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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...

Understanding the effects of structural factors and traffic loading on flexible pavement performance

Pavement damage increases rapidly with vehicle loads. The deterioration in pavements over time is caused by various factors but traffic loading plays a significant role in the consumption of pavement...

A systematic literature review of defect detection in railways using machine vision-based inspection methods

Train rolling stock and track inspections are necessary for the safe operation of the train. For this reason, a regular inspection of defects is required for the train rolling stock. The conventional...

The economic burden of road traffic accidents and injuries: A small island perspective

The existing evidence on the economic burden of road accidents on gross domestic product (GDP) focused mainly on developed countries. This paper addresses an important gap in the literature by investigating...

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...

Compatibility and low-temperature performance evaluation of asphalt modified with untreated and KH-151-treated crumb rubber

A common challenge in asphalt is low-temperature hardening due to wax crystallization, causing cracking and elevated internal stress-induced fractures. The asphalt binder modification with crumb rubber...

Indian traffic sign detection and recognition using deep learning

•Deep learning based model named Refined Mask R-CNN (RMR-CNN).•Customized Indian Traffic sign dataset with 6480 images.•Pre-processing methods included to increase the efficiency of the model.•Accuracy...

A state-of-the-art survey of deep learning models for automated pavement crack segmentation

Survey of road cracks in a timely, complete, and accurate way is pivotal to pavement maintenance planning. Motivated by the increasingly heavy task of identifying cracks, researchers have developed...

Application of permeable pavements in highways for stormwater runoff management and pollution prevention: California research experiences

In the future, permeable pavements including the full depth permeable pavement (FDPP) will be part of an integrated sustainable transportation program. When designed properly, FDPP can be used as an...

Non-disruptive rail track geometry measurement system using an unmanned aerial vehicle and a light detection and ranging sensor

The safety of train operations largely depends on the health of rail tracks, necessitating regular and meticulous inspection and maintenance. A significant part of such inspections involves geometric...

A two-stage stochastic model for road-rail intermodal freight transportation under demand and capacity uncertainty

•Development of a two-stage stochastic optimization model for intermodal freight transport.•Focus on road-rail integration with fixed train schedules under stochastic demand and capacity constraints.•Incorporation...

Evaluating the safety impacts of three-dimensional alignments of mountainous freeways using an interpretable machine learning approach

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...

Simulation study on effect of permeable pavement on reducing flood risk of urban runoff

Permeable pavement is part of the low impact development (LID) measurement, which can decrease urban surface runoff coefficient and flood peak flow. In this paper, a two-way, six-lane road in Nanjing...

Measurement model of passengers’ expectations of airport service quality

•This empirical study of airport quality factors was conducted in Thailand.•Confirmatory factor analysis was used to develop a model of passengers’ service quality expectations.•The analysis identified...

A simulation approach for analyzing metro resilience under operational incidents

Operational incidents represent the most prevalent anomalies encountered within metro systems. This study develops a simulation-based approach for comprehensively understanding the impact of such incidents...

Transport accessibility for wheelchair users: A qualitative analysis of inclusion and health

Using the case of wheelchair users who choose to use public transport in London, this paper highlights the experiences of a marginalized group within infrastructure to investigate how transport impacts...

Mode shift behaviour and user willingness to adopt the electric two-wheeler: A study based on Indian road user preferences

As per statistics, two-wheeler (TW) alone shares the highest number of vehicle registrations in India, which develops the various transportation-related issues such as traffic conflicts, congestions,...

Origin-destination inference in public transportation systems: A comprehensive review

Origin-destination (OD) modeling facilitates effective demand-responsive public transportation planning in order to meet emergent needs. Given recent advances in transit information and personal communications...

Real-time traffic conflict prediction at signalized intersections using vehicle trajectory data and deep learning

•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...

Evaluation of public transportation station area accessibility based on walking perception

•Key factors affecting pedestrian’s perception of time and distance to stations.•A pedestrian perceptual impedance model according to the choice-based conjoint analyses.•Evaluating station area accessibility...

An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

•Instant delivery operations are inherently characterized by dynamics and uncertainties.•Task buffering and dynamic batching strategies are proposed to tackle the demand uncertain and reduce the delivery...

Traffic anomaly detection by fusing spatiotemporal graphs and visual perception

Traffic anomaly detection (TAD) is essential for highway operational safety but remains challenging due to limitations of single-modality visual methods or costly sensor reliance. Current systems exhibit...

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...

In-situ resources for infrastructure construction on Mars: A review

•Possible in-situ resources for infrastructure construction on Mars were proposed.•Feasibility of in-situ energy exploitation and intelligent construction was proposed.•The Martian soil, basalt and...

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...

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