TY - GEN
T1 - Empirical Study on the Acceleration/Deceleration Constraints Under Commercial Adaptive Cruise Control
AU - Zhou, Hao
AU - Zhou, Anye
AU - Ding, Zijian
AU - Laval, Jorge
AU - Peeta, Srinivas
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper aims to identify the characteristics of acceleration/deceleration (accel/decel) constraints in com-mercial adaptive cruise control (ACC) and investigate their potential impact on traffic flow. We have collected empirical accel/decel data in Massachusetts and Georgia from various ACC-equipped vehicles including Tesla Model X/3, Civic, and Prius. Unlike constant values adopted in the literature so far, the observed maximum accel/decel rates across different ACC manufactures all suggest that the accel/decel constraints decrease linearly with vehicle speeds. Based on the data we also find: i) different ACC manufacturers seem to adopt different accel/decel constraints, ii) maximum accel rates do not vary significantly with the engine mode but differ in free-motion and car-following regimes iii) maximum decel rates show a strong correlation with minimum times to collision. We further demonstrate that accel/decel constraints in the ACC can contribute to speed overshootings/undershootings, causing capacity loss in the accelerating process and deteriorating congestion in the decelerating case. To reveal the underlying mechanisms, the paper develops an ODE model to analyti-cally approximate the speed overshootings/undershootings and correlate them with the accel/decel constraints as well as ACC control parameters. Besides speed over/undershootings, simulation results also show that accel/decel constraints in ACCs can undermine the string stability.
AB - This paper aims to identify the characteristics of acceleration/deceleration (accel/decel) constraints in com-mercial adaptive cruise control (ACC) and investigate their potential impact on traffic flow. We have collected empirical accel/decel data in Massachusetts and Georgia from various ACC-equipped vehicles including Tesla Model X/3, Civic, and Prius. Unlike constant values adopted in the literature so far, the observed maximum accel/decel rates across different ACC manufactures all suggest that the accel/decel constraints decrease linearly with vehicle speeds. Based on the data we also find: i) different ACC manufacturers seem to adopt different accel/decel constraints, ii) maximum accel rates do not vary significantly with the engine mode but differ in free-motion and car-following regimes iii) maximum decel rates show a strong correlation with minimum times to collision. We further demonstrate that accel/decel constraints in the ACC can contribute to speed overshootings/undershootings, causing capacity loss in the accelerating process and deteriorating congestion in the decelerating case. To reveal the underlying mechanisms, the paper develops an ODE model to analyti-cally approximate the speed overshootings/undershootings and correlate them with the accel/decel constraints as well as ACC control parameters. Besides speed over/undershootings, simulation results also show that accel/decel constraints in ACCs can undermine the string stability.
UR - http://www.scopus.com/inward/record.url?scp=85141872263&partnerID=8YFLogxK
U2 - 10.1109/ITSC55140.2022.9921922
DO - 10.1109/ITSC55140.2022.9921922
M3 - Conference contribution
AN - SCOPUS:85141872263
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 3069
EP - 3076
BT - 2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Y2 - 8 October 2022 through 12 October 2022
ER -
