TY - GEN
T1 - Performance Analysis of Optimally Coordinated Connected and Automated Vehicles in a Mixed Traffic Environment
AU - Valencia, Alejandra
AU - Ishtiaque Mahbub, A. M.
AU - Malikopoulos, Andreas A.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Trajectory planning of connected and automated vehicles (CAVs) poses significant challenges in a mixed traffic environment due to the presence of human-driven vehicles (HDVs). In this paper, we apply a framework that allows coordination of CAVs and HDVs traveling through a traffic corridor consisting of an on-ramp merging, a speed reduction zone, and a roundabout. We study the impact of different penetration rates of CAVs and traffic volumes on the efficiency of the corridor. We provide extensive simulation results and report on the benefits in terms of total travel time and fuel economy.
AB - Trajectory planning of connected and automated vehicles (CAVs) poses significant challenges in a mixed traffic environment due to the presence of human-driven vehicles (HDVs). In this paper, we apply a framework that allows coordination of CAVs and HDVs traveling through a traffic corridor consisting of an on-ramp merging, a speed reduction zone, and a roundabout. We study the impact of different penetration rates of CAVs and traffic volumes on the efficiency of the corridor. We provide extensive simulation results and report on the benefits in terms of total travel time and fuel economy.
UR - http://www.scopus.com/inward/record.url?scp=85136241578&partnerID=8YFLogxK
U2 - 10.1109/MED54222.2022.9837281
DO - 10.1109/MED54222.2022.9837281
M3 - Conference contribution
AN - SCOPUS:85136241578
T3 - 2022 30th Mediterranean Conference on Control and Automation, MED 2022
SP - 1053
EP - 1058
BT - 2022 30th Mediterranean Conference on Control and Automation, MED 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th Mediterranean Conference on Control and Automation, MED 2022
Y2 - 28 June 2022 through 1 July 2022
ER -