A comprehensive study of advanced information feedbacks in real-time 
intelligent traffic systems

Chen, B; Xie, Y; Tong, W; Dong, C; Shi, D; Wang, B

doi:10.1016/j.physa.2011.12.032

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A comprehensive study of advanced information feedbacks in real-time intelligent traffic systems

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https://www.sciencedirect.com/science/article/pii/S037843711100968X
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Chen, B., Xie, Y., Tong, W., Dong, C., Shi, D., & Wang, B. (2012). A comprehensive study of advanced information feedbacks in real-time intelligent traffic systems. Physica A: Statistical Mechanics and its Applications, 391(8), 2730-2739. doi:10.1016/j.physa.2011.12.032.

Cite as: https://hdl.handle.net/21.11116/0000-0006-993A-D

Abstract

In the intelligent transportation system, an effective feedback strategy is of crucial importance to the improvement of traffic condition and transport capability. Based on the seven previously introduced feedback strategies, a new one is introduced, called vacancy length feedback strategy (VLFS). The simulation results in the symmetrical two-route scenario with two exits suggest that VLFS is the optimal one among all the feedback strategies. It outperforms others in terms of the value, stability, average flux and balance of the vehicle number, and also exceeds others for the convenience of its application in the real traffic condition. The later simulation results in the asymmetrical two-route scenario with one exit also prove that VLFS is the best.