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03/22/2023
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning
The deployment of Autonomous Vehicles (AVs) poses considerable challenge...
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10/31/2022
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation
Manoeuvring in the presence of emergency vehicles is still a major issue...
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09/09/2022
Location-Routing Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach
Mobile parcel lockers (MPLs) have been recently proposed by logistics op...
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03/22/2022
A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem
Same-Day Delivery services are becoming increasingly popular in recent y...
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03/22/2022
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real
Autonomous Driving requires high levels of coordination and collaboratio...
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12/10/2021
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study
With the emerging technologies in Intelligent Transportation System (ITS...
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10/29/2021
Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm
Mobile parcel lockers (MPLs) have been recently introduced by urban logi...
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04/27/2021
Quantitative Risk Indices for Autonomous Vehicle Training Systems
The development of Autonomous Vehicles (AV) presents an opportunity to s...
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06/14/2020
Vehicle Redistribution in Ride-Sourcing Markets using Convex Minimum Cost Flows
Ride-sourcing platforms often face imbalances in the demand and supply o...
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09/18/2019