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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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

Classification of traffic accidents’ factors using TrafficRiskClassifier

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...

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...

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...

Evaluation of equivalent axle load factors for multi axles based on fatigue tests using actual strain waveforms

Equivalent axle load factor (EALF) is used to characterize the fatigue damage effect of multi-axle loads on asphalt pavement. EALF is calculated as the ratio of the pavement’s fatigue resistance under...

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...

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 substantial potentials for predicting regional gross domestic product (GDP) growth and transportation dynamics. This article presents an in-depth...

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...

An approach of identifying and assessing the factors influencing traffic crashes: A combination of Exploratory Factor Analysis and Fuzzy Analytical Hierarchy Process

Preventing traffic accidents is a top priority worldwide, considering its extensive negative impact on people’s physical and mental health, the economy, and government expenditure. This research aims...

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...

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...

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,...

The impacts of COVID-19 pandemic on bus transit demand: A 30-month Naturalistic Observation in Jiading, Shanghai, China

The COVID-19 pandemic and subsequent government responses have had unprecedented effects on public transit (PT) demand. This paper presents a naturalistic observation of the Jiading bus transit system...

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...

Electric vehicle (EV) type choice model: Latent class modelling approach

This study develops a flexible latent class model (LCM) to investigate the electric vehicle (EV) type choice decisions of Halifax residents. It utilizes cross-sectional data from the 2022 Halifax Travel...

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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