Cited By
View all- Miller JPeng HBowman C(2017)Advanced tutorial on microscopic discrete-event traffic simulationProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242234(1-15)Online publication date: 3-Dec-2017
Evaluating advantage of sharing information among vehicles toward avoiding phantom traffic jam
Abstract
In this paper, we introduce an intelligent vehicle in traffic flow where a phantom traffic jam occurs for ensuring traffic-flow stability. The intelligent vehicle shares information on the speed and gap of the leading vehicle. Furthermore, the intelligent vehicle can foresee changes in the leading vehicles through shared information and can start accelerating faster than human-driven vehicles can. We propose an intelligent-vehicle model, which is a generalized Nagel--Schreckenberg model that allows sharing information with leading vehicles. The generalized Nagel--Schreckenberg model can arbitrarily set the number of leading vehicles to share information with, and we found that phantom traffic jams are resolved by an intelligent vehicle that shares information with two or more vehicles in front.
References
[1]
Barlovic, R., L. Santen, and A. Schadschneider. 1997. "Michael Schreckenberg, Metastable States in CA models for Traffic Flow". In In Proceedings of Traffic and Granular Flow, 5--8. Duisburg, Germany.
[2]
Chandler, R. E., R. Herman, and E. W. Montroll. 1958. "Traffic dynamics: studies in car following". Operations research 6 (2): 165--184.
[3]
Fritz, H., C. H. Bonnet, and D. Seeberger. 2004. "Electronic tow-bar based platoon control of heavy duty trucks using vehicle-vehicle communication: Practical results of the CHAUFFEUR2 project". In Proc. 11th World Congress on Intelligent Transport Systems, Number 2033.
[4]
Fukui, M., and Y. Ishibashi. 1996. "Traffic flow in 1D cellular automaton model including cars moving with high speed". Jounal of the Physical Society of Japan 65 (6): 1868--1870.
[5]
Gazis, D. C., R. Herman, and R. B. Potts. 1959. "Car-following theory of steady-state traffic flow". Operations research 7 (4): 499--505.
[6]
Gazis, D. C., R. Herman, and R. W. Rothery. 1961. "Nonlinear follow-the-leader models of traffic flow". Operations research 9 (4): 545--567.
[7]
J., L. M., and G. B. Whitham. 1955. "On kinematic waves. 11. A theory of traffic flow on long crowded roads". In Proceedings of the Royal Society of London A: Physical and Engineering Sciences, Volume 229, 317--345.
[8]
Jerath, K., and S. N. Brennan. 2012. "Analytical Prediction of Self-organized Traffic Jams as a Function of Increasing ACC Penetration". Intelligent Transportation Systems, IEEE Transactions 14 (4): 1782--1791.
[9]
Kesting, A., M. Treiber, M. Schönhof, and D. Helbing. 2008. "Adaptive cruise control design for active congestion avoidance". Transportation Research Part C 16 (6): 668--683.
[10]
Knorr, F., and M. Schreckenberg. 2012. "Influence of inter-vehicle communication on peak hour traffic flow". Physica A, Statistical Mechanics and its Applications 391 (6): 2225--2231.
[11]
Lu, X. Y., H. S. Tan, S. E. Shladover, and J. K. Hedrick. 2004. "Automated vehicle merging maneuver implementation for AHS". Vehicle System Dynamics 41 (2): 85--107.
[12]
Masubuchi, T., and S. Arai. 2009. "Analysis of Metastable Phases Generation by Utilizing Front Sight Information". Journal of the Institute of Electronic, Information and Communication Engineers (in Japanese) J92-D (11): 1935--1944.
[13]
Nagel, K., K. Nishinari, and D. Takahashi. 2000. "Multi-value cellular automaton models and metastable states in a congested phase". Journal of Physics A: Mathematical and general 33 (43): 7709--7720.
[14]
Nagel, K., and M. Schreckenberg. 1992. "A cellular automaton model for freeway traffic". Journal de physique I 1 (12): 2221--2229.
[15]
Onishi, R., and A. Yoshioka. 2012. "Simulation Evaluation of Group Communication for Cooperative Vehicle Platooning". Information Processing Society of Japan(in Japanese) 53 (1): 184--193.
[16]
Pipes, L. A. 1953. "An operational analysis of traffic dynamics". Journal of applied physics 24 (3): 273--281.
[17]
Rajewsky, N., L. Santen, A. Schadschneider, and S. M., 1998. "The asymmetric exclusion process: Comparison of update procedures". Journal of statistical physics 92 (1-2): 151--194.
[18]
Richards, P. I. 1956. "Shock waves on the highway". Operations research 4 (1): 42--51.
[19]
Shida, M., and Y. Nemoto. 2009. "Development of a Small-Distance Vehicle Platooning System". In 16th ITS World Congress and Exhibition on Intelligent Transport Systems and Services.
[20]
Tsugawa, S., S. Kato, K. Tokuda, T. Matsui, and H. Fujii. 2001. "A cooperative driving system with automated vehicles and inter-vehicle communications in Demo 2000". In In Proceedings of Intelligent Transportation Systems, 918--923.
[21]
van Arem, B., C. J. G. van Driel, and R. Visser. 2006. "The Impact of Cooperative Adaptive Cruise Control on Traffic-Flow Characteristics". Intelligent Transportation Systems, IEEE Transactions 7 (4): 429--436.
[22]
Wolfram, S. 1986. Theory and applications of cellular automata. Singapore: World Scientific.
[23]
XU, H., and S. Arai. 2013. "Transition to Metastable Phase by Learning Pace--Car". Journal of IEEJ Transactions on Electronics, Information and Systems (in Japanese) 133 (9): 1--8.
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December 2015
4051 pages
ISBN:9781467397414
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IEEE Press
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Published: 06 December 2015
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View all- Miller JPeng HBowman C(2017)Advanced tutorial on microscopic discrete-event traffic simulationProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242234(1-15)Online publication date: 3-Dec-2017
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