To meet the demands of green logistics while considering the time-dependent effects
caused by traffic congestion, we establish a time-dependent green vehicle routing problem …

Heavy traffic jams are difficult to predict due to the complexity of traffic dynamics.
Understanding the network dynamics of traffic bottlenecks can help avoid critical large traffic …

In the emerging era of autonomous vehicles (AVs), an important question is how to integrate
AVs in a multi-modal framework. Recent studies on Transportation Management Centres …

Ride-hailing companies will face the emergence and gradual expansion of AVs-only zones
in urban areas where only automated vehicles (AVs) are allowed to circulate. When owning …

Autonomous vehicles have the potential to revolutionize intelligent transportation by
improving traffic safety, increasing energy efficiency, and reducing congestion. In this study …

汽车行业正在进行智能化与网联化的发展变革, 智能网联汽车的出现使交通管理者找到缓解交通
拥堵, 提高道路安全以及减少能源消耗的一种解决方案. 对此, 调研混合交通流模型 …

The interaction between mixed autonomy traffic and public transport vehicles competing for
limited road space is a less explored area of research. To evaluate the traffic dynamics in …

This paper proposed a comprehensive multilayered and time-dependent congestion control
strategy for the coexistence of connected autonomous vehicles (CAVs) and human-driven …

Strategizing sustainability and profitability in electric Mobility-as-a-Service (e-MaaS) ecosystems
with carbon incentives: A mu Page 1 Strategizing sustainability and profitability in electric …

Connected and automated vehicles (CAVs) are expected to change the way people travel in
cities. Before human-driven vehicles (HVs) are completely phased out, the urban traffic flow …