A dual spatial and channel attention-based deep learning model for pavement crack segmentation
Available online 4 September 2026
Road cracks must be promptly and accurately detected to protect public safety and maintain traffic infrastructure. Conventional image processing and typical convolutional neural network (CNN) techniques...
Machine learning detection of road surface conditions: a generalizable model using traffic cameras and weather data
Available online 2 September 2026
•Developed a model to classify road surface conditions using image and weather data.•Achieved accuracy of 81.5% on completely unseen cameras for weather-related classes.•Integrated co-design with end-users...
Toward personalized traffic demand management: insights into route choice diversity from high-resolution passenger vehicle trajectory data
Available online 30 August 2026
•An advanced mixed Logit model is used for route choice modeling.•Heterogeneities lie in different type of vehicle users and time periods.•The heterogeneity of some variables among users can be affected...
Safety evaluation of urban roundabouts under heterogeneous traffic: a framework integrating drone-based traffic conflict analysis, predictive modeling, and sensitivity analysis
Available online 30 August 2026
•Drone-derived trajectories reveal concentrated critical conflicts at entries, exits and weaving zones.•Spatial heatmaps and conflict maps identify localized high-risk hotspots for targeted interventions.•XGBoost-based...
Mechanism of collaborative load-bearing and crashworthiness of high-strength steel median barriers with transverse support systems
Available online 28 August 2026
To address the compromised crashworthiness of conventional barriers on substandard compaction conditions (85% relative density) in highway medians, this study develops a coupled barrier system featuring...
Vision-based infrastructure monitoring: pavement marking visibility classification using deep neural networks
Available online 27 August 2026
Pavement marking visibility and retroreflectivity are critical indicators of roadway safety and operational efficiency, particularly for human drivers and automated systems alike. This study presents...
Evaluating the safety impacts of three-dimensional alignments of mountainous freeways using an interpretable machine learning approach
Available online 24 August 2026
The safety of mountainous freeways remains a critical concern in road infrastructure planning, especially for routes characterized by intricate geometric alignments. The roadway is essentially a ribbon-shaped...
Uncovering intra- and inter-driver heterogeneity using driving behavior graphs
Available online 17 August 2026
The complexity and randomness of driving behavior pose significant challenges to traffic safety. Analyzing driver behavior characteristics and heterogeneity is crucial for enhancing traffic safety and...
Model predictive control for energy-efficient and safe driving on curved freeways under black ice surface conditions
Available online 10 August 2026
•An energy-efficient and safe driving system is developed for icy curved roads.•A constrained optimization problem is formulated using nonlinear MPC.•The optimally controlled vehicle shows reduced fuel...
Route choice predictions in mixed road networks using CatBoost-based road type preferences classification and a scale- adjusted regret minimization model
Available online 1 August 2026
Currently, there exists an imbalance in the utilization of the mixed road network formed by urban expressways and regular surface roads. This phenomenon is not only related to road attributes but also...
Are Asia and Oceania carriers up to par with the sustainability facet?
Available online 29 July 2026
•Fleet modernization allows airlines to grow capacity while significantly cutting overall emissions.•The lack of coordinated environmental policies in Asia-Oceania creates an uneven competitive playing...
Adaptive look-ahead driving for enhancing traffic flow performance at urban signalized intersections
Available online 15 July 2026
Enhancing driving efficiency while ensuring high throughput at signalized intersections is challenging to achieve safe and sustainable urban mobility. This paper proposes a novel adaptive look-ahead...
Real-time pothole detection using yolo models: an efficient and cost-effective solution for infrastructure monitoring
Available online 2 July 2026
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
June 2026
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
June 2026
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
June 2026
•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
June 2026
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
June 2026
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
June 2026
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
June 2026
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
June 2026
•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
June 2026
•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
June 2026
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
June 2026
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
June 2026
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...