@article{ref1,
title="Traffic-aware lane change advance warning system for delay reduction at congested freeway diverge areas",
journal="Journal of transportation engineering, Part A: Systems",
year="2021",
author="Mehr, Goodarz and Eskandarian, Azim",
volume="147",
number="9",
pages="e04021052-e04021052",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="2473-2907",
doi="10.1061/JTEPBS.0000562",
url="http://dx.doi.org/10.1061/JTEPBS.0000562"
}