A systematic literature review of defect detection in railways using machine vision-based inspection methods
June 2025
Train rolling stock and track inspections are necessary for the safe operation of the train. For this reason, a regular inspection of defects is required for the train rolling stock. The conventional...
Real-time pothole detection using yolo models: an efficient and cost-effective solution for infrastructure monitoring
Available online 2 July 2026
Effective maintenance of roads is fundamental to transportation infrastructure with significant impact on safety and mobility. Notably, timely and precise pothole detection is essential for preventing...
Indian traffic sign detection and recognition using deep learning
September 2023
•Deep learning based model named Refined Mask R-CNN (RMR-CNN).•Customized Indian Traffic sign dataset with 6480 images.•Pre-processing methods included to increase the efficiency of the model.•Accuracy...
Understanding the effects of structural factors and traffic loading on flexible pavement performance
March 2023
Pavement damage increases rapidly with vehicle loads. The deterioration in pavements over time is caused by various factors but traffic loading plays a significant role in the consumption of pavement...
The economic burden of road traffic accidents and injuries: A small island perspective
March 2025
The existing evidence on the economic burden of road accidents on gross domestic product (GDP) focused mainly on developed countries. This paper addresses an important gap in the literature by investigating...
Stochastic multi-objective optimization for dynamic timetable and track allocation at high-speed railway hubs
June 2026
Train scheduling and track allocation are crucial for minimizing passenger flow conflicts, ensuring safety, and enhancing travel experience at railway hubs. This study presents a collaborative optimization...
High-thermal-conductivity steel slag asphalt pavements for road cooling
Available online 26 June 2026
High surface temperatures in asphalt pavements, primarily caused by solar radiation absorption, accelerate material degradation and increase urban heat load. Incorporating steel slag (SS), a high-thermal-conductivity...
Application of permeable pavements in highways for stormwater runoff management and pollution prevention: California research experiences
December 2019
In the future, permeable pavements including the full depth permeable pavement (FDPP) will be part of an integrated sustainable transportation program. When designed properly, FDPP can be used as an...
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
March 2024
Survey of road cracks in a timely, complete, and accurate way is pivotal to pavement maintenance planning. Motivated by the increasingly heavy task of identifying cracks, researchers have developed...
Origin-destination inference in public transportation systems: A comprehensive review
March 2023
Origin-destination (OD) modeling facilitates effective demand-responsive public transportation planning in order to meet emergent needs. Given recent advances in transit information and personal communications...
Measurement model of passengers’ expectations of airport service quality
December 2021
•This empirical study of airport quality factors was conducted in Thailand.•Confirmatory factor analysis was used to develop a model of passengers’ service quality expectations.•The analysis identified...
Real-time traffic conflict prediction at signalized intersections using vehicle trajectory data and deep learning
December 2025
•Uses real-time video data and deep learning for traffic conflict prediction.•Proposes a deep and cross network (DCN) model with lane-level traffic parameters.•Uses SHAP to explain the impact of dynamic...
A two-stage stochastic model for road-rail intermodal freight transportation under demand and capacity uncertainty
Available online 30 August 2025
•Development of a two-stage stochastic optimization model for intermodal freight transport.•Focus on road-rail integration with fixed train schedules under stochastic demand and capacity constraints.•Incorporation...
A simulation approach for analyzing metro resilience under operational incidents
June 2026
Operational incidents represent the most prevalent anomalies encountered within metro systems. This study develops a simulation-based approach for comprehensively understanding the impact of such incidents...
Uni-Light: A unified deep reinforcement learning framework for cooperative traffic signal and connected and automated vehicles control
Available online 18 June 2026
In recent years, deep reinforcement learning (DRL) has been widely applied to urban traffic signal control in mixed traffic environments where human-driven vehicles (HDVs) and connected and automated...
Risk analysis of bridge maintenance accidents: A two-stage LEC method and Bayesian network approach
September 2024
Bridge maintenance is a long-term process that is prone to accidents. Identifying and reducing hidden dangers is crucial in decreasing the occurrence of such accidents. This study proposes a two-stage...
Compatibility and low-temperature performance evaluation of asphalt modified with untreated and KH-151-treated crumb rubber
Available online 17 March 2026
A common challenge in asphalt is low-temperature hardening due to wax crystallization, causing cracking and elevated internal stress-induced fractures. The asphalt binder modification with crumb rubber...
Adaptive emergency evacuation routing: a graph-based approach
December 2025
Emergency evacuation plays a vital role in disaster management operations. The existing solutions for planning and routing emergency evacuations rely on preplanning based on prior information and lack...
Simulation study on effect of permeable pavement on reducing flood risk of urban runoff
December 2019
Permeable pavement is part of the low impact development (LID) measurement, which can decrease urban surface runoff coefficient and flood peak flow. In this paper, a two-way, six-lane road in Nanjing...
State of the art in work zone safety: A systematic review
March 2024
The ever-increasing number of accidents is detrimental to the sustainable objectives of work zones. Exploring the causes for work zone safety (WZS) issues, countermeasures, and effectiveness is significant...
Smartphone sensing for understanding driving behavior: Current practice and challenges
September 2021
•Understanding of driving behavior based on smartphone data is the core of the paper.•An inclusive 4-step methodological framework is established for driving analytics.•The 4 steps are: Data collection,...
In-situ resources for infrastructure construction on Mars: A review
March 2022
•Possible in-situ resources for infrastructure construction on Mars were proposed.•Feasibility of in-situ energy exploitation and intelligent construction was proposed.•The Martian soil, basalt and...
Graph neural networks for travel distance estimation and route recommendation under probabilistic hazards
March 2026
Estimating the shortest travel time and providing route recommendations between different locations in a city or region can quantitatively measure the conditions of the transportation network during...
Evaluation of public transportation station area accessibility based on walking perception
June 2023
•Key factors affecting pedestrian’s perception of time and distance to stations.•A pedestrian perceptual impedance model according to the choice-based conjoint analyses.•Evaluating station area accessibility...
Enhancing autonomous vehicle safety: an integrated ensemble learning-logit model for accident severity prediction and analysis
June 2026
•Developed an Integrated Ensemble Learning −Logit Model for predicting AV accident severity.•High-level automation systems (SAE 3–5) significantly reduce accident severity compared to lower automation...