標題: Using detection of vehicular presence to estimate shockwave speed and upstream traffics for a signalized intersection
作者: Cho, Hsun-Jung
Tseng, Ming-Te
Hwang, Ming-Chorng
運輸與物流管理系 註:原交通所+運管所
友訊交大聯合研發中心
Department of Transportation and Logistics Management
D Link NCTU Joint Res Ctr
關鍵字: Shockwaye speed;LWR traffic flow theory;Signal control;Vehicle detection
公開日期: 1-四月-2014
摘要: Based on the Lighthill-Whitham-Richards (LWR) traffic flow theory, this paper provides alternative methods to compute shockwave speed mainly by using detection data that reflects three states of vehicular presences: vehicles in moving, vehicles stopped, and void of vehicles. As the duration of a state is firmly identified within a cycle, the proposed methods compute shockwave speeds directly by means of Euclidian geometrics on time-space trajectory of shockwaves. This approach is also applicable to congested signal links with a long queue (but a residual queue) beyond detection zone. In addition, given signal timing and the shockwave speeds calculated by the methods, characteristics of arrival traffics, i.e. upstream flow rate and speed, can be predicted before the end of current cycle. It justifies that the methods are capable of whether to extend green phase before next cycle or not and will be a promising tool for real-time operations of signal control. Finally, the predicted shockwave speeds, upstream flow rate, and space mean speed by the proposed method are testified using simulated data from CORSIM. The mean absolute percentage errors of the estimated speeds of forward recovery shockwave and backward forming shockwave are 4.0% and 12.4% respectively. For the predicted flow rate and space mean speed of downstream arrival traffics, the mean absolute percentage errors are 18% and 4%, respectively. The results demonstrate the effectiveness of the presented approach. (C) 2014 Elsevier Inc. All rights reserved.
URI: http://dx.doi.org/10.1016/j.amc.2013.12.180
http://hdl.handle.net/11536/24247
ISSN: 0096-3003
DOI: 10.1016/j.amc.2013.12.180
期刊: APPLIED MATHEMATICS AND COMPUTATION
Volume: 232
Issue: 
起始頁: 1151
結束頁: 1165
顯示於類別:期刊論文


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  1. 000335201700109.pdf