Mobility Impacts of Early Forms of Automated Driving - A System Dynamic Approach
Modern cars are increasingly being equipped with automated driving functions. For governments it is important to have insights in the mobility impacts of automated vehicles. This is important as the introduction of automated vehicles affects current investment decisions about infrastructure projects and other policy measures like road pricing. Quantitative literature with respect to the impact of automated vehicles focuses mostly on capacity implications. Literature about large scale mobility impacts is mainly qualitative. This paper introduces a System Dynamics model to quantitatively explore the impacts of early forms of automated vehicles (level 1, 2 and 3) on mobility. The model is explorative and can be used to evaluate different scenarios in a short time. This model is applied in a case study for the Netherlands to assess the impact of automated vehicles on mode choice, time of day choice and travel times on characteristic relations in the Netherlands. A scenario for autonomous driving and a scenario for cooperative driving is considered. The simulations show that the introduction of early forms of automated vehicles causes an increase in the number of car trips with 1% up to 9%, depending on the scenario and the relation type. The level of congestion does not necessarily decrease and might even increase on some relations, especially in the autonomous scenario. Furthermore, in the cooperative scenario the increase in number of trips by car is larger, the average speeds are higher and there is less congestion compared to the autonomous scenario.
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Supplemental Notes:
- This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.
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Corporate Authors:
500 Fifth Street, NW
Washington, DC United States 20001 -
Authors:
- Puylaert, Steven
- Snelder, Maaike
- van Nes, Rob
- van Arem, Bart
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Conference:
- Transportation Research Board 96th Annual Meeting
- Location: Washington DC, United States
- Date: 2017-1-8 to 2017-1-12
- Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: 15p
- Monograph Title: TRB 96th Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Case studies; Impacts; Intelligent vehicles; Mobility; Mode choice; Periods of the day; Simulation; Traffic congestion; Travel time
- Geographic Terms: Netherlands
- Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01624262
- Record Type: Publication
- Report/Paper Numbers: 17-02913
- Files: TRIS, TRB, ATRI
- Created Date: Jan 27 2017 9:28AM