Citation

Liu H, Kan XD, Shladover SE, Lu XY, Ferlis RE. J. Intell. Transp. Syst. 2018; 22(3): 263-275.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/15472450.2018.1438275

PMID

unavailable

Abstract

Cooperative Adaptive Cruise Control (CACC) allows vehicles to exchange real-time operational information wirelessly, enabling vehicles to travel in strings with shorter than normal time gaps between adjacent vehicles and ultimately increasing the freeway capacity. This study is intended to investigate the impact of CACC vehicle string operation on the capacity of multilane freeway merge bottlenecks, commonly found at on-ramp merging areas on urban freeways. Simulation experiments were conducted using CACC car-following models derived from field test data, together with lane-changing models of CACC vehicles and manually driven vehicles, as well as a maximum CACC string length and inter-string time gap constraint. Simulation results reveal that the freeway capacity increases quadratically as the CACC market penetration increases, with a maximum value of 3080 veh/hr/lane at 100% market penetration. The disturbance from the on-ramp traffic causes the merge bottleneck and can reduce the freeway capacity by up to 13% but the bottleneck capacity still increases in a quadratic pattern as CACC market penetration becomes larger. The findings suggest that there is a need to implement advanced merging assistance systems with CACC at merge bottlenecks for achieving the capacity improvement comparable with the observations at homogeneous freeway segments.

Language: en

Keywords

Cooperative Adaptive Cruise Control (CACC); freeway capacity; microscopic traffic simulation; on-ramp merging bottleneck