Collaborative control of traffic signal and variable guiding lane for isolated intersection under connected and automated vehicle environment

Abstract

Existing signalized intersection control methods allocate intersection resources to each phase from the time dimension based on traffic conflict. Solving the traffic control issues caused by the unbalanced traffic demands at intersections is always a challenge. Recently developed connected and automated vehicle (CAV) technologies render it possible to collect detailed real-time traffic information from vehicles for the optimal control and management of time-space resources at signalized intersections. In this paper, we propose a mixed integer quadratic programming to jointly optimize signal timings and variable guide lane settings for a typical four-arm intersection in the CAV environment. From the time dimension, restrictions of the conventional concept of the signal cycle are overcome.Phase sequences, green start, and duration are freely assigned for each CAV platoon based on the movement-based signal timing. From the space dimension, lane resources can be reasonably allocated in consideration of the dynamic traffic demand distribution. In this study, a demand-response control is realized for the signalized intersection through time-space resources cooperated optimization. Furthermore, vehicle trajectory control is integrated into the collaborative control framework to reduce or eliminate wasted green time. At last, we propose the dynamic control process using the collaborative control framework. Numerical simulation results show that the collaborative control method outperforms over fixed-time and signal optimization control modes in terms of travel time with both under-saturated and over-saturated conditions.

Rolling‐horizon–based strategy of fully cooperative traffic under signalized intersections

“…According to the inspired studies above, cooperative control for CAVs is executable. Several recent studies further investigate utilizing all lanes from the intersection Ding et al, 2021;Khayatian et al, 2020;Luo et al, 2019;Sun et al, 2018;. For example, Sun et al (2018) propose an intersection operation scheme, called the maximum capacity intersection operation scheme with signal, to maximize the intersection capacity by utilizing all lanes from the road at any time.…”

“…According to the inspired studies above, cooperative control for CAVs is executable. Several recent studies further investigate utilizing all lanes from the intersection (Chen et al., 2021; Ding et al., 2021; Khayatian et al., 2020; Luo et al., 2019; Sun et al., 2018; Wang et al., 2021). For example, Sun et al.…”

Intersection control with connected and automated vehicles: a review

“…Liang et al (2020) proposed an equitable control framework with connected vehicles by constraining the maximum delay experienced by any individual vehicle. Ding et al (2021) adopted the MILP modeling approach to investigate the merits of dynamic lane usage in a CAV environment. This study sought to improve the intersection performance from the space domain.…”

A coordinated ramp metering framework based on heterogeneous causal inference

“…Active traffic management strategies play a crucial role in reducing congestion and improving safety (Cao et al., 2021; Ding et al., 2022). One effective technique for improving freeway traffic conditions is ramp metering, which limits traffic throughput in on‐ramps.…”