Factors affecting the injury severity of head-on crashes on undivided rural roads under different weather conditions
March 2026
Head-on collisions are among the most severe types of crashes, consistently resulting in more severe injuries than other types of collisions. One of the most important factors affecting these crashes...
Effects of urban form and socio-economic factors on transport-related carbon dioxide emissions: a structural equation approach
March 2026
•Urban form exhibits minimal influence on travel behavior, whereas socio-economic factors exert a significant negative direct effect.•Urban form significantly reduces CO2 emissions through direct effects;...
A diffusion model-based intelligent optimization method of rural road environments
March 2026
•An intelligent optimization method for rural road environments is proposed by image generation technology.•The impacts of environmental semantic components on driving speed are analyzed by explainable...
Quantum-omni: a quantum computing and GPT-4o solution for camel-vehicle collisions
March 2026
Camel-Vehicle Collisions (CVCs) have been a major cause of public safety hazards in the Gulf countries, in particular, the United Arab Emirates and Saudi Arabia. It is similar to deer-vehicle collisions...
Prediction of LWST values using ML and ANN techniques from frcition and texture measuring devices based on long term field data
March 2026
Given the cost, time requirements, and limited accessibility of locked wheel skid trailer (LWST) testing, this research explores alternative approaches to predicting skid number (SN) using more affordable...
Leveraging multisource data for οff-street parking occupancy prediction: a twofold analysis
March 2026
Predictive parking management may have far-reaching implications on network traffic and emissions, but requires high-performance models for predicting parking demand and supply. This paper focuses on...
Examining causal factors of traffic instability using traffic flow and driving behavior data
March 2026
Developing proactive prevention measures before accidents is a powerful means of kerbing traffic accidents. Many studies have confirmed that the state of the traffic would fluctuate significantly before...
Measurement error propagation laws and comparative scheme study in sensor location problem based on turning ratios
March 2026
The sensor location flow-observability problem is to identify the optimal set of observed links in a traffic network where sensors should be installed, ensuring that unobserved link flows can be uniquely...
A YOLO-based network with dynamic feature pyramid for multi-scale bridge surface defect detection
March 2026
Bridge surface defect detection is critical for guaranteeing transportation safety and maintenance planning. With the innovation of image acquisition technology and computer vision science, deep learning...
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...
Short-term passenger flow prediction of urban rail transit on Bayesian optimization-bidirectional long short-term memory with causal temporal pattern attention
March 2026
Accurate and reliable short-term passenger flow prediction is crucial for optimizing operational organization and enhancing intelligent management in urban rail transit. However, passenger flow remains...
An approach of identifying and assessing the factors influencing traffic crashes: a combination of exploratory factor analysis and fuzzy analytical hierarchy process
March 2026
Preventing traffic accidents is a top priority worldwide, considering its extensive negative impact on people’s physical and mental health, the economy, and government expenditure. This research aims...
An analysis of layout strategies for public transport hubs in polycentric urban regions considering functional classification
March 2026
The polycentric urban regions (PURs) necessitate an integrated public transport system encompassing intra and inter-city transport. Compared to traditional monocentric cities, the hubs and lines of...
Development of an unsupervised 3D LiDAR-based methodology for automated safety monitoring of railway facilities
March 2026
Railway safety (e.g., at grade crossings, platforms, or rail tracks) is a primary concern for transportation authorities. Unfortunately, preventable railway collisions claim the lives of hundreds annually,...
Material-oriented maintenance of railway track using under sleeper pads (USPs)
March 2026
Under sleeper pads (USPs) are an emerging technology that has demonstrated numerous advantages in infrastructures of railway transportation. This review study explores the innovative application of...
Optimal seat occupancy rate of customized bus services considering in-vehicle infection risk cost during public health emergencies
March 2026
Customized bus (CB), offering personalized routes and reserved seat arrangements, meets the diverse travel needs of passengers. However, the usage of public transit drops significantly during public...
Construction of airport digital runway based on in-situ sensing data
March 2026
Performance evaluation of facilities in flight area is a key factor affecting the safety of airport, and monitoring the infrastructures in real time and reporting the performance of the airport runway...
Non-disruptive rail track geometry measurement system using an unmanned aerial vehicle and a light detection and ranging sensor
March 2026
The safety of train operations largely depends on the health of rail tracks, necessitating regular and meticulous inspection and maintenance. A significant part of such inspections involves geometric...
Machine learning framework for predicting urban road speed profiles and uncertainty
March 2026
Road speed serves as a vital indicator for traffic managers and road designers due to its correlation with congestion, safety, and pollutant emissions. Traditional speed models focus mainly on predicting...
Integrating acoustic-based risk quantification for modeling one-to-one dynamic pedestrian-vehicle interactions at non-signalized crosswalks using empirical data
March 2026
•Developed a novel model to quantify perceived risk in pedestrian-vehicle interactions.•Identified key risk thresholds to improve autonomous driving decisions.•Revealed four strategic behaviors in pedestrian-vehicle...
Discovering impacts of built environment on transit ridership in the post-COVID era: policy intervention and nonlinear dynamics
March 2026
Transit ridership continues to struggle with recovery in the post-COVID era. While previous studies have examined ridership patterns after COVID-19, the collective impact of lifted control policies...
A Sageformer-KAN deep learning model for demand prediction of online food deliveries
Available online 25 March 2026
The rapid growth of online food delivery (OFD) demand, fueled by recent consumer habit changes and technological advancements, has called for more efficient instant logistics resource management. Accurately...
Joint optimisation of taxiing mode and gate assignment for close parallel runways based on genetic algorithms
Available online 25 March 2026
For close parallel runway airports equipped with end-around taxiways (EAT), the joint optimisation of taxiing mode selection and gate assignment is essential to improving operational efficiency and...
Traffic operation and safety performance of the new roundabout and median U-turn combination design in comparison to four roundabout designs
Available online 22 March 2026
This study evaluates the proposed roundabout and median U-turn (R/MUT) combination design as a potential solution to improve traffic operations and safety at congested roundabouts. Using microsimulation,...
Post-earthquake recovery: GIS-driven prioritization of urban transportation networks in Sari, Iran
Available online 17 March 2026
Rapid restoration of transportation networks is crucial for effective post-earthquake response, yet persistent challenges hinder network optimization due to factors compromising functionality. This...