题名: |
Traffic-Aware Lane Change Advance Warning System for Delay Reduction at Congested Freeway Diverge Areas |
正文语种: |
eng |
作者: |
Mehr, Goodarz;Eskandarian, Azim |
作者单位: |
Virginia Tech Dept Mech Engn Autonomous Syst & Intelligent Machines Lab 435 Prices Fork Rd Blacksburg VA 24061 USA;Virginia Tech Mech Engn Dept 435 Prices Fork Rd Blacksburg VA 24061 USA|Virginia Tech Autonomous Syst & Intelligent Machines Lab 435 Prices Fork Rd Blacksburg VA 24061 USA |
关键词: |
Lane change;Advance warning system;Probability estimation;Traffic simulation;Congested freeway diverge area |
摘要: |
This paper presents an on-board advance warning system based on a probabilistic prediction model that advises vehicles approaching a freeway diverge area on when to change lanes to reach an off-ramp, with the goal of reducing delay caused by congestion at the diverge area. The prediction model estimates the probability of reaching a goal state on the road using one or multiple lane changes. This estimate is based on several traffic- and driver-related parameters such as the distribution of intervehicle headway distances and lane-changing maneuver duration. For an upcoming off-ramp, the advance warning system utilizes the prediction model to continuously calculate the probability of reaching that off-ramp and advises vehicles to change lanes when the probability drops below a certain threshold. To evaluate the impact of the proposed system on reducing traffic delay at congested freeway diverge areas, it was used in a simulation case study of a two-lane segment of the I-66 interstate highway to advise vehicles taking an off-ramp on when to change lanes. The results indicate that incorporating the proposed system can reduce the average delay by up to 83%-effectively wiping out the congestion in some cases-depending on traffic flow and the ratio of vehicles taking the off-ramp. |
出版年: |
2021 |
期刊名称: |
Journal of Transportation Engineering |
卷: |
147 |
期: |
9 |