@article{ref1,
title="Joint optimization of vehicle-group trajectory and signal timing: introducing the white phase for mixed-autonomy traffic stream",
journal="Transportation research part C: emerging technologies",
year="2020",
author="Tajalli, Mehrdad and Niroumand, Ramin and Hajbabaie, Ali and Hajibabai, Leila",
volume="116",
number="",
pages="e102659-e102659",
abstract="This study develops a novel mixed-integer non-linear program to control the trajectory of mixed connected-automated vehicles (CAVs) and connected human-driven vehicles (CHVs) through signalized intersections. The trajectory of CAVs is continuously optimized via a central methodology, while a new &quot;white&quot; phase is introduced to enforce CHVs to follow their immediate front vehicle. The movement of CHVs is incorporated in the optimization framework utilizing a customized linear car-following model. During the white phase, CAVs lead groups of CHVs through an intersection. The proposed formulation determines the optimal signal indication for each lane-group in each time step. We have developed a receding horizon control framework to solve the problem. The case study results indicate that the proposed methodology successfully controls the mixed CAV-CHV traffic under various CAV market penetration rates and different demand levels. The results reveal that a higher CAV market penetration rate induces more frequent white phase indication compared to green-red signals. The proposed program reduces the total delay by 19.6%-96.2% compared to a fully-actuated signal control optimized by a state-of-practice traffic signal timing optimization software.<p /> <p>Language: en</p>",
language="en",
issn="0968-090X",
doi="10.1016/j.trc.2020.102659",
url="http://dx.doi.org/10.1016/j.trc.2020.102659"
}