53 citations · 115 across the 6 of their papers we have counts for
6 papers
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…
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning
Qiming Ye, Yuxiang Feng, Jose Javier Escribano Macias +2
The deployment of Autonomous Vehicles (AVs) poses considerable challenges and unique opportunities for the design and management of future urban road infrastructure. In light of th…
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…
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…