Traffic Light Detection using Ensemble Learning by Boosting with Color-Based Data Augmentation
Available online 8 November 2024
Recent advancements in deep neural networks have significantly improved the detection and recognition of traffic lights for advanced driver assistance systems (ADAS). Traditional methods often rely...
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Using Statewide Transportation Planning Model to Forecast Demand for Electric Vehicle Charging at Stations Along Intercity Highways
Available online 7 November 2024
The availability of Charging Stations (CSs) with adequate capacity is critical for the growth in ownership and usage of Electric Vehicles (EVs). In the United States, the state Departments of Transportation...
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Hierarchical dynamic modeling for highway network real-time risk forecasting with digitalized vehicle data
Available online 6 November 2024
In traffic safety management, identifying high-risk areas prone to traffic crashes is crucial. Road authorities focus on these high-risk segments to implement strategies that mitigate the impact of...
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Geometric design optimization of speed tables at urban arterials using UAV assistance
Available online 6 November 2024
One of the primary risk factors at junctions on urban roads is vehicle speed. To curb over-speeding and road crashes at intersections, traffic calming measures are introduced. Current research aims...
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Real-time traffic conflict prediction at signalized intersections using vehicle trajectory data and deep learning
Available online 23 October 2024
•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...
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Machine learning-based climate zoning and asphalt selection for pavement infrastructure under changing climate: A focused study of Ningxia, China
Available online 22 October 2024
Climate change poses significant challenges to the durability and performance of asphalt pavements. This study presents a comprehensive analysis of climatic factors in Ningxia, China, to establish a...
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Enhanced in-situ measurement and evaluation methods for subgrade modulus utilizing falling weight deflectometer
Available online 21 October 2024
Falling Weight Deflectometer (FWD) tests have gained increasing popularity in evaluating the stiffness modulus of pavement subgrade. This paper presents an enhanced method for in-situ testing and evaluation...
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A dictionary-based Bayesian approach to optimizing left-turn restriction locations in grid networks
Available online 19 October 2024
Left-turn movements at signalized intersections pose significant safety risks for the drivers and efficiency concerns for the traffic operations in urban networks. Restricting left-turn movements at...
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Deployment of Public Charging Stations for BEVs Using an Agent-Based Modeling Approach
Available online 19 October 2024
A low utilization rate of public chargers and unmatched deployment of public charging stations (CSs) are partly attributed to inappropriate modeling of charging behavior and biased charging demand estimation....
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When segment anything model meets inventorying of roadway assets
Available online 19 October 2024
Automating the identification, localization, and monitoring of roadway assets distributed widely in the roadway network is critical for the traffic management system. It can efficiently provide up-to-date...
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An improved multi-objective method for the selection of driverless taxi site locations
Available online 19 October 2024
To expedite the large-scale deployment of driverless taxis and advance the autonomous driving industry, research on the location of integrated parking and charging facilities for driverless taxis has...
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Joint optimization of metro train timetable and stopping plan for the first service period: An integrated energy-efficient and time-saving model
Available online 19 October 2024
This paper addresses the energy conservation challenge in metro systems during the first service period, characterized by large train headways and low passenger demands. A novel train timetabling method...
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Demand-aware distributed pathfinding for repositioning vehicles in shared-use autonomous mobility services
Available online 19 October 2024
Shared-use autonomous mobility services (SAMS) have the potential to provide accessible and demand-responsive mobility to passengers, while benefitting from autonomous vehicle (AV) technology and bypassing...
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Identifying the key factors of intermodal travel using interpretative ensemble learning
Available online 8 October 2024
•Development of a novel interpretability-based ensemble learning model to identify key factors affecting intermodal travel.•Differences in feature interpretability between the developed model and the...
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The future of AI in transportation: challenges and opportunities?
Available online 8 October 2024
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Mechanical and metallurgical assessment of a submerged arc welded surfaced rail
Available online 5 October 2024
The surfaces of rails are often damaged during constant loading, so it is essential to repair the damaged areas in a railroad network to get the best performance. However, the traditional methods of...
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Understanding the role of the COVID-19 pandemic on risky driving behavior and injury severity of drivers: Embracing heterogeneity in means and variances
Available online 5 October 2024
The onset of the COVID-19 pandemic significantly altered global mobility patterns, leading to a marked decrease in travel activities worldwide. In the United States, travel demand fell notably, contributing...
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Exploring intercity travel decision-making in a developing country: Insights from COVID-19 impacts in Iran
Available online 5 October 2024
This study examines the impact of COVID-19 on intercity travel mode choices in Mazandaran province, Iran, addressing critical gaps in understanding how pandemics affect travel behavior in developing...
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An exploration of the preferences and mode choice behavior between autonomous demand-responsive transit and traditional buses
September 2024
With the advancement in autonomous driving techniques, autonomous demand-responsive transit (ADRT) is a newly emerging sustainable transport mode for the future, which will provide more flexible services...
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Asphalt pavement surface repair area detection based on smartphone sensors
September 2024
Asphalt pavement repair areas affect pavement performance and service levels. It is necessary to distinguish the repair areas from normal sections. Based on vehicle vibration signals, this study identified...
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Evaluating the impacts of major transportation disruptions – San Francisco Bay Area case study
September 2024
The constraints of transportation networks are fundamental to disaster planning. Having the capability of evaluating the emergent dynamics of such networks in the context of large traffic incidents...
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Operational measures to maintaining physical distancing at railway stations
September 2024
The corona virus disease 2019 (COVID-19) pandemic has increased awareness towards maintaining physical distancing during transportation-related activities. This study presents a microsimulation model...
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Modeling freight truck-related traffic crash hazards with uncertainties: A framework of interpretable Bayesian neural network with stochastic variational inference
September 2024
Due to the increasing demand for goods movement, externalities from freight mobility have attracted much concern among local citizens and policymakers. Freight truck-related crash is one of these externalities...
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Single-vehicle roadway departure crashes at rural two-lane highway curved segments: A diagnosis using pattern recognition
September 2024
Curved segments account for a disproportionately high proportion of fatal and serious injury crashes, with most of these crashes occurring on rural two-lane (R2L) highways. During the 10-year period...
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Connected vehicle enabled hierarchical anomaly behavior management system for city-level networks
September 2024
•Develop a hierarchical traffic management system to reduce the risk of collisions caused by anomaly vehicles.•Provide a low-cost management system for city-level networks with a large number of vehicles.•Evaluate...
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