for Cloud Computing Networks, 70–83. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815136111123010008.
Повний текст джерелаCavalcante, Andre. "We’re Just Living Life." In Struggling for Ordinary. NYU Press, 2018. http://dx.doi.org/10.18574/nyu/9781479881307.003.0006.
Повний текст джерелаElsaadi, Riyad, and Mahmoud Shafik. "Intelligent Healthcare Platform Solution and Medication Management System for Elderly People with Long Term Health Conditions." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210041.
Повний текст джерелаТези доповідей конференцій з теми "Public Transit Routing"
Balagapo, Joshua, Jerome Sabidong, and Jaime Caro. "Data crowdsourcing and traffic sensitive routing for a mixed mode public transit system." In 2014 5th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE, 2014. http://dx.doi.org/10.1109/iisa.2014.6878754.
Повний текст джерелаSong, Rui, and Shiwei He. "A Genetic Algorithm Based Routing Method with GPS Technology for Public Transit Vehicles." In Second International Conference on Transportation and Traffic Studies (ICTTS ). Reston, VA: American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40503(277)127.
Повний текст джерелаBian, Zheyong, and Xiang Liu. "A Detour-Based Pricing Mechanism for First-Mile Ridesharing in Connection With Rail Public Transit." In 2018 Joint Rail Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/jrc2018-6148.
Повний текст джерелаWare, Simon I., Antonis F. Lentzakis, and Rong Su. "A Simulation Modeling Framework with Autonomous Vehicle Region-based Routing and Public Transit Diversion Integration." In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917309.
Повний текст джерелаSivagnanam, Amutheezan, Salah Uddin Kadir, Ayan Mukhopadhyay, Philip Pugliese, Abhishek Dubey, Samitha Samaranayake, and Aron Laszka. "Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/546.
Повний текст джерелаQian, Wei, Cong Fu, Yu Zhu, Deng Cai, and Xiaofei He. "Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/596.
Повний текст джерела