TY - GEN
T1 - Simulation framework for cooperative adaptive cruise control with empirical DSRC module
AU - Zhong, Zijia
AU - Lee, Joyoung
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/26
Y1 - 2018/12/26
N2 - Wireless communication plays a vital role in the promising performance of connected and automated vehicle (CAV) technology. This paper proposes a Vissim-based microscopic traffic simulation framework with an analytical dedicated short-range communication (DSRC) module for packet reception. Being derived from ns-2, a packet-level network simulator, the DSRC probability module takes into account the imperfect wireless communication that occurs in real-world deployment. Four managed lane deployment strategies are evaluated using the proposed framework. While the average packet reception rate is above 93% among all tested scenarios, the results reveal that the reliability of the vehicle-to-vehicle (V2V) communication can be influenced by the deployment strategies. Additionally, the proposed framework exhibits desirable scalability for traffic simulation and it is able to evaluate network-level deployment strategies in the near future for CAV technologies.
AB - Wireless communication plays a vital role in the promising performance of connected and automated vehicle (CAV) technology. This paper proposes a Vissim-based microscopic traffic simulation framework with an analytical dedicated short-range communication (DSRC) module for packet reception. Being derived from ns-2, a packet-level network simulator, the DSRC probability module takes into account the imperfect wireless communication that occurs in real-world deployment. Four managed lane deployment strategies are evaluated using the proposed framework. While the average packet reception rate is above 93% among all tested scenarios, the results reveal that the reliability of the vehicle-to-vehicle (V2V) communication can be influenced by the deployment strategies. Additionally, the proposed framework exhibits desirable scalability for traffic simulation and it is able to evaluate network-level deployment strategies in the near future for CAV technologies.
KW - Automated driving system fallback
KW - Cooperative adaptive cruise control
KW - Dedicated short-range communication
KW - Imperfect wireless communication
KW - Microscopic traffic simulation
UR - http://www.scopus.com/inward/record.url?scp=85061558450&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061558450&partnerID=8YFLogxK
U2 - 10.1109/IECON.2018.8592909
DO - 10.1109/IECON.2018.8592909
M3 - Conference contribution
AN - SCOPUS:85061558450
T3 - Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
SP - 6202
EP - 6207
BT - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Y2 - 20 October 2018 through 23 October 2018
ER -