Potential Travel Time Reduction with Autonomous Vehicles for Different Types of Travellers

Krueger R, Rashidi TH, Rose JM. Preferences for shared autonomous vehicles. Transportation Research Part C: Emerging Technologies. 2016;69: 343-55. DOI: 10.1016/j.trc.2016.06.015

Luo L, Parady GT, Takami K, Harata N. Evaluating the Impact of Autonomous Vehicles on Accessibility using Agent-Based Simulation: A Case Study of Gunma Prefecture. Journal of JSCE. 2019;7(1): 100-11. DOI: 10.2208/journalofjsce.7.1_100

Al-Sahili K, Hamadneh J. Establishing parking generation rates/models of selected land uses for Palestinian cities. Transportation Research Part A: Policy Practice. 2016;91: 213-22. DOI: 10.1016/j.tra.2016.06.027

Pudāne B, Molin EJ, Arentze TA, Maknoon Y, Chorus CG. A Time-use Model for the Automated Vehicle-era. Transportation Research Part C: Emerging Technologies. 2018;93: 102-14. DOI: 10.1016/j.trc.2018.05.022

Levin MW, Boyles SD. Effects of autonomous vehicle ownership on trip, mode, and route choice. Transportation Research Record: Journal of the Transportation Research Board. 2015;2493: 29-38. DOI: 10.3141/2493-04

Das S, Sekar A, Chen R, Kim HC, Wallington TJ, Williams E. Impacts of Autonomous Vehicles on Consumers Time-Use Patterns. Challenges. 2017;8(2): 32. DOI: 10.3390/challe8020032

Liu T-L, Huang H-J, Yang H, Zhang X. Continuum modeling of park-and-ride services in a linear monocentric city with deterministic mode choice. Transportation Research Part B: Methodological. 2009;43(6): 692-707. DOI: 10.1016/j.trb.2009.01.001

Yap MD, Correia G, Van Arem B. Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips. Transportation Research Part A: Policy and Practice. 2016;94: 1-16. DOI: 10.1016/j.tra.2016.09.003

Steck F, Kolarova V, Bahamonde-Birke F, Trommer S, Lenz B. How autonomous driving may affect the value of travel time savings for commuting. Transportation Research Record: Journal of the Transportation Research Board. 2018;2672(46): 10. DOI: 10.1177/0361198118757980

HCSO. Population Census in 2011. Hungary: Hungarian Central Statistical Office (HCSO); 2018.

Horni A, Nagel K, Axhausen KW. The multi-agent transport simulation MATSim. Ubiquity Press London; 2016. 620 p. DOI: 10.5334/baw

Castiglione J, Bradley M, Gliebe J. Activity-based travel demand models: A primer; 2015. DOI: 10.17226/22357

Fagnant DJ, Kockelman KM. Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas. Transportation. 2018;45(1): 143-58. DOI: 10.1007/s11116-016-9729-z

Anderson JM, Nidhi K, Stanley KD, Sorensen P, Samaras C, Oluwatola OA. Autonomous vehicle technology: A guide for policymakers: Rand Corporation; 2014. Available from: https://www.rand.org/pubs/research_reports/RR443-2.html

Fosgerau M, editor. Automation and the value of time in passenger transport. International Transport Forum Discussion Papers. OECD Publishing; 2019. DOI: 10.1787/6efb6342-en

Hao M, Yamamoto T, editors. Analysis on supply and demand of shared autonomous vehicles considering household vehicle ownership and shared use. 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan. IEEE; 2017. DOI: 10.1109/ITSC.2017.8317920

Bischoff J, Maciejewski M. Simulation of city-wide replacement of private cars with autonomous taxis in Berlin. Procedia Computer Science. 2016;83: 237-44. DOI: 10.1016/j.procs.2016.04.121

Fagnant DJ, Kockelman KM, Bansal P. Operations of shared autonomous vehicle fleet for Austin, Texas, market. Transportation Research Record: Journal of the Transportation Research Board. 2015;2536: 98-106. DOI: 10.3141/2536-12

Fagnant DJ, Kockelman K. Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice. 2015;77: 167-81. DOI: 10.1016/j.tra.2015.04.003

Ortega J, Hamadneh J, Esztergár-Kiss D, Tóth J. Simulation of the Daily Activity Plans of Travellers Using the Park-and-Ride System and Autonomous Vehicles: Work and Shopping Trip Purposes. Applied Sciences. 2020;10(8): 2912. DOI: 10.3390/app10082912

Koryagin M. Urban planning: A game theory application for the travel demand management. Periodica Polytechnica Transportation Engineering. 2018;46(4): 171-8. DOI: 10.3311/PPtr.9410

Litman T. Transportation Cost and Benefit Analysis. Victoria Transport Policy Institute; 2009. Available from: https://www.vtpi.org/tca/tca01.pdf

Bozorg SL, Ali SM. Potential Implication of Automated Vehicle Technologies on Travel Behavior and System Modeling 2016. Available from: https://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=3999&context=etd.

Nicolai TW. Integrating an urban simulation model with a travel model. Berlin Institute of Technology (TU Berlin); 2013. Available from: http://webarchiv.ethz.ch/sustaincity/publications/WP_6.4_Warm_Hot_Start.pdf

Tirachini A, Hensher DA, Rose JM. Multimodal pricing and optimal design of urban public transport: The

interplay between traffic congestion and bus crowding. Transportation Research Part B: Methodological. 2014;61: 33-54. DOI: 10.1016/j.trb.2014.01.003

Charypar D, Nagel K. Generating complete all-day activity plans with genetic algorithms. Transportation. 2005;32(4): 369-97. DOI: 10.1007/s11116-004-8287-y

Man K-F, Tang K-S, Kwong S. Genetic algorithms: Concepts and applications [in engineering design]. IEEE transactions on Industrial Electronics. 1996;43(5): 519-34. DOI: 10.1109/41.538609

Ghanea-Hercock R. Applied evolutionary algorithms in Java. Springer Science & Business Media; 2013. DOI: 10.1007/978-0-387-21615-7

Yang X-S. Nature-inspired optimization algorithms. Elsevier; 2014. DOI: 10.1016/C2013-0-01368-0

Arnott R, De Palma A, Lindsey R. A structural model of peak-period congestion: A traffic bottleneck with elastic demand. The American Economic Review. 1993;83: 161-79. Available from: https://www.jstor.org/stable/2117502

Java OpenStreetMap. Trac Open Source Project; 2018. Available from: https://josm.openstreetmap.de/wiki/Download#Java

TransitFeeds. BKK GTFS; 2018. Available from: https://transitfeeds.com/p/bkk/42 [cited 8 November 2018].

Poletti F, Bösch P, Ciari F, Axhausen K. Public transit route mapping for large-scale multimodal networks. ISPRS International Journal of Geo-Information. 2017;6(9): 268. DOI: 10.3390/ijgi6090268

Bösch PM, Ciari F. Macrosim-a macroscopic MobSim for MATSim. Procedia Computer Science. 2017;109: 861-8. DOI: 10.1016/j.procs.2017.05.406

MATSim Community. Mutli-Agent Transport Simulation MATSim Community 2018. Available from: http://ci.matsim.org:8080/job/MATSim_contrib_M2/ws/contribs/av/target/site/apidocs/index.html

Hamadneh J, Esztergár-Kiss D, editors. Impacts of Shared Autonomous Vehicles on the Travellers’ Mobility. 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Poland. IEEE; 2019. DOI: 10.1109/MTITS.2019.8883392

GmbH B. Taxi fares are based on the current taxi tariffs of Budapest 2019. Available from: https://www.bettertaxi.com/taxi-fare-calculator/budapest/

Simoni MD, Kockelman KM, Gurumurthy KM, Bischoff J. Congestion Pricing in a World of Self-driving vehicles: An Analysis of Different Strategies in Alternative Future Scenarios. Transportation Research Part C: Emerging Technologies. 2018;98: 167-85. DOI: 10.1016/j.trc.2018.11.002

Boesch PM, Ciari F, Axhausen KW. Autonomous vehicle fleet sizes required to serve different levels of demand. Transportation Research Record: Journal of the Transportation Research Board. 2016. p. 111-9. DOI: 10.3141/2542-13

Maciejewski M, Nagel K, editors. Towards multi-agent simulation of the dynamic vehicle routing problem in matsim. International Conference on Parallel Processing and Applied Mathematics. Springer; 2011. DOI: 10.1007/978-3-642-31500-8_57

Maciejewski M, Horni A, Nagel K, Axhausen K. Dynamic Transport Services. The Multi-Agent Transport Simulation MATSim;10.5334/baw.23. London: Ubiquity; 2016. p. 145-52. DOI: 10.5334/baw.23

Bischoff J, Führer K, Maciejewski M. Impact assessment of autonomous DRT systems. Transportation Research Procedia. 2018:1-8.

Herbawi WM, Weber M, editors. A genetic and insertion heuristic algorithm for solving the dynamic ridematching problem with time windows. Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation. ACM: 2012. DOI: 10.1145/2330163.2330219

Childress S, Nichols B, Charlton B, Coe S. Using an activity-based model to explore the potential impacts of automated vehicles. Transportation Research Record. 2015;2493(1): 99-106. DOI: 10.3141/2493-11

Greenblatt JB, Shaheen S. Automated vehicles, on-demand mobility, and environmental impacts. Current Sustainable/Renewable Energy Reports. 2015;2(3): 74-81. DOI: 10.1007/s40518-015-0038-5

Brown A, Gonder J, Repac B. An analysis of possible energy impacts of automated vehicles. Road vehicle automation. Springer; 2014. p. 137-53. DOI: 10.1007/978-3-319-05990-7_13

Calvert S, Schakel W, Van Lint J. Will automated vehicles negatively impact traffic flow? Journal of Advanced Transportation. 2017; Article ID 3082781. DOI: 10.1155/2017/3082781