[HTML][HTML] Environmental impacts of autonomous vehicles: A review of the scientific literature

Ó Silva, R Cordera, E González-González… - Science of The Total …, 2022 - Elsevier
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 …

A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models

J Li, E Rombaut, L Vanhaverbeke - Computers, Environment and Urban …, 2021 - Elsevier
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 …

Sustainability opportunities and ethical challenges of AI-enabled connected autonomous vehicles routing in urban areas

R Guo, M Vallati, Y Wang, H Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
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 …

Review on the impacts of cooperative automated driving on transportation and environment

Z Zhang, H Liu, M Lei, X Yan, M Wang, J Hu - Transportation Research Part …, 2023 - Elsevier
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: State of the art and future directions

S Sabet, B Farooq - IEEE Access, 2022 - ieeexplore.ieee.org
Green vehicle routing problem (GVRP) aims to consider greenhouse gas emissions
reduction, while routing the vehicles. It can be either through adopting Alternative Fuel …

Develo** and analyzing eco-driving strategies for on-road emission reduction in urban transport systems-A VR-enabled digital-twin approach

Z Xu, T Jiang, N Zheng - Chemosphere, 2022 - Elsevier
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 …

Greenhouse gas emission prediction on road network using deep sequence learning

L Alfaseeh, R Tu, B Farooq, M Hatzopoulou - Transportation Research Part …, 2020 - Elsevier
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-driving: A scientometric and bibliometric analysis

Z Chen, S **ong, Q Chen, Y Zhang, J Yu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The fuel efficiency of the transportation sector has become a key factor to reduce
greenhouse gas emissions and fuel consumption in response to the negative impacts of …

Lane-level navigation based eco-approach

J Hu, M Lei, H Wang, M Wang, C Ding… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] MobiWise: Eco-routing decision support leveraging the Internet of Things

A Aguiar, P Fernandes, AP Guerreiro, R Tomas… - Sustainable Cities and …, 2022 - Elsevier
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 …