Objective: This article provides a review of empirical studies of automated vehicle takeovers
and driver modeling to identify influential factors and their impacts on takeover performance …

To describe car-following behaviors in complex situations better, increase roadway traffic
mobility and minimize cars' fuel consumptions, the linkage between headway changes with …

With the rapid increase of electric bicycles (E-bikes) in China, the heterogeneous bicycle
traffic flow comprising regular bicycles and E-bikes using shared cycleway creates issues in …

To explore and evaluate the impacts of relative velocity fluctuation on the dynamic
characteristics and fuel consumptions of traffic flow, we present an improved car-following …

In this paper, a new connected cruise control strategy considering multiple preceding cars'
velocity changes with memory is designed to improve roadway traffic mobility, enhance …

This paper proposes a two-dimensional car-following model to tackle traffic flow problems
where considering continuum lateral distances enables a simpler or more natural …

To explore and evaluate the effects of vehicular gap fluctuation on roadway traffic mobility,
fuel economy and exhaust emissions, we first analyzed the linkage between vehicular gap …

Heterogeneous traffic conditions prevail in developing countries. Vehicles maintain weak
lane discipline which increases lateral interactions of vehicles significantly. It is necessary to …

The purpose of this paper is to analyze the impacts of the green signal countdown device on
car-following behaviors at signalized intersections and to propose an improved car-following …

This letter develops an improved multi-value cellular automata model for heterogeneous
bicycle traffic flow taking the higher maximum speed of electric bicycles into consideration …