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Kernelized Support-Vector-Machine-Based Congestion-Game Model for Coordinated Delivery Service Selection Using Mobile Parcel Lockers and Delivery Robots
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A Federated Learning-Based Framework for Ride-sourcing Traffic Demand Prediction
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Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning
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An integrated vertiport placement model considering vehicle sizing and queuing: A London Case Study
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Location-routing Optimisation for Urban Logistics Using Mobile Parcel Locker Based on Hybrid Q-Learning Algorithm
Mobile parcel lockers (MPLs) have been recently proposed by logistics operators as a technology that could help reduce traffic …
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Risk-Aware Stochastic Vehicle Trajectory Prediction with Spatial-Temporal Interaction Modelling
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Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Reinforcement Learning
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Quantitative Risk Indices for Autonomous Vehicle Training Systems
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Identifying Critical Fleet Sizes Using a Novel Agent-Based Modelling Framework for Autonomous Ride-Sourcing
Ride-sourcing platforms enable an on-demand shared transport service by solving decision problems often related to customer matching, …
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