Microscopic traffic models (MTMs) are widely used for assessing the impacts of (connected)
autonomous vehicles ((C) AVs). These models utilize car‐following (CF) and lane‐changing …

Despite high expectations of driving automation improving road traffic, its practical
implications on traffic flow and emissions are not yet definite. This study systematically …

Connected and autonomous vehicles (CAVs) are developing rapidly nowadays. In the near
future, we may see human-driving vehicles (HVs) and CAVs running on the same road. The …

The advent of autonomous vehicles (AVs) is likely to introduce new mobility experiences for
travelers. In particular, AVs would allow travelers to get off at the destinations and then drive …

Purpose-This study aims to make full use of the advantages of connected and autonomous
vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without …

Evaluating the economic benefits of traffic optimization from connected and autonomous
vehicles (CAVs) and relevant traffic organization methods is significant, which will help to put …

During the proliferation process of Intelligent Connected Vehicles (ICVs), mixed traffic
consisting of Human-Driven Vehicles (HDVs) and ICVs is inevitable. Notably, varying trust …

In China, logistics platforms are an effective way to solve vehicle capacity utilization using
information sharing. However, most logistics platforms do not possess operational …

The aim of this paper is to synthesize and analyze existing evidence on autonomous vehicle
driving algorithms and smart mobility technologies in big data-driven transportation planning …

Vehicle automation technologies open new avenues for improving present transportation
networks. It is predicted that Autonomous vehicles (AVs) and Connected Vehicles (CVs) will …