Transit Demand and Routing after Autonomous Vehicle Availability
Autonomous vehicles (AVs) create the potential for improvements in traffic operations as well as new behaviors for travelers such as car sharing among trips through driverless repositioning. Most studies on AVs have focused on technology or traffic operations, and the impact of AVs on planning is currently unknown. Development of a planning model integrating AV improvements to traffic operations and the impact of new traveler behavior options will soon be of practical interest as AVs are currently test-driven on public roads. The altered traveler preferences may affect mode choice, leading to changes in transit demand and transit provider cost. An analysis of the model on metropolitan planning data will provide predictions on the impact of general AV ownership on network conditions. This project report combines five papers on this topic: (1) Effects of Autonomous Vehicle Behavior on Arterial and Freeway Networks; (2) A Multiclass Cell Transmission Model for Shared Human and Autonomous Vehicle Roads; (3) Intersection Auctions and Reservation-Based Control in Dynamic Traffic Assignment; (4) The Impact of Autonomous Vehicles on Traffic Management: The Case of Dynamic Lane Reversal; and (5) Bus Routing Problem for KIPP Charter Schools.
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
Data-Supported Transportation Operations and Planning Center
University of Texas at Austin
Austin, TX United States 78701Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Authors:
- Boyles, Stephen
- Levin, Michael W
- Patel, Rahul
- Duell, Melissa
- Waller, S Travis
- Publication Date: 2015-12
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Maps; References; Tables;
- Pagination: 86p
Subject/Index Terms
- TRT Terms: Arterial highways; Dynamic traffic assignment; Freeways; Highway traffic control; Intelligent vehicles; Intersections; Mode choice; Routing; School buses; Travel behavior; Travel demand
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01626706
- Record Type: Publication
- Report/Paper Numbers: D-STOP/2016/104
- Contract Numbers: DTRT13-G-UTC58
- Files: UTC, NTL, TRIS, ATRI, USDOT
- Created Date: Feb 27 2017 9:26AM