Impacts of Autonomous Vehicles on Modal split Regarding Changes in Travel Time, Parking Cost and Operating Cost (case study: Qom)

Document Type : Original Article

Authors

1 Professor, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.

2 M.Sc., Grad., School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.

3 Ph.D., Grad., School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.

10.22034/tri.2021.118088

Abstract

According to the latest technological advances in Intelligent Transportation System (ITS), sooner or later, Autonomous Vehicles (AVs) will enter the market widely and affect many aspects of transportation planning. Items such as value of time, modal split, travel time, vehicle-kilometer, parking cost, operating cost, etc. Therefore, this research tries to determine the effects of AVs on modal split in Qom. At the first stage, synthesized population, Households and person information, land use, traffic analysis zone information and traffic skims gathered and entered to Activitysim software to forecast the demand by using activity-based models. Afterwards, in order to determine the effects of AVs on modal split, travel time, parking cost and operating cost, which are considered to alter dramatically by the presence of autonomous vehicles, gradually changed in 10 steps. Then, the outcomes for each step and each specific trip purpose were analyzed. The results show that parking cost has the major effect on private AVs and travel time plays the main role in case of Shared Autonomous Vehicles.

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-­J. Kamel, R. Vosooghi, J. Puchinger, F. Ksontini and G. Sirin, )2018(, "Exploring the Impact of User Preferences on Shared Autonomous Vehicle Modal Split: A Multi-Agent Simulation Approach". 21st annual meeting of the EURO Working Group on Transportation (EWGT2018), Germany.
-F. Steck, V. Kolarova and F. Bahamonde, )2018(, "How Autonomous Driving May Affect the Value of Travel Time Savings for Commuting", Transportation Research Record, Vol.2672 issue: 46, pp.11-20.
-L. Kröger, T. Kuhnimhof and S. Trommer, (2018), “Does context matter? A comparative study modelling autonomous vehicle impact on travel behaviour for Germany and the USA. Transportation Research Part A.
-L. Troung, C. De Gruyter, G. Currie and A. Delbose, (2017), “Estimating the Trip Generation Impacts of Autonomous Vehicles on car travel in Victoria”, Australia.
-P. Davidson and A. Spinoulas, (2015), “Autonomous vehicles: what could this mean for the future of transport?” Australian Institute of Traffic Planning and Management (AITPM) National Conference, Brisbane, Queensland.
-S. Childress, B. Nichols, B. Charlton and S. Coe, (2015), “Using an Activity-Based Model to Explore Possible Impacts of Automated Vehicles”, Transportation Research Board, Washington, D.C.
-T. Litman, (2018), “Autonomous Vehicle Implementation Predictions”, Victoria Transport Policy Institute, Australia.
-Transportation Benefit and Cost, http://bca.transportationeconomics.org/benefit.