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Keywords: traffic jam, vehicle following model, cellular automata.

Summary

This paper focuses on traffic jams near the merging point of roads. At the merging point, the vehicles on the main road have to reduce their velocity in order to avoid the slow merging vehicles from the branch road, which leads to traffic jams.

A driver accelerates or decelerates according to the information from the nearest vehicle ahead [1,2]. In this case, the vehicle is too sensitive for the nearest vehicle ahead to control the velocity adequately. To overcome this difficulty, we will discuss the velocity control according to the information from three vehicles ahead. The former and the latter are named the single- and multi-vehicle following models, respectively. In the numerical examples, three merging patterns are considered in order to compare the single- and multi-vehicle following models.

Cellular automata traffic simulation is performed in order to confirm the models [3]. The results reveal that, in the typical result, the maximum velocity reduction is about 40% in the single-vehicle following model and 30% in the multi-vehicle following model. Therefore, we can conclude that the control of vehicle behavior may be based on the multi-vehicle following model.

References

1: Y. Sugiyama, "Physics of Traffic Flow", Journal of Japan Society of Fluid Mechanics, 22(2), 95-108, 2003. (in Japanese)
2: S. Bexelius, "An extended model for car-following", Transportation Research, 2, 13-21, 1968. doi:10.1016/0041-1647(68)90004-X
3: T. Tamaki, S. Yasue, E. Kita, "City Traffic Simulation Using Cellular Automata with Stochastic Velocity Model", Proceedings of The 2004 International Conference on Parallel and Distributed Processing Techniques and Applications, 2004.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 92 PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: B.H.V. Topping and Y. Tsompanakis Paper 35 Cellular Automata Simulation of Traffic Jams at the Merging Point of Roads Y. Wakita¹, T. Iguchi¹, H. Shimizu¹, T. Tamaki² and E. Kita¹ ¹Graduate School of Information Science, Nagoya University, Japan ²Ube National College of Technology, Japan doi:10.4203/ccp.92.35 purchase the full-text of this paper Full Bibliographic Reference for this paper Y. Wakita, T. Iguchi, H. Shimizu, T. Tamaki, E. Kita, "Cellular Automata Simulation of Traffic Jams at the Merging Point of Roads", in B.H.V. Topping, Y. Tsompanakis, (Editors), "Proceedings of the First International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 35, 2009. doi:10.4203/ccp.92.35 Keywords: traffic jam, vehicle following model, cellular automata. Summary This paper focuses on traffic jams near the merging point of roads. At the merging point, the vehicles on the main road have to reduce their velocity in order to avoid the slow merging vehicles from the branch road, which leads to traffic jams. A driver accelerates or decelerates according to the information from the nearest vehicle ahead [1,2]. In this case, the vehicle is too sensitive for the nearest vehicle ahead to control the velocity adequately. To overcome this difficulty, we will discuss the velocity control according to the information from three vehicles ahead. The former and the latter are named the single- and multi-vehicle following models, respectively. In the numerical examples, three merging patterns are considered in order to compare the single- and multi-vehicle following models. Cellular automata traffic simulation is performed in order to confirm the models [3]. The results reveal that, in the typical result, the maximum velocity reduction is about 40% in the single-vehicle following model and 30% in the multi-vehicle following model. Therefore, we can conclude that the control of vehicle behavior may be based on the multi-vehicle following model. References 1 Y. Sugiyama, "Physics of Traffic Flow", Journal of Japan Society of Fluid Mechanics, 22(2), 95-108, 2003. (in Japanese) 2 S. Bexelius, "An extended model for car-following", Transportation Research, 2, 13-21, 1968. doi:10.1016/0041-1647(68)90004-X 3 T. Tamaki, S. Yasue, E. Kita, "City Traffic Simulation Using Cellular Automata with Stochastic Velocity Model", Proceedings of The 2004 International Conference on Parallel and Distributed Processing Techniques and Applications, 2004. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £78 +P&P)
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