53 citations · 124 across the 15 of their papers we have counts for
15 papers
The Impact of Building-Induced Visibility Restrictions on Intersection Accidents
Hanlin Tian, Yuxiang Feng, Wei Zhou +4
Traffic accidents, especially at intersections, are a major road safety concern. Previous research has extensively studied intersection-related accidents, but the effect of buildin…
An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios
Leandro Parada, Hanlin Tian, Jose Escribano +1
Collaborative navigation becomes essential in situations of occluded scenarios in autonomous driving where independent driving policies are likely to lead to collisions. One promis…
Towards a Universal Evaluation Model for Careful and Competent Autonomous Driving
Kethan Reddy, Elias Nassif, Panagiotis Angeloudis +2
Virtual scenario-based testing methods to validate autonomous driving systems are predominantly centred around collision avoidance, and lack a comprehensive approach to evaluate op…
Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
Hanlin Tian, Kethan Reddy, Yuxiang Feng +3
This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle (AV) training and testing. CRITICAL stands out for its ability to generate diverse scenarios, f…
Probabilistic Planning for Maritime Search and Rescue
Luís Marques, Jose Javier Escribano Macias, Panagiotis Angeloudis
Maritime accidents cause thousands of disappearances every year, with migrant crossings being particularly dangerous and under-reported. Current coastal and NGO search and rescue s…
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation
Leandro Parada, Eduardo Candela, Luis Marques +1
Manoeuvring in the presence of emergency vehicles is still a major issue for vehicle autonomy systems. Most studies that address this topic are based on rule-based methods, which c…
Route Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach
Yubin Liu, Qiming Ye, Jose Escribano-Macias +3
Mobile parcel lockers have been recently proposed by logistics operators as a technology that could help reduce traffic congestion and operational costs in urban freight distributi…
Feasibility of Equity-driven Taxi Pricing Strategy based on Double Auction Mechanism in Bangkok Metropolitan Region, Thailand
He-in Cheong, Jonathan Sanz Carcelen, Manlika Sukitpaneenit +3
Passenger rejection by taxi drivers impacts the travel behaviour in many cities and suburban areas, often leaving those potential customers in non-popular zones stranded without ac…
A Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem
Elvin Ngu, Leandro Parada, Jose Javier Escribano Macias +1
Same-Day Delivery services are becoming increasingly popular in recent years. These have been usually modelled by previous studies as a certain class of Dynamic Vehicle Routing Pro…
Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real
Eduardo Candela, Leandro Parada, Luis Marques +3
Autonomous Driving requires high levels of coordination and collaboration between agents. Achieving effective coordination in multi-agent systems is a difficult task that remains l…
A Reinforcement Learning-based Adaptive Control Model for Future Street Planning, An Algorithm and A Case Study
Qiming Ye, Yuxiang Feng, Jing Han +2
With the emerging technologies in Intelligent Transportation System (ITS), the adaptive operation of road space is likely to be realised within decades. An intelligent street can l…
Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm
Yubin Liu, Qiming Ye, Yuxiang Feng +2
Mobile parcel lockers (MPLs) have been recently introduced by urban logistics operators as a means to reduce traffic congestion and operational cost. Their capability to relocate t…
Quantitative Risk Indices for Autonomous Vehicle Training Systems
Eduardo Candela, Yuxiang Feng, Panagiotis Angeloudis +1
The development of Autonomous Vehicles (AV) presents an opportunity to save and improve lives. However, achieving SAE Level 5 (full) autonomy will require overcoming many technical…
Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing
Renos Karamanis, He-in Cheong, Simon Hu +2
Ride-sourcing platforms enable an on-demand shared transport service by solving decision problems often related to customer matching, pricing and vehicle routing. These problems ha…
Vehicle Redistribution in Ride-Sourcing Markets using Convex Minimum Cost Flows
Renos Karamanis, Eleftherios Anastasiadis, Marc Stettler +1
Ride-sourcing platforms often face imbalances in the demand and supply of rides across areas in their operating road-networks. As such, dynamic pricing methods have been used to me…