A systematic literature review of defect detection in railways using machine vision-based inspection methods
June 2025
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...
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Indian traffic sign detection and recognition using deep learning
September 2023
•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...
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The economic burden of road traffic accidents and injuries: A small island perspective
March 2025
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...
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Estimation of Passenger Car Unit on urban roads: A literature review
September 2021
•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...
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In-situ resources for infrastructure construction on Mars: A review
March 2022
•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...
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Understanding the effects of structural factors and traffic loading on flexible pavement performance
March 2023
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...
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Classification of traffic accidents’ factors using TrafficRiskClassifier
March 2025
The TrafficRiskClassifier model proposed in this study adopts an innovative approach integrating migration learning, image classification, and self-supervised learning, with the goal of significantly...
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Origin-destination inference in public transportation systems: A comprehensive review
March 2023
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...
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Application of permeable pavements in highways for stormwater runoff management and pollution prevention: California research experiences
December 2019
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...
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Application of smart technologies in safety of vulnerable road users: A review
June 2025
Road safety is the most important feature of a modern city, and it affects almost everyone in the community, especially vulnerable road users (VRUs). This paper comprehensively examines existing scientific...
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Transport accessibility for wheelchair users: A qualitative analysis of inclusion and health
June 2019
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...
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Advancements, prospects, and impacts of automated driving systems
September 2017
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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Truck acceleration behavior study and acceleration lane length recommendations for metered on-ramps
October 2016
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...
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Factors and incentives that affect electric vehicle adoption in Greece
December 2023
•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...
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Investigating e-grocery shopping behavior and its travel effect
March 2024
Since the adoption rate of e-grocery skyrocketed in the wake of the Covid-19 pandemic due to the influx of first-time e-grocery shoppers, grocery shopping behavior has been evolving and the travel effects...
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Evaluating the role of AI and empirical models for predicting regional economic growth and transportation dynamics: An application of advanced AI approaches
Available online 30 August 2024
The advent of the Artificial Intelligence (AI) age offers numerous potentials for predicting regional GDP growth and transportation dynamics. This article presents an in-depth overview of the AI and...
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Optimized deep learning for pedestrian safety in autonomous vehicles
Available online 11 April 2025
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...
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Traffic light detection using ensemble learning by boosting with color-based data augmentation
Available online 8 November 2024
Recent advancements in deep neural networks have significantly improved the detection and recognition of traffic lights for advanced driver assistance systems (ADAS). Traditional methods often rely...
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Airline efficiency and environmental impacts – Data envelopment analysis
June 2023
Airline efficiency has been a research interest for decades. While early airline efficiency research focused primarily on revenue generation and profitability, growing airline social responsibility...
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Simulation study on effect of permeable pavement on reducing flood risk of urban runoff
December 2019
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...
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Efficient implementation of a wavelet neural network model for short-term traffic flow prediction: Sensitivity analysis
March 2025
•Prediction of traffic flow under weekdays and weekends.•Wavelet neural networks are found to provide the best fit.•DWT provides greater flexibility to understand the behavior of traffic in the time-frequency...
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A state-of-the-art survey of deep learning models for automated pavement crack segmentation
March 2024
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...
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Mechanical response and numerical simulation of liquid soil abutment backfill
March 2025
•It is proposed to backfill the abutment back of the underpass of the airport with liquid soil, and its specific mix proportion is given.•The three-dimensional finite element model of the underpass...
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Enhancing autonomous vehicle safety: An Integrated Ensemble Learning-Logit Model for accident severity prediction and analysis
Available online 19 March 2025
•Developed an Integrated Ensemble Learning −Logit Model for predicting autonomous vehicle accident severity.•High-level automation systems (SAE 3–5) significantly reduce accident severity compared to...
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Quantifying the impacts of right-turn-on-red, exclusive turn lanes, and pedestrian movements on the efficiency of urban transportation networks
March 2025
Previous studies demonstrated that restricting left turning movements can enhance transportation network efficiency. However, this strategy can lead to significant increases in the volume of right-turn...
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