Design and evaluation of an automated highway system with optimized lane assignment |
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| Institution: | 1. Department of Automation, Tsinghua University, Beijing 100084, China;2. Bourns College of Engineering – Center for Environmental Research & Technology (CE-CERT), University of California, Riverside, 92507 CA, USA;1. Oak Ridge National Laboratory, Oak Ridge, TN 37830, United States;2. Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA 22904, United States;3. Federal Highway Administration, McLean, VA 22101, United States;4. Virginia Transportation Research Council, Charlottesville, VA 22903, United States;1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai, PR China;2. University of Michigan Transportation Research Institute (UMTRI), 2901 Baxter Rd, Ann Arbor, MI 48109, United States;3. Department of Civil and Environmental Engineering, University of Michigan, 2320 G.G. Brown, 2350 Hayward Street, Ann Arbor, MI, United States |
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| Abstract: | Highway automation entails the application of control, sensing and communication technologies to road vehicles, with the objective of improving highway performance. It has been envisioned that automation could increase highway capacity by a factor of three. The purpose of this paper is to develop a methodology for predicting highway capacity and comparing alternative automation concepts. It extends earlier research on optimal lane assignment on an automated highway to dynamic networks. A path-based linear program is formulated and solved through a column generation method. The algorithm has been applied to networks with as many as 20 on and off ramps, 80 segments, 4 lanes and 12 time periods. |
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