Evaluation model for configuration schemes of dedicated connected andautonomous lanes at intersections with heterogeneous traffic flows(PDF)
长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2022年2期
- Page:
- 115-126
- Research Field:
- 交通工程
- Publishing date:
Info
- Title:
- Evaluation model for configuration schemes of dedicated connected andautonomous lanes at intersections with heterogeneous traffic flows
- Author(s):
- QIAN Guomin1; 2; 3; FAN Junsheng1; 4; ZHANG Lihui1; 4; WANG Dianhai1
- 1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, Zhejiang, China;2. Center for Balance Architecture, Zhejiang University, Hangzhou 310014, Zhejiang, China;3. ENJOYOR Technology Co., Ltd, Hangzhou 311422, Zhejiang, China; 4. Architecture Design &Research Institute of Zhejiang University Co., Ltd, Hangzhou 310014, Zhejiang, China
- Keywords:
- traffic engineering; connected and autonomous vehicle; mixed traffic flow; dedicated lane; intersection; lane channelization; signal timing; capacity
- PACS:
- -
- DOI:
- -
- Abstract:
- To evaluate the configuration schemes of dedicated connected and autonomous lanes at intersections with heterogeneous traffic flows, the conflicts among connected and autonomous vehicles (CAVs) and humandriven vehicles (HVs) at intersections with dedicated CAV lanes were analyzed. These conflicts were categorized into basic conflicts, left conflicts and right conflicts according to whether or not affected by the location of dedicated lanes. On this basis, a mixedinteger linear programming model was built, with an objective to maximize the intersection reserve capacity. The constraints mainly included those regarding lane channelization, flow distribution and signal timing settings. Under given dedicated lane configurations, the model could simultaneously optimize the channelization schemes for dedicated lanes and regular lanes, as well as the corresponding signal timing plan to eliminate the above three flow conflicts. A typical fourlane fourway intersection was taken as an example, five configuration schemes with different numbers and locations of dedicated lanes were selected for comparison. The impacts of CAV penetration rate, traffic demand level and turning ratios on the maximum capacity of intersection under the five configuration schemes were analyzed. The results show that the changes in both the numbers and locations of dedicated CAV lanes, and the resulted changes in the channelization scheme and signal timing scheme, will all influence the maximum capacity of intersection. When CAV penetration rate is small, the smaller number of dedicated lanes leads to larger maximum capacity of intersection. When CAV penetration rate is large, the larger number of dedicated lanes leads to greater maximum capacity of intersection. Traffic demand level affects the differences of the maximum capacities of intersection under the five configuration schemes, rather than their order. And the maximum capacities of intersection and their order under all the five configuration schemes vary with the traffic turning ratios at the intersection. 2 tabs, 8 figs, 30 refs.
Last Update: 2022-04-27