Citation

Chen D, Srivastava A, Ahn S, Li T. Transp. Res. C Emerg. Technol. 2020; 113: 293-313.

Copyright

(Copyright © 2020, Elsevier Publishing)

DOI

10.1016/j.trc.2019.03.017

PMID

unavailable

Abstract

This paper elucidates the impacts of vehicle heterogeneity on traffic dynamics and throughput of mixed traffic consisting of connected automated vehicles (CAVs) and regular vehicles (RVs). The main premise is that the heterogeneity in preferred acceleration rate, desired speed, and car-following (CF) behavior (e.g., reaction pattern and sensitivity to a traffic disturbance) will change traffic properties in ways that can undermine traffic flow throughput. This paper first decomposes the mechanism into two elements - one driven by acceleration and one by time-varying CF response to disturbances - and then investigates their compounded effect. This paper also provides unifying frameworks to analyze the behavior of RVs and CAVs to facilitate analytical investigations. The results reveal how heterogeneous acceleration and CF behavior may create persistent voids and diminish traffic throughput. Integrating all the elements, throughput reduction is quantified via numerical simulations.

Language: en

Keywords

Chained asymmetric behavior; Connected and autonomous vehicles; Heterogeneity; Mixed traffic; Traffic throughput; Transition dynamics