Real-Time Estimation of Origin？Destination Matrices Using a Deep Neural Network for Digital Twins

Resilience-Based Approach to the Measurement of Headway Inconsistency

Multi-objective optimization of demand responsive transit operations based on dynamic passenger requests using maximum time delay rate

Effects of heterogeneity in driving manoeuvres on calibrating car-following models at a roundabout

Multimodal Deep Learning for Estimating Lane-Level Urban Traffic by Fusing Closed-Circuit Television and Dedicated Short-Range Communication Data

Navigating the non-compliance effects on system optimal route guidance using reinforcement learning

Data-Driven Approach for Measuring and Managing Physical Distancing in Subways during Pandemic Conditions

Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

Developing Lane-Changing Strategy of Autonomous Vehicles Based on Depp Reinforcement Learning Using Long-range Information for Mitigating Traffic Congesion

A Recursive Logit Model with Non-Link-Additive Attributes in a Multimodal Network