Simulation, optimization, and machine learning in sustainable transportation systems: models and applications

R de la Torre, CG Corlu, J Faulin, BS Onggo, AA Juan - Sustainability, 2021 - mdpi.com
The need for effective freight and human transportation systems has consistently increased
during the last decades, mainly due to factors such as globalization, e-commerce activities …

Refueling station location problem with traffic deviation considering route choice and demand uncertainty

M Miralinaghi, Y Lou, BB Keskin, A Zarrinmehr… - International Journal of …, 2017 - Elsevier
Construction of refueling stations in a traffic network is a major step toward the promotion of
hydrogen fuel vehicles in the metropolitan areas. This research provides a framework for the …

Optimizing the selection and scheduling of multi-class projects using a Stackelberg framework

M Miralinaghi, SE Seilabi, S Chen, YT Hsu… - European Journal of …, 2020 - Elsevier
One of the major causes of non-recurrent traffic congestion in urban areas is the
implementation of transport infrastructure projects on city roads. The seeming ubiquity of …

Design of a multiperiod tradable credit scheme under vehicular emissions caps and traveler heterogeneity in future credit price perception

M Miralinaghi, S Peeta - Journal of Infrastructure Systems, 2020 - ascelibrary.org
The transportation sector is a major source of traffic congestion and greenhouse gas (GHG)
emissions in urban areas. This study aims to design the system-optimal (SO) traffic …

Multiclass fuzzy user equilibrium with endogenous membership functions and risk‐taking behaviors

M Miralinaghi, Y Lou, YT Hsu… - Journal of Advanced …, 2016 - Wiley Online Library
Over the last decades, several approaches have been proposed in the literature to
incorporate users' perceptions of travel costs, their bounded rationality, and risk‐taking …

Investigating the applicability of ADAPTS activity-based model in air quality analysis

R Shabanpour, M Javanmardi, M Fasihozaman… - Travel Behaviour and …, 2018 - Elsevier
The growing recognition of negative impacts of vehicular emissions on global warming and
public health is one of the main factors that led transportation policymakers to devise …

Intersection-based routing with fuzzy multi-factor decision for VANETs

Z Cao, Z Fan, J Kim - Applied Sciences, 2021 - mdpi.com
Due to the limitations of the urban environment, the data transferred between vehicles can
only change direction at the intersections. Therefore, the routing decision at an intersection …

Modeling driving experience in smart traffic routing scenarios: application to traffic multi-map routing

A Paricio, MA Lopez-Carmona - IEEE Access, 2021 - ieeexplore.ieee.org
The effectiveness of user-oriented traffic routing applications to mitigate traffic congestion in
Intelligent Transportation Systems depends on their degree of adoption, which usually …

New weighted travel time function considering uncertainty and fuzziness based on fuzzy soft set and its application in user equilibrium assignment

H Li, S Xiong - Soft Computing, 2023 - Springer
Travel time estimation or prediction is of great significance to intelligent transportation
systems. Apparently, many factors have a significant impact on travel time in the traffic trip …

Fuzzy modelling of static system optimum traffic assignment problem having multi origin-destination pair

G Temelcan, HG Kocken, I Albayrak - Socio-Economic Planning Sciences, 2021 - Elsevier
Traffic congestion is an unpreventable problem to avoid in a transportation network and it
has negative effects on traffic accident, time wasting, traffic delay and safety problem …