Short-term traffic prediction provides tools for improved road management by allowing the reduction of delays, incidents and other unexpected events. Different real-time approaches …
The introduction of autonomous (self-driving) and shared autonomous vehicles (AVs and SAVs) will affect travel destinations and distances, mode choice, and congestion. From a …
J Auld, M Hope, H Ley, V Sokolov, B Xu… - … Research Part C …, 2016 - Elsevier
This paper discusses the development of an agent-based modeling software development kit, and the implementation and validation of a model using it that integrates dynamic …
J Lu, XS Zhou - Transportation Research Part C: Emerging …, 2023 - Elsevier
This study presents a novel framework and open-source tools for simulating and managing connected and automated mobility (CAM) systems, taking into account their hierarchical …
Dynamic Traffic Assignment: A Primer is designed to help explain the basic concepts and definitions of dynamic traffic assignment (DTA) models and addresses the application …
AR Pinjari, CR Bhat - A handbook of transport Economics, 2011 - elgaronline.com
The primary focus of transportation planning, until the past three decades or so, was to meet long-term mobility needs by providing adequate transportation infrastructure supply. In such …
S Shafiei, Z Gu, M Saberi - Simulation Modelling Practice and Theory, 2018 - Elsevier
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 …
Y Lu, M Adnan, K Basak, FC Pereira… - 94th Annual Meeting …, 2015 - researchgate.net
Abstract 1 Agent based models have gained wide acceptability in transport planning, however, the 2 modelling frameworks have been facing a practical dilemma: demand and …
The deteriorating state of highway bridges is traditionally ignored in estimating the seismic reliability of transportation networks. In this study, the present day seismic reliability of …