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Journal of Advanced Transportation
Scopus
ISSN 2042-3195 · Wiley · 2.790 artikel di indeks
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Artikel Jurnal
YUAR: A Reliable Computer Vision Method for Aircraft Docking and Push-Back Recognition at Airport Gates
Efficient timing of aircraft docking and push-back operations is crucial for enhancing the efficiency and reliability of civil aviation operations. Traditional methods suffer from significant data loss, high human involvement, and low accuracy, which are prone to inaccuracies that can disrupt…
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Artikel Jurnal
Coordinated Optimization of Built Environment and Traffic System State Based on GWR–DEA Model
Escalating urban traffic problems are impeding city development, underscoring the critical need to better coordinate built environments (BEs) with traffic system states (TSSs). However, the efficiency measurements in the current data envelopment analysis (DEA) model exhibit excessive dependence on…
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Research on Relieving Comprehensive Transportation Bottlenecks for Railway Capacity Based on Multiple Strategies
Since 2015, China’s railway freight volume has steadily increased; however, the transportation capacity of the existing road network cannot fully adapt to the pressure caused by the increase in freight volume. In addition, the limitations of the current traffic flow adjustment system pose a…
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Risk Assessment and Emergency Decision-Support for Urban Transportation Network Subjected to Seismic Hazards Using a Bayesian Network
The assessment of the risk associated with urban road networks, particularly in the context of earthquakes, is of paramount importance for the identification and reinforcement of the most vulnerable sections of urban road networks and the selection of optimal emergency rescue routes. This paper…
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A Game-Theoretic Analysis of Carbon-Trading Mechanisms: Strategic Interactions Between Government and Liner Shipping Companies in China’s New Western Land–Sea Corridor
The transportation sector is a major contributor to global carbon emissions; however, the high costs of infrastructure and equipment present significant barriers to effective emission reduction. As a market-based mechanism, carbon trading improves the efficiency of emission reductions and…
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Correlation Analysis of Influencing Factors of Autonomous Vehicle Accidents Based on Improved Apriori Algorithm
The purpose of this study was to explore the risk factors for autonomous vehicle (AV) crashes and their interdependencies. A total of 659 AV crash data were collected between 2018 and July 2024 from AV crash reports published by the California Department of Motor Vehicles. Characteristics such as…
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Prediction of Vehicle Lane-Changing Trajectories in Highway Merging Areas Based on Physics-Enhanced Residual Learning
To improve lane-changing efficiency and reduce safety risks for ramp vehicles in highway merging areas, this paper presents a method for predicting vehicle trajectories in these types of scenarios, and it is based on physics-enhanced residual learning. Focusing on ramp lanes and adjacent mainline…
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Research on the Reasons for Route Deviation at F-Shaped Intersections Based on Navigation Operation Data
Driver deviations from planned routes during navigation threaten road safety and reduce traffic efficiency, with F-shaped intersections emerging as a high-risk scenario. This study investigates deviation causes using real-world navigation operation data and hourly aggregated observations. A…
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AutoML-Enhanced Delay Forecasting With SHAP Interpretability in Highway Work Zones Under Diversion Constraints
The increasing scale of highway reconstruction and expansion projects has intensified traffic management challenges in construction zones, particularly within sparse road networks constrained by limited diversion capacities and elevated freight truck ratios. This study proposes an integrated…
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Predictive Modeling for Enhanced Truck Parking Information Systems Using Machine Learning
The growing demand for truck freight in the United States has intensified the shortage of truck parking, posing safety and operational challenges. While real-time Truck Parking Information and Management Systems (TPIMSs) offer current availability, predictive insights remain limited. This study…
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Calculation Method for Traffic Capacity of Short-Distance Continuous Merging Areas of Expressways in Mountainous Urban
In mountainous urban areas, road construction is often severely constrained by topographical conditions, leading to the frequent occurrence of short-distance continuous merging areas along expressways. Accurately calculating the capacity of such merging areas is critical for effective traffic…
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Artikel Jurnal
Traffic Flow Assignment on Expressways: A GCN-TODIM Framework Leveraging Large-Scale Trajectory Data
As expressway networks expand and road system complexity increases, the demand for accurate traffic assignment results continues to grow. However, traditional models struggle to capture the behavioral inertia of travelers, limiting assignment accuracy. This study proposes a novel traffic assignment…
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Optimizing Lane Transition Zone Length and Minimum Entry Clearance Distance in Merging Areas With Longitudinal Traffic Separator for Expressway Reconstruction and Expansion
Merging-zone safety remains a critical challenge in transportation engineering due to frequent severe accidents and insufficient research on longitudinal traffic separator (LTS) configurations and the limited availability of evidence-based guidance for LTS openings in interchange merging areas…
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Research on Path Optimization for UAV-Vehicle Collaboration in Emergency Rescue
With the rapid development of the low-altitude economy, unmanned aerial vehicles (UAVs) have exhibited enormous potential in emergency rescue and material delivery fields due to their flexibility; however, individual UAVs are often constrained by endurance issues. This paper focuses on rescue…
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Comprehensive Behavior Spectrum Analysis of Risky Driving Behaviors on Mountain Curves
Constrained by complex topography, mountain roads with tight bends and steep slopes show inherently high-risk traits, with accident rates several times higher than on ordinary roads. Dynamic driving behaviors and complex environmental interferences have long hindered risk assessment due to…
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Optimal Quota for Trip Reservation at Key Corridors of Urban Road Networks
To alleviate expressway congestion caused by excessive private vehicle use, trip reservation has emerged as a proactive traffic management strategy. However, when too many vehicles are admitted within the same time window, the travel efficiency of reservation users deteriorates, compromising the…
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Temporal Analysis of Nonmandatory Trip Frequency Using an Adaptive Multivariate Ordered Probit Model: Empirical Investigation in Shanghai, China
This study investigates the temporal evolution of nonmandatory trip frequencies in Shanghai over a decade using a temporally adaptive multivariate ordered probit (MOP) model. Two large-scale travel surveys are pooled, and temporal changes are captured through year dummy interaction terms…
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Analysis of the Performances of Electric Vehicle Batteries: A Systematic Literature Review
Electric vehicles (EVs) are increasingly becoming the main mobility option, with global sales in 2023 driven predominantly by China (60%), Europe (25%) and the United States (10%). This widespread adoption has intensified demand for EV batteries, which exceeded 750 GWh in 2023, marking a 40%…
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Modeling and Predicting the Spatiotemporal Dynamics of Construction Waste Hauling Trucks Using an Input–Output Hidden Markov Approach
Construction waste hauling (CWH) trucks are a significant source of air pollution and particulate emissions in urban environments, prompting strict regulatory controls and monitoring. Accurate prediction of their transportation activities, including destinations and arrival times, is critical for…
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Artikel Jurnal
Risk Analysis of Accident Severities on Freeway Based on Copula Bayesian Network
Preventing severe injuries in crashes has emerged as a central concern in freeway traffic safety research. To mitigate severe injuries, it is essential that the influential factors affecting accident severity be identified. In this research, accident data were collected from Los Angeles County…
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