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

Data-driven statewide prioritization of corridors for signal retiming projects

While emerging technologies has substantially improved the way traffic signals operated, most agencies still rely on the traditional approach of retiming, which is typically initiated by “trigger” events...

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Analysis on the synergistic variation of soil freezing and pile foundation bearing capacity in permafrost regions

The construction of bored piles in permafrost regions disturbs the thermal stability of frozen soil, leading to decreased early bearing capacity of the pile foundation. As the permafrost ground temperature...

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Temporal assessment of emission inventory model for Indian heavy commercial vehicle segment: A top-down approach

Heavy commercial vehicles (HCVs) are pivotal to India's economy, but are also significant sources of air pollution. To address this issue, the Indian government implemented Bharat stage VI (BS-VI) emission...

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Performance evaluation of Bailey method used in asphalt mixtures containing natural river sands

This study aims to investigate the efficiency of the Bailey method when natural sand is included in the mix at two coarseness levels of aggregate gradations: fine-graded (FG) and coarse-graided (CG),...

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Comparing the vibrational behavior of e-kick scooters and e-bikes: Evidence from Italy

E-kick scooters are currently among the most popular emerging electric-powered personal micro-mobility vehicles (e-PMVs), and have recently been equated to e-bikes. However, even if the dynamic behavior...

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Effective lane width for cars considering lateral oscillation characteristics based on high-precision field data

The cross-sectional width of highways is a major factor that affects the construction cost of engineering projects. With the increasing demand for intensive highway construction, research on dedicated...

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Discovering latent themes in aviation safety reports using text mining and network analytics

Aviation accidents, referring to unexpected and undesirable events involving aircraft, often cause great damage to property and human life. Learning from historical accidents is pivotal for improving...

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Neural network surrogate models for aerodynamic analysis in truck platoons: Implications on autonomous freight delivery

•Proposed a generalized surrogate model for different truck platoon configurations.•Fuel saving is up to 10% autonomous truck platooning.•Compared autonomous truck delivery vs. conventional trucking...

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Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and machine learning techniques

Speeding is one of the most common aberrant driving behaviors among the driving population. Although research on speeding behavior among drivers has increased over the decades, little is known about...

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Impacts of characteristics of service facilities in metro station area on housing prices

•The development of metro stations stimulates the growth of housing prices.•Service facilities have a nonlinear threshold effect on housing prices.•The gradient boosting decision tree model can better...

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Vehicle carbon emission estimation for urban traffic based on sparse trajectory data

•Proposed a vehicle carbon emission estimation method for sparse trajectory data.•Sparse trajectory data includes data with different sampling frequencies.•Proposed a trajectory reconstruction method...

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Characteristics and identification of risky driving behaviors in expressway tunnels based on behavior spectrum

Expressway tunnels are semi-enclosed structures characterized by monotonous alignment transitions and unique lighting environments, which can easily lead to drivers developing constrained and irritable...

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Automatically detect crosswalks from satellite view images: A deep learning approach with ground truth verification

Like roadway information is to motor vehicle safety, pedestrian facility information (e.g., sidewalk presence) is crucial towards improving the safety of these vulnerable road users. Yet unlike widely...

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Mixing temperature optimization and modification mechanism of medical masks modified asphalt: Insights from computational chemistry

Masks modified asphalt (MMA) provides a potential solution to pollution from discarded medical masks. Mixing temperature significantly affects storage stability and rheological performance of MMA. Traditional...

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Predictive models for road traffic sign: Retroreflectivity status, retroreflectivity coefficient, and lifespan

This study addresses the critical safety issue of declining retroreflectivity values of road traffic signs, which can lead to unsafe driving conditions, especially at night. The paper aims to predict...

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Injury severity of drowsy drivers involved in single vehicle crashes: Accounting for temporal instability and unobserved heterogeneity

Drowsy driving has received comparatively less attention in traffic safety literature when compared to other safety issues, despite its devastating impact on society in terms of human life lost and...

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Train rescheduling and platforming in large high-speed railway stations

To deal with train delays in large high-speed railway stations, a multi-objective mixed-integer nonlinear programming (MO-MINLP) optimization model was proposed. The model used the arrival time, departure...

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Understanding customer preferences for autonomous delivery vehicles in instant delivery: Exploring the impact of delivery and personal attributes

•Instant delivery services face several challenges, including high labor costs, low efficiency, and courier accidents.•Despite the increasing popularity of ADVs, there is a paucity of research on customer...

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Temporal dynamics of pedestrian injury severity: A seasonally constrained random parameters approach

Pedestrians are the most at-risk group in the transportation system, experiencing a troubling and persistent rise in both the frequency and proportion of fatalities over the past decade. In 2022, pedestrian...

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Who is more willing to use shared autonomous vehicles in first-mile-last-mile? A heterogeneity study on carbon incentive policy from China

Encouraging and motivating travelers to opt for more efficient and low-carbon last-mile transportation options is a crucial strategy for increasing the share of public transportation. This study aims...

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Learning to search for parking like a human: A deep inverse reinforcement learning approach

•Maximum entropy-based DIRL for learning parking search behavior.•High-fidelity simulation platform with 987 trajectories from Unity3D.•Hybrid simulation system integrating DIRL and traditional traffic...

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Adaptive emergency evacuation routing: A graph-based approach

Emergency evacuation plays a vital role in disaster management operations. The existing solutions for planning and routing emergency evacuations rely on preplanning based on prior information and lack...

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Are you ready? Understanding the intention to use highly automated on-demand vehicles while considering technology readiness and environmental drive

Highly automated vehicles represent a potentially disruptive technology, with uncertainties about their successful integration into existing transport systems. This study explores psychological factors...

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Incident duration reliability assessment using Monte-Carlo simulation and kernel density estimation of machine learning-based models

Traffic incidents are a major cause of non-recurrent congestion and delays, making accurate incident duration (ID) prediction essential for effective traffic management. While machine learning (ML)...

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Event-triggered prescribed-time control for vehicular platoon systems with unknown disturbances

An event-triggered prescribed-time control scheme is proposed for vehicular platoon systems (VPSs) subject to parameter uncertainties, unknown external disturbances and actuator saturation. By utilizing...

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