The queue length estimation for congested signalized intersections based on shockwave theory
- DOI
- 10.2991/rsete.2013.133How to use a DOI?
- Keywords
- Queue length, LWR, VISSIM, Shockwave
- Abstract
The queue length at signalized intersection is critical to either signal performance measure in terms of vehicle delay and stops or signal optimization. The traditional deterministic queuing theory based on the hypothesis that the flow of the road is steady during the entire time which disagrees with the actual situation. In this paper, instead of instead of using the deterministic queuing theory we solve the problem by modeling the queue dynamics in the signalized intersection with the Lighthill-Whitham-Richards(LWR) shockwave theory. We use the detector to identify traffic state changes by analysis the data in the immediate past cycle collected by the detector settled in the road. When the queue length is longer than the detector we can still distinguish the queue discharge flow from upstream arrival traffic. Therefore our approach can estimate queue length of the saturated Intersections. We used VISSIM to comparing our model with the SIGNAL94 model and evaluated by comparing the estimate maximum queue length with the queue length outputted by VISSIM. The results demonstrate that the proposed model can estimate long queues with satisfactory accuracy.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Li Yu AU - Zhao Dan-pu AU - Tai Xian-qing AU - Liu Zhi-li PY - 2013/08 DA - 2013/08 TI - The queue length estimation for congested signalized intersections based on shockwave theory BT - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013) PB - Atlantis Press SP - 548 EP - 551 SN - 1951-6851 UR - https://doi.org/10.2991/rsete.2013.133 DO - 10.2991/rsete.2013.133 ID - Yu2013/08 ER -