Coupled vehicle and information flows: Message transport on a dynamic vehicle network |
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| Institution: | 1. Institute for Transport & Economics, Dresden University of Technology, Andreas-Schubert-Str. 23, 01062 Dresden, Germany;2. Collegium Budapest – Institute for Advanced Study, Szentháromság u. 2, H-1014 Budapest, Hungary;1. Institute for Economics and Traffic, Dresden University of Technology, D-01062 Dresden, Germany;2. Department of Mathematics, Arizona State University, Tempe, AZ 85287-1804, USA;3. Complex Systems Group, Department of Physical Chemistry, Fritz Haber Institute of the Max Planck Society, 14195 Berlin, Germany;4. Department of Mechanical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands;1. School of Economics and Political Science, University of St. Gallen, Bodanstrasse 6, 9000 St. Gallen, Switzerland;2. C.A.S.E.–Center for Applied Statistics and Economics, Ladislaus von Bortkiewicz Chair of Statistics, School of Business and Economics, Humboldt-Universität zu Berlin, Spandauer Straße 1, 10178 Berlin, Germany;1. Charles University in Prague, Faculty of Mathematics and Physics, Department of Probability and Mathematical Statistics, Sokolovská 83, CZ-18675 Prague, Czech Republic;2. Humboldt University of Berlin, School of Business and Economics, Ladislaus von Bortkiewicz Chair of Statistics, C.A.S.E. –Center for Applied Statistics and Economics, Spandauer Strasse 1, D-10178 Berlin, Germany;1. Ladislaus von Bortkiewicz Chair of Statistics, C.A.S.E.–Center for Applied Statistics and Economics, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany;2. Chair of Econometrics and Statistics esp. Transportation, Institute of Economics and Transport, Faculty of Transportation, Dresden University of Technology, Helmholtzstrasse 10, 01069 Dresden, Germany;1. Department of Automation, Tsinghua University, Beijing, China;2. Department of Civil Engineering, The University of Hong Kong, Hong Kong, China;3. Department of Transportation Engineering, TOD-based Sustainable Urban Transportation, Center, Ajou University, Republic of Korea |
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| Abstract: | A freeway with vehicles transmitting traffic-related messages via short-range broadcasting is a technological example of coupled material and information flows in complex networks: information on traffic flows is propagated via a dynamically changing ad hoc network based on local interactions. As vehicle and information propagation occur on similar time scales, the network dynamics strongly influences message propagation, which is done by the movement of nodes (cars) and by hops between nearby nodes: two cars within the limited broadcast range establish a dynamic link. Using the cars of the other driving direction as relay stations, the weak connectivity within one driving direction when the density of equipped cars is small can be overcome. By analytical calculation and by microscopic simulation of freeway traffic with a given percentage of vehicles equipped for inter-vehicle communication, we investigate how the equipment level influences the efficiency and velocity of information propagation. By simulating the formation of a typical traffic jam, we show how the non-local information about bottlenecks and jam fronts can travel upstream and reach potential users. |
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