Recent Articles

Open access

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

Real-time pothole detection using yolo models: an efficient and cost-effective solution for infrastructure monitoring

Effective maintenance of roads is fundamental to transportation infrastructure with significant impact on safety and mobility. Notably, timely and precise pothole detection is essential for preventing...

Intermediate-temperature cracking performance evaluation of asphalt mixtures

This study examines the influence of specimen thickness and air void content on asphalt cracking performance using the multi-stage semi-circular bending dynamic (MSSD) test and the indirect tensile...

COM-Roundabout: the first smart commutable and self-regulating roundabout for HDVs and CAVs

In the last decades, many new types of roundabouts and traffic regulation systems have been introduced in several countries. However, some issues related to their performance and safety remain. This...

Understanding the influence of affective and restorative potential of built environments on intention and walking behavior

•A theory of planned behavior to determine factors influencing school walking trips.•Gender-based analysis of walking for school trips.•Environmental concerns and artificial environments have different...

Socially responsible pay for priority traffic control system for e-commerce delivery vehicles

This research proposes a socially responsible pay-for-priority traffic control system for e-commerce delivery vehicles (EDVs). The system aims to maximize revenue collection while preserving existing...

Stochastic optimization model for port infrastructure planning considering uncertainties in wave and vessel arrival times

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...

Electric vehicles vs. internal combustion engine vehicles: a comparative study of crashes involving vulnerable road users

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...

The impact of electric vehicles’ strong acceleration performance on traffic safety risks at signalized intersections: a case study in China

Electrification has become a major trend in the automotive industry. Compared with traditional fuel-powered vehicles, electric vehicles (EVs) exhibit stronger acceleration performance, which may impact...

HCT-LSTM: integrating habit, current situation, and tendency for driving safety state prediction in adverse weather conditions

•An HCT driving behavior evaluation system was established, encompassing driving habits, current situations, and tendency.•K-means algorithm was utilized to classify driving safety status and driving...

Who took my right-of-way? Human decision-driven modeling of bus lane mixed flow under roadside access interference

•Establishing a three-lane mixed traffic flow model including bus lanes and social lanes under roadside access interference.•Exploring how key factors affect the operation of bus lanes from the perspective...

Characterization of binder and asphalt mixture modified with waste toner

Incorporating waste materials as additives in road and highway construction offers significant economic and environmental advantages. This study utilizes waste toner (WT) as an additive in binder and...

Optimized deep learning for pedestrian safety in autonomous vehicles

This study focuses on enhancing pedestrian detection for autonomous driving and intelligent surveillance systems, where challenges like complex backgrounds, obstructions, and small target sizes can...

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 car drivers by analyzing response time and hazard identification performance measures. A video-based test method was selected to evaluate hazard...

The cooperative inspection routing problem for urban environmental management

Urban environmental management against air pollution is of critical importance to public health. Despite the proliferation of ubiquitous air quality sensors and advancement of information systems, an...

Deep charge-fusion model: advanced hybrid modelling for predicting electric vehicle charging patterns with socio-demographic considerations

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

Enhancing autonomous vehicle safety: an integrated ensemble learning-logit model for accident severity prediction and analysis

•Developed an Integrated Ensemble Learning −Logit Model for predicting AV accident severity.•High-level automation systems (SAE 3–5) significantly reduce accident severity compared to lower automation...

Exploring time allocation patterns for daily activities through a discrete choice modeling approach

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...

Intelligent vehicle routing for stochastic service times: a grouping evolution strategy approach

After-sales service companies often need to transport and distribute their products, as well as provide services like installation and setup. In this paper, we study a vehicle routing problem (VRP)...

Erosion-enhanced rain optimization algorithm for efficient blood bag transport in multimodal healthcare logistics

•The Erosion-Enhanced Rain Optimization Algorithm (ROA) dynamically adapts to route degradation, optimizing logistics for blood bag transport using trucks and drones in multimodal networks.•The algorithm...

A robust deep learning-based system for pedestrian-aware collision prevention in autonomous vehicles

Pedestrian collisions remain a critical concern in road safety research due to pedestrians’ heightened vulnerability and the substantial impacts on road networks and public healthcare systems. These...

Investigating safety implications of median U-turn (MUT) intersections based on dilemma zone and critical gap analysis

Median U-turn (MUT) intersections present a distinctive configuration where certain vehicular movements, such as right-turns and crossings from the primary road or secondary crossroads, are achieved...

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...

Adaptive federated learning framework for predicting EV charging stations occupancy

Forecasting the occupancy of electric vehicle (EV) charging stations is crucial for addressing key challenges in e-mobility, including charging inefficiency, traffic congestion, and drivers’ difficulty...

Selecting and optimizing distress feature descriptors from multi-source images for pavement distress classification

Accurate and efficient early detection of pavement distress is crucial, as it prevents further deterioration, reduces repair costs, and enhances driving safety by mitigating hazards like potholes and...

Enhancing the abrasion resistance of cement concrete pavement through in-situ precipitation of hydroxyapatite

•A bio-inspired method using diammonium phosphate (DAP) solution induces in-situ precipitation of hydroxyapatite (HAP) on Portland cement concrete (PCC) pavements, significantly improving abrasion resistance.•The...

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