How to incorporate machine learning and microsimulation tools in travel demand forecasting in multi-modal networks

M Owais - Expert Systems with Applications, 2024 - Elsevier
There is no doubt that the travel demand forecasting stage is the most crucial stage in any
transportation project, with the aim of improving existing facilities or establishing one from …

Bridging the user equilibrium and the system optimum in static traffic assignment: a review

V Morandi - 4OR, 2024 - Springer
Solving the road congestion problem is one of the most pressing issues in modern cities
since it causes time wasting, pollution, higher industrial costs and huge road maintenance …

[HTML][HTML] Optimizing vehicle dynamics co-simulation performance by introducing mesoscopic traffic simulation

B Varga, D Doba, T Tettamanti - Simulation modelling practice and theory, 2023 - Elsevier
Microscopic traffic simulation is often used in conjunction with vehicle dynamics simulation
to test cooperative or perception-based driver assistance functions. On the other hand …

Modeling Electric Vehicle Charging Load Dynamics: A Spatial-Temporal Approach Integrating Trip Chains and Dynamic User Equilibrium

S Tang, Y Mu, S **, X Dong, H Jia… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The spatial-temporal distribution (STD) of electric vehicle (EV) charging load is significantly
influenced by EV users' route choice and charging behaviors. In a congested traffic network …

Ant colony evacuation planner: An ant colony system with incremental flow assignment for multipath crowd evacuation

ZM Huang, WN Chen, Q Li, XN Luo… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Evacuation path optimization (EPO) is a crucial problem in crowd and disaster management.
With the consideration of dynamic evacuee velocity, the EPO problem becomes …

Simplified methodology for indirect loss–based prioritization in roadway bridge network risk assessment

A Abarca, R Monteiro, GJ O'Reilly - International Journal of Disaster Risk …, 2022 - Elsevier
Road networks are fundamental for the economic development of regions and play an
important role in the day-to-day life of its users. Within the multiple elements of road …

Towards scalable dynamic traffic assignment with streaming agents: A decentralized control approach using genetic programming

XC Liao, WN Chen, YH Jia… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic assignment is of great importance in real life from foot traffic assignment of a building
to vehicle traffic assignment of a city. With the rapid increase of the number of agents and the …

Quantify the road link performance and capacity using deep learning models

J Huo, X Wu, C Lyu, W Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The link performance and capacity are important quantitative features in road link
performance assessment, and they play vital roles in many important transportation tasks …

Introducing CRISTAL: A model of collaborative, informed, strategic trade agents with logistics

M Stinson, AK Mohammadian - Transportation Research Interdisciplinary …, 2022 - Elsevier
Freight transportation has major economic, energy, and sustainability impacts. As a result,
forecasting tools for analyzing policy scenarios are critical. However, existing freight …

Uncertain commuters assignment through genetic programming hyper-heuristic

XC Liao, YH Jia, XM Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic assignment problem (TAP) is of great significance for promoting the development of
smart city and society. It usually focuses on the deterministic or predictable traffic demand …