Capacity Optimization of the Intersection with Reverse-variable Lane
- DOI
- 10.2991/ammsa-18.2018.32How to use a DOI?
- Keywords
- traffic engineeringt; capacity; revese-variable lane; green time; traffic flow; lenrth between intersection
- Abstract
This article’s aim was to study the effects, which were come from the length of reverse-variable lane, left-turn traffic arrive rate, left-turn green time and the reverse traffic arrive rate of the upstream intersection in the short-line grouped intersections, about the capacity of intersection,by Cellular automata model . The simulated results indicate that there was a critical value of traffic arrive rate. When the traffic arrive rate less than critical value, the reverse-variable lane could not improve the left-turn capacity. When traffic arrive rate greater than critical value, there was a optimal length of reverse-variable lane which can make the left-turn capacity been maximum. When the left-turn green time increased, the optimal length of reverse-variable lane been less. When the traffic arrive rate and the length of reverse-variable lane are certain, there is a minimum green time, which make the past-traffic flow reach the capacity. When the length between intersections is certain and the reverse traffic arrive rate of upstream intersection reach to a certain value, the function of reverse-variable lane and the left-turn capacity of intersection are been effected.
- Copyright
- © 2018, 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 - Meng Cao PY - 2018/05 DA - 2018/05 TI - Capacity Optimization of the Intersection with Reverse-variable Lane BT - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018) PB - Atlantis Press SP - 154 EP - 158 SN - 1951-6851 UR - https://doi.org/10.2991/ammsa-18.2018.32 DO - 10.2991/ammsa-18.2018.32 ID - Cao2018/05 ER -