Paper Info
Title
Lighthill-Whitham-Richards Model For Traffic Flow Mixed With Cooperative Adaptive Cruise Control Vehicles
Abstract
In the future, road traffic will incorporate a random mix of manual vehicles and cooperative adaptive cruise control (CACC) vehicles, where a CACC vehicle will degrade to an adaptive cruise control (ACC) vehicle when vehicle-to-vehicle communications are not available. This paper proposes a generalized framework of the Lighthill-Whitham-Richards (LWR) model for such mixed vehicular flow under different CACC penetration rates. In this approach, the kinematic wave speed propagating through the mixed platoon was theoretically proven to be the slope of mixed fundamental diagram. In addition, the random degradation from CACC to ACC was captured in mathematical expectation for traffic scenarios where the CACC only monitors one vehicle ahead. Three concrete car-followingmodels, the intelligent driver model (IDM) and CACC/ACC models validated by Partners for Advanced Transit and Highways (PATH) program, were selected as examples to investigate the propagation of small perturbations and shock waves. Numerical simulations were also performed based on the selected car-following models. Moreover, the derived mixed LWR model was applied to solve some traffic flow problems. It indicates that the proposed LWR model is able to describe the propagation properties of both small perturbations and shockwaves. Themixed LWRmodel can also be used to solve some practical problems, such as the queue caused by a traffic accident and the impact of a moving bottle-neck. More importantly, the proposed generalized framework admits other CACC/ACC/regular car-followingmodels, including those developed fromfurther experiments.
Year
DOI
Venue
2021
10.1287/trsc.2021.1057
TRANSPORTATION SCIENCE
Keywords
DocType
Volume
cooperative adaptive cruise control (CACC), mixed traffic flow, LWR model, simulations, car-following model, connected and automated vehicles
Journal
55
Issue
ISSN
Citations 
4
0041-1655
1
PageRank 
References 
Authors
0.35
0
3
Name
Order
Citations
PageRank
Yanyan Qin110.35
Hao Wang221.71
Daiheng Ni3161.03