Research Article

Evaluating the Performance of Connected and Automated Vehicles in Fixed Signal-Controlled Conventional Intersections and Superstreets with Platooning-Based Trajectory Planning

Table 1

Recent studies on the CAVs categorized by transportation environments.

Transportation environmentsAuthorsYearCAV features

FreewayGuo et al. [3]2020CACC, platoons, cooperative merging
Adebisi et al. [18]2020CACC models
Liu and Fan [1]2020CAVs with revised intelligent driver model
Chityala et al. [19]2020CAVs with shorter headways
Hu and Sun [20]2019Cooperative lane changing control, cooperative merging control

Conventional intersectionHan et al. [7]2020Platooning-based trajectory planning with optimal control framework
Pourmehrab et al. [21]2020CAVs with an intelligent intersection control algorithm (IICA) and hybrid autonomous intersection management (H-AIM)
Guo et al. [22]2019Joint optimization of vehicle trajectory and intersection controller with combined dynamic programming and shooting heuristic approach
Li and Zhou [23]2017Signal timing optimization with the brand and bound algorithm considering mixed traditional vehicles
Zhou et al. [24]2017Parsimonious shooting heuristics algorithm to construct vehicle trajectories on a signalized highway segment
Jiang et al. [6]2017Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment
Dresner and Stone [25]2008Reservations based algorithm in the lightless intersection

RoundaboutMohebifard and Hajbabaie [4]2021aOptimization on trajectory and merging sequence; customized solution technique that transforms the two-dimensional optimization problem into a combination of easier one- and two-dimensional subproblems
Mohebifard and Hajbabaie [5]2021bTrajectory control in a roundabout with a mixed fleet of automated and human-driven vehicles
Martin-Gasulla and Elefteriadou [26]2021Roundabout management algorithm for trajectory planning of CAVs
Chalaki et al. [27]2020Trajectory planning control framework for roundabout