Queue Spillover Management in a Connected Vehicle Environment

Chuanxiang Ren, Wenbo Zhang, Lingqiao Qin and Bo Sun
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Chuanxiang Ren: College of Transportation, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
Wenbo Zhang: College of Transportation, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
Lingqiao Qin: 1221 Engineering Hall, 1415 Engineering Drive, Department of Civil Environmental Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
Bo Sun: College of Transportation, Shandong University of Science and Technology, Qingdao 266590, Shandong, China

Future Internet, 2018, vol. 10, issue 8, 1-15

Abstract: To alleviate the queue spillovers at intersections of urban roads during rush hours, a solution to the cross-spill problem based on vehicle networking technologies is proposed. This involves using connected vehicle technology, to realize the interactive information on vehicle and intersection signal control. The maximum control distance between intersections is determined by how vehicles are controlled and would travel in that connected environment. A method of calculating overflow tendency towards intersection queuing is also proposed, based on the maximum phase control distance. By this method, the intersection overflow is identified, and then the signal phases are re-optimized according to the requirements of different phases. Finally, overflow prevention control was also performed in this study. The VISSIM simulation results show that the method can better prevent the overflow of queues at intersections.

Keywords: intelligent transportation; connected vehicles; queue spillover; maximum queue length; traffic simulation (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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