A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection
March 2025
Multi-source track-to-track association (TTTA), which identifies trajectories from multiple sensors or data sources of the same dynamic vehicle, is an important data fusion technique widely applied...
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Investigating the contributing factors of crashes on interstate bridges in Louisiana using latent class clustering and association rule mining
March 2025
•Latent class clustering was used on Louisiana interstate bridge crashes (2015–2020).•Homogeneous 4 clusters are – ‘4-lane,’ ‘6-lane,’ ‘single-vehicle crashes,’ and ‘unknown driver.’•4-lane and 6-lane...
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Optimizing roads for sustainability: Inverted pavement design with life cycle cost analysis and carbon footprint estimation
March 2025
Inverted pavements have proven performance across the world, and there is a need to optimize the layer thickness and material properties of the pavement addressing the critical failures in the mechanistic-empirical...
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Workforce forecasting for state transportation agencies: A machine learning approach
March 2025
A decline in the number of construction engineers and inspectors at state transportation agencies (STAs) to manage the ever-increasing lane miles has emphasized the importance of workforce planning...
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Optimizing multimodal timetable synchronization of intercity railway and metro for the first service period during holidays
March 2025
Metro plays a vital role in managing passenger distribution at intercity railway (IR) stations, particularly during holidays when there is a surge in tourist traffic. To efficiently accommodate the...
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Electric vehicles vs. internal combustion engine vehicles: A comparative study of crashes involving vulnerable road users
Available online 22 March 2025
Powered by electric engines, electric vehicles (EVs) exhibit unique dynamic characteristics that may lead to different crash characteristics and outcomes compared with traditional internal combustion...
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The impact of electric vehicle’s strong acceleration performance on traffic safety risks at signalized intersections: A case study in China
Available online 21 March 2025
Electrification has become a major trend in the automotive industry. Compared to traditional fuel-powered vehicles, electric vehicles (EVs) exhibit stronger acceleration performance, which may impact...
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Stochastic optimization model for port infrastructure planning considering uncertainties in wave and vessel arrival times
Available online 19 March 2025
This paper proposes a stochastic optimization model that considers not only the uncertainties in wave and vessel arrival times but also sedimentation and tidal occurrence. Those factors impact the vessel’s...
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Exploring time allocation patterns for daily activities through a discrete choice modeling approach
Available online 19 March 2025
This study examines human daily mobility patterns by analyzing activity duration choices through discrete choice models, offering insights into travel behaviors across diverse geographic and cultural...
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Enhancing autonomous vehicle safety: An Integrated Ensemble Learning-Logit Model for accident severity prediction and analysis
Available online 19 March 2025
•Developed an Integrated Ensemble Learning −Logit Model for predicting autonomous vehicle accident severity.•High-level automation systems (SAE 3–5) significantly reduce accident severity compared to...
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A simulation approach for analyzing metro resilience under operational incidents
Available online 19 March 2025
Operational incidents represent the most prevalent anomalies encountered within metro systems. This study develops a simulation-based approach aimed at comprehensively understanding the impact of such...
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Factors affecting the injury severity of head-on crashes on undivided rural roads under different weather conditions
Available online 10 March 2025
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
Available online 8 March 2025
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
Available online 7 March 2025
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
Available online 5 March 2025
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
Available online 5 March 2025
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
Available online 1 March 2025
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
Available online 1 March 2025
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
Available online 26 February 2025
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
Available online 21 February 2025
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
Available online 19 February 2025
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
Available online 17 February 2025
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
Available online 17 February 2025
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
Available online 13 February 2025
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)
Available online 7 February 2025
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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