Highway traffic state estimation with mixed connected and conventional vehicles: Microscopic simulation-based testing |
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| Institution: | 1. Department of Civil and Environmental Engineering, Institute of Transportation Studies, University of California, Irvine, CA, 92697, USA;2. Department of Civil and Environmental Engineering, California Institute for Telecommunications and Information Technology,Institute of Transportation Studies Irvine, CA, 92697-3600, USA;1. University of Lyon, ENTPE, IFSTTAR, LICIT, UMR-T9401, 25 avenue Francois Mitterrand, 69675 Bron cedex, France;2. Department of Transport & Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628CN, Delft, The Netherlands;1. Electrical Engineering Department, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia;2. Department of Civil, Architectural and Environmental Engineering, University of Texas Austin, USA |
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| Abstract: | This paper presents a thorough microscopic simulation investigation of a recently proposed methodology for highway traffic estimation with mixed traffic, i.e., traffic comprising both connected and conventional vehicles, which employs only speed measurements stemming from connected vehicles and a limited number (sufficient to guarantee observability) of flow measurements from spot sensors. The estimation scheme is tested using the commercial traffic simulator Aimsun under various penetration rates of connected vehicles, employing a traffic scenario that features congested as well as free-flow conditions. The case of mixed traffic comprising conventional and connected vehicles equipped with adaptive cruise control, which feature a systematically different car-following behavior than regular vehicles, is also considered. In both cases, it is demonstrated that the estimation results are satisfactory, even for low penetration rates. |
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| Keywords: | Traffic estimation Connected vehicles Microscopic simulation |
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