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ISSN: 2046-0430
CN: CN31-2204/U
e-ISSN: 2046-0449

Factors Affecting the Injury Severity of Head-On Crashes on Undivided Rural Roads under Different Weather Conditions

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...

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Modeling Response Time and Hazard Identification in a Video-Based Hazard Perception Test for Car Drivers

This study aimed to evaluate hazard perception ability of the car drivers by analyzing response time and hazard identification performance measures. A video-based test method was selected to evaluate...

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Deep Charge-Fusion Model: Advanced Hybrid Modelling for Predicting Electric Vehicle Charging Patterns with Socio-Demographic Considerations

This study examines electric vehicle (EV) charging behaviours across 5,898 participants from various socio-demographic backgrounds, using both statistical analysis and deep learning models. Exploratory...

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Non-Disruptive Rail Track Geometry Measurement System Using an Unmanned Aerial Vehicle and a Light Detection and Ranging Sensor

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...

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Machine learning framework for predicting urban road speed profiles and uncertainty

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...

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Synergistic effects of natural fibres and agro-waste ash on the engineering and sustainability of stone-matrix asphalt mixes

This study investigates the use of non-traditional natural fibres, specifically sisal plant fibres (SF) and coconut coir coir fibres (CCF), in Stone Matrix Asphalt (SMA) mixtures. The objective was...

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Stochastic multi-objective optimization for dynamic timetable and track allocation at high-speed railway hubs

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...

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Graph neural networks for travel distance estimation and route recommendation under probabilistic hazards

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...

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Leveraging multisource data for οff-street parking occupancy prediction: A twofold analysis

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...

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Discovering impacts of built environment on transit ridership in the post-COVID era: Policy intervention and nonlinear dynamics

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...

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Q-Omni: A quantum computing and GPT-4o solution for Camel-Vehicle Collisions

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...

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An analysis of layout strategies for public transport hubs in polycentric urban regions considering functional classification

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...

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Comparison of approaches to assessing ballast layer contamination using ground penetrating radar

The railway ballast layer plays an important role in the functioning of the entire track structure as a whole, provides the connection of the rail-sleeper grid with the roadbed and its stability in...

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Material-oriented maintenance of railway track using under sleeper pad (USP)

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...

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Prediction of LWST values using ML and ANN techniques from frcition and texture measuring devices based on long term field data

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...

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A Diffusion model-based intelligent optimization method of rural road environments

•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...

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Effects of urban form and socio-economic factors on transport-related carbon dioxide emissions: A structural equation approach

•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;...

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Modeling economic impacts of transportation infrastructure in Pennsylvania considering spatial dependency across counties

Quantifying the impact of investment in transportation infrastructures such as bridges, roads, traffic signals, ports, and railroads has been of immense interest to researchers. Due to the nature of...

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Examining causal factors of traffic instability using traffic flow and driving behavior data

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...

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An approach of identifying and assessing the factors influencing traffic crashes: A combination of Exploratory Factor Analysis and Fuzzy Analytical Hierarchy Process

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...

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Short-term passenger flow prediction of urban rail transit on Bayesian Optimization- Bidirectional Long Short-Term Memory with Causal Temporal Pattern Attention

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...

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Development of an unsupervised 3D LiDAR-based methodology for automated safety monitoring of railway facilities

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,...

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Optimal seat occupancy rate of customized bus services considering in-vehicle infection risk cost during public health emergencies

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...

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Construction of airport digital runway based on in-situ sensing data

Performance evaluation of facilities in flight area is a key factor affects the safety of airport, and real-time monitoring of the infrastructures and reporting the performance of the airport runway...

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Integrating acoustic-based risk quantification for modeling one-to-one dynamic pedestrian-vehicle interactions at non-signalized crosswalks using empirical data

•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...

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