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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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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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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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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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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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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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Agent-based models for simulating e-scooter sharing services: A review and a qualitative assessment

E-scooter sharing services have grown exponentially in many cities of the world within the last 10 years, mainly with the goal to serve first/last mile trips. Compared to other shared mobility modes...

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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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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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Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis

The consequences of flight delay can significantly impact airports’ on‐time performance and airline operations, which have a strong positive correlation with passenger satisfaction. Thus, an accurate...

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Realtime wide-area vehicle trajectory tracking using millimeter-wave radar sensors and the open TJRD TS dataset

•A system based on millimeter wave radar is introduced for tracking vehicles.•Trajectory splicing is applied for tracking vehicles in wide-area level.•Validation results show a reliable and stable performance...

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Weather and surface condition detection based on road-side webcams: Application of pre-trained Convolutional Neural Network

Adverse weather has long been recognized as one of the major causes of motor vehicle crashes due to its negative impact on visibility and road surface. Providing drivers with real-time weather information...

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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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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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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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Inland Waterway Transportation (IWT) in Ghana: A case study of Volta Lake Transport

Water bodies have been an amazing mode of transport for carrying people and/or goods within and across regional, national and continental borders. Hitherto, a lot of countries still depend on inland...

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Emerging technologies and policies for carbon–neutral transportation

Many countries and regions across the world have been actively implementing their commitments to achieve carbon neutrality in response to the 2030 Agenda for Sustainable Development and the Paris Agreement...

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Pavement distress detection using convolutional neural network (CNN): A case study in Montreal, Canada

•Montreal Pavement Dataset includes four distress types and marking, clean images.•Model with Batch Normalization and lower rate of Dropout has the best performance.•The Convolutional Neural Network...

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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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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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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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Exploring willingness to use shared autonomous vehicles

•Insights about individual travel behavior after integrating SAVs into the existing transportation systems.•Most SAV users are young Asian individuals and students from low-income households.•Sociodemographic...

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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...

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A large-scale analytical residential parcel delivery model evaluating greenhouse gas emissions, COVID-19 impact, and cargo bikes

The e-commerce industry has experienced significant growth in the past decade, particularly post-COVID. To accommodate such growth, the parcel delivery sector has also grown rapidly. However, there...

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Ergonomic factors affecting comprehension levels of traffic signs: A critical review

•Results indicate high variability in the comprehension levels of traffic signs.•Some traffic signs are comprehended only in specific contexts and some are not comprehended at all.•The use of Ergonomic...

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