Autonomous vehicles (AVs) may have significant environmental impacts although there are
still few studies focusing solely on these effects. A vast majority of articles address …

This paper provides a systematic review of studies that model future autonomous vehicles
(AVs) in urban mobility and logistics using an agent-based model (ABM). Eighty relevant …

This research conducts a comprehensive review on the social impacts of Cooperative
Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for …

Green vehicle routing problem (GVRP) aims to consider greenhouse gas emissions
reduction, while routing the vehicles. It can be either through adopting Alternative Fuel …

A vast number of pollutants are generated from on-road commuting vehicles, and there is an
increasing need to explore vehicle emission monitoring and mitigation strategies …

An eco-approach planner system is established to realize lane-level navigation based eco-
approach. It has the following features: i) with deeper consideration on mobility; ii) with …

The advent of Connected Autonomous Vehicles (CAVs) paves the way to a new era of urban
traffic control and management, driven by Artificial Intelligence (AI)-enabled strategies. This …

Mitigating the substantial undesirable impact of transportation systems on the environment is
paramount. Thus, predicting Greenhouse Gas (GHG) emissions is one of the profound …

Eco-routing distributes traffic in cities to improve mobility sustainability. The implementation
of eco-routing in real-life requires a diverse set of information, including different kinds of …

The future of privately owned, fully automated vehicles (AVs) is highly uncertain, especially
the impacts to greenhouse gas (GHG) emissions. We simulate the impacts of climate policy …