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

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...

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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...

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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...

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

The existing evidence on the economic burden of road accidents on GDP focused mainly on developed countries. This paper addresses an important gap in the literature by investigating into the impact...

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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...

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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...

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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...

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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...

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Classification of traffic accidents’ factors using TrafficRiskClassifier

The TrafficRiskClassifier model introduced in this study adopts an innovative approach that incorporates migration learning, image classification, and self-supervised learning, aiming to significantly...

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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

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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The future of AI in transportation: challenges and opportunities?

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Investigating e-grocery shopping behavior and its travel effect

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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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...

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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...

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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...

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Application of smart technologies in safety of vulnerable road users: A review

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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Traffic light detection using ensemble learning by boosting with color-based data augmentation

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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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...

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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,...

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Dynamic adaptive vehicle re-routing strategy for traffic congestion mitigation of grid network

•A kSP-inspired re-routing algorithm is proposed to mitigate traffic congestion.•A grid traffic network model is developed imitating actual traffic events.•This re-routing algorithm is simulated and...

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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...

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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...

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Airline efficiency and environmental impacts – Data envelopment analysis

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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Roles and functions of asphalt sub-ballast in the modern maintenance of the European railways

The railway network is increasingly becoming central to the socio-economic development and the decarbonisation of transport, supporting its growth in compliance with the emission reduction targets set...

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A study on airlines’ responses and customer satisfaction during the COVID-19 pandemic

The Coronavirus (COVID-19) pandemic outbreak has significantly impacted the airline industry worldwide. However, limited studies have systematically investigated the airlines' responses and customer...

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