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

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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An Extended Intelligent Driving Model for Autonomous and Manual Driven Vehicles in a Mixed Traffic Environment with Consideration to Roadside Crossing

While the advantages of AVs and their impact on manual-driving vehicles (MVs) have been widely discussed in continuous flow conditions, their performance under mixed traffic, intermitted flow conditions...

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Exploring the spatial relationship between urban built environment and green travel: An improved semi-parametric GWR approach

Public transit and non-motorized travel offer numerous environmental, social and public health benefits....

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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...

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Freeway merging trajectory prediction for automated vehicles using naturalistic driving data

Due to differences in speed and the complex interaction between merging and through-lane vehicles at freeway merging sections, crashes involving both human drivers and automated vehicles (AVs) persist....

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Investigation of factors affecting crash severity of rear-end crashes with high collision speeds in work zones: A South Carolina case study

The aim of this study is to identify factors that affect injury severity levels of work zone rear-end crashes with high collision speeds (⩾35 mi/hr). Using statewide crash data provided by the South...

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Graph convolutional LSTM algorithm for real-time crash prediction on mountainous freeways

•Proposes hourly crash prediction models enabling proactive measures by network operators.•Introduces a novel GCN-LSTM model to comprehensively model complex spatiotemporal relationships in crash data.•Demonstrates...

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Assessment of Flooding Impact on Thin Pavement Structure in Texas Coastal Region

Over the recent years, transportation infrastructure in the United States have experienced numerous hurricanes or tropical storms usually accompanied with heavy rainfalls. This may lead to flooding...

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Predicting hazard degree levels of metro operation accidents based on ordered constraint Apriori-RF method

•Proposed a method for quantifying the hazard degree of metro operation accidents.•Improved the traditional Apriori algorithm with ordered constraint to enhance its effectiveness and accuracy.•An ordered-constrained...

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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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Carbon-emission calculation method during operation period based on asphalt pavement performance

Current vehicle carbon emission models tend to ignore the influence of road roughness on driving speed selection, which may damage the carbon emission evaluation accuracy. In this study, first, based...

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Exploring operational characteristics of stop-controlled T-intersections on rural two-lane highways with passing lanes

Left turn traffic at unsignalized T-intersection on undivided rural two-lane high-speed highways poses both operational and safety challenges. More complexities are faced by through drivers in the same...

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Empirical analysis of traffic flow characteristics at variable approach lanes

It is interesting that despite its long-term and widespread use in China, relatively little is known about the operational characteristics of a variable approach lane (VAL) in real world. Using one...

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A theoretical model for evaluating the impact of connected and autonomous vehicles on the operational performance of turbo roundabouts

•A criterion for estimating the capacity under partial and fully automated vehicles environments is presented.•A control area was hypothesized where CAVs start to communicate with a turbo roundabout...

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Traffic demand prediction using a social multiplex networks representation on a multimodal and multisource dataset

In this paper, a meaningful representation of the road network using multiplex networks and a novel feature selection framework that enhances the predictability of future traffic conditions of an entire...

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Application of noise-cancelling and smoothing techniques in road pavement vibration monitoring data

•Noise-canceling techniques for pavement vibration data.•Data smoothing methods for enhancing the vibration signals.•Vibration-based method for evaluation and prediction of the road pavement condit...

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Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey

Motor vehicle crashes are the leading cause of the death of teenagers in the United States. Young drivers have shown a higher propensity to get involved in crashes due to using a cellphone while driving,...

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Understanding non-motorists' views on automated vehicle safety through Bayesian network analysis and latent dirichlet allocation

Automated vehicles (AVs) hold great promise for creating a safer, more efficient, more equitable, and more sustainable transportation system. However, the rapid adoption of AVs requires a thorough understanding...

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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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Traffic flow modelling of long and short trucks using a hybrid artificial neural network optimized by particle swarm optimization

•The availability of traffic flow variables is significant in modelling the traffic volume of long and short trucks.•Artificial neural network optimized by particle swarm optimization model(ANN-PSO)...

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Exploring the effects of work zone on vehicular flow on ring freeways with a tunnel using a three-lane continuum model

Freeway work zone forms as a result of traffic crash or road rehabilitation. To ascertain the effects of work zone with lane II completely blocked on vehicular flow on ring freeways with a tunnel, a...

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Geotechnical properties of cohesive soils used in the construction of subgrade for the development of the railways in the Azov-Black Sea region

This work is devoted to the determination and systematization of the properties of clay soils used in the construction of new railway tracks in order to develop the railway network in the Azov-Black...

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Morphological and rheological investigation of emulsified asphalt/polymer composite based on gray-level co-occurrence matrix

Emulsified asphalt/polymer is one of the most applied composite materials in pavement industry, which is also defined as emulsified polymer modified asphalt (PMA). PMA exhibits the transition behavior...

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Factors affecting paratransit travel time at route and segment levels

Paratransit users have reportedly been unsatisfied with the quality of service that they receive. Efforts at replacing the service or formalizing operations to meet users’ mobility needs have faced...

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Examining channel choice preferences for grocery shopping during the Covid-19 pandemic

Research on grocery shopping channel preferences has been growing in the wake of the Covid-19 pandemic. However, few studies have utilized the discrete choice experiment (DCE) to elicit choices in hypothetical...

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