4 papers
Deep Learning Based Proactive Multi-Objective Eco-Routing Strategies for Connected and Automated Vehicles
Lama Alfaseeh, Bilal Farooq
This study exploits the advancements in information and communication technology (ICT), connected and automated vehicles (CAVs), and sensing, to develop proactive multi-objective e…
Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning
Lama Alfaseeh, Ran Tu, Bilal Farooq +1
Mitigating the substantial undesirable impact of transportation systems on the environment is paramount. Thus, predicting Greenhouse Gas (GHG) emissions is one of the profound topi…
Multi-Level Taxonomy and Critical Review of Eco-Routing Methods
Lama Alfaseeh, Bilal Farooq
Routing decisions are initially based on minimizing travel time. Nevertheless, eco-routing considers the environmental aspect (e.g. emissions, fuel, and exposure) and was introduce…
Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic
Lama Alfaseeh, Shadi Djavadian, Bilal Farooq
The impact of distributed dynamic routing with different market penetration rates (MPRs) of connected autonomous vehicles (CAVs) and congestion levels has been investigated on urba…