Deployment of a simulation-based dynamic traffic assignment (DTA) model requires
calibration of a large number of demand and supply input parameters. In this paper, we …

A traffic assignment model is a critical tool for developing future transport systems, road
policies, and evaluating future network upgrades. However, the development of the network …

In 2022, Ukraine is suffering an invasion which has resulted in acute impacts playing out
over time and geography. This paper examines the impact of the ongoing disruption on …

Due to the inappropriate path caused by traffic control, climatic conditions, and inconsistent
regional economic development, etc., the transportation efficiency of emergency relief …

This paper presents a new simulation-based approach to address the stochastic Dynamic
Traffic Assignment (DTA) problem, focusing on large congested networks and dynamic …

Dynamic traffic assignment (DTA) research has advanced greatly in terms of deployability,
computational feasibility, and representing complex temporal phenomena. There have also …

Connected and automated vehicle (CAV) technologies have recently drawn an increasing
attention from governments, vehicle manufacturers, and researchers. Connected vehicle …

This project aimd at developing a decision support system (DSS) for Integrated Active Traffic
Management (IATM) for both freeways/expressways and arterials/collectors. In order to …

This abridged paper provides an overview of an alternative way of approaching strategic
transport planning utilizing pervasive crowd sourced data within an automated methodology …

With the rapid advancement of technology and people's tendency toward a driving-free
lifestyle, autonomous vehicles (AVs) are expected to dominate the roads in the future …