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

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...

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...

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...

Estimation of Passenger Car Unit on urban roads: A literature review

•This paper provides an idea of the status of PCU related research.•It also extends a collective knowledge of how PCU varies with the change in traffic and other conditions.•The present paper helps...

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...

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...

Improved model for pavement performance prediction based on recurrent neural network using LTPP database

Accurate pavement performance prediction plays a critical role in formulating maintenance and repair strategies for transportation departments, enabling the achievement of better pavement performance...

Graph neural networks for travel distance estimation and route recommendation under probabilistic hazards

Estimating the shortest travel time and providing route recommendations between different locations in a city or region can quantitatively measure the conditions of the transportation network during...

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...

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...

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...

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...

When segment anything model meets inventorying of roadway assets

Automating the identification, localization, and monitoring of roadway assets distributed widely in the roadway network is critical for the traffic management system. It can efficiently provide up-to-date...

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...

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...

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...

Smartphone sensing for understanding driving behavior: Current practice and challenges

•Understanding of driving behavior based on smartphone data is the core of the paper.•An inclusive 4-step methodological framework is established for driving analytics.•The 4 steps are: Data collection,...

Truck acceleration behavior study and acceleration lane length recommendations for metered on-ramps

This paper investigated the actual truck acceleration capability at metered on-ramps. Truck acceleration performance data were collected through a video-based data collection method. A piecewise constant...

Characterizing dynamic modulus of styrene–butadiene–styrene (SBS) modified stone mastic asphalt (SMA) mixtures — An experimental evaluation and prediction using artificial neural networks

This study presents the dynamic modulus prediction of styrene–butadiene–styrene (SBS) modified stone mastic asphalt (SMA) wearing course using an asphalt mixture performance tester (AMPT). The experimental...

Factors and incentives that affect electric vehicle adoption in Greece

•Consumer intentions to purchase and also pay extra for an EV were analyzed.•Discrete choice models are developed to examine the factors that affect the adoption of EVs.•Provision of financial incentives...

Meta-analysis of driving behavior studies and assessment of factors using structural equation modeling

The aim of this paper is to understand the factors that influence unsafe driving practices by examining published studies that utilized the theory of planned behavior (TPB) to predict driving behavior....

State of the art in work zone safety: A systematic review

The ever-increasing number of accidents is detrimental to the sustainable objectives of work zones. Exploring the causes for work zone safety (WZS) issues, countermeasures, and effectiveness is significant...

Deployment of public charging stations for BEVs using an agent-based modeling approach

A low utilization rate of public chargers and unmatched deployment of public charging stations (CSs) are partly attributed to inappropriate modeling of charging behavior and biased charging demand estimation....

Advancements, prospects, and impacts of automated driving systems

Over the last decade, significant progress has been made in automated driving systems (ADS). Given the current momentum and progress, ADS can be expected to continue to advance and a variety of ADS...

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