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

The Cooperative Inspection Routing Problem for Urban Environmental Management

Urban environmental management against air pollution is of critical importance to public health. Despite the proliferation of ubiquitous air quality sensors and advancement of information systems, an...

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Understanding the Influence of Affective and Restorative Potential of Built Environments on Intention and Walking Behavior

•A theory of planned behavior to determine factors influencing school walking trips.•Gender-based analysis of walking for school trips.•Environmental concerns and artificial environments have different...

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COM-Roundabout: The First Smart Commutable and Self-Regulating Roundabout for HDVs and CAVs

In the last decades, many new types of roundabouts and traffic regulation systems have been introduced in several countries. However, some issues related to their performance and safety remain. This...

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Optimized Deep Learning for Pedestrian Safety in Autonomous Vehicles

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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Intermediate-temperature cracking performance evaluation of asphalt mixtures

This study examines the influence of specimen thickness and air void content on asphalt cracking performance using the Multi-Stage Semi-Circular Bending Dynamic (MSSD) test and the Indirect Tensile...

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Investigating influential factors on railway passenger flow utilizing multi-source data fusion and flow space theory: A case study of the Yangtze River Delta megalopolis, China

Employing flow space theory and multi-source data, this study examines the spatial network structure and factors influencing railway passenger flow, which is crucial for rail planning in densely populated...

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Unravelling route choices of large trucks using trajectory clustering and conditional Logit models

The mobility of sizable trucks is often limited by their large size. They thus may have additional requirements on road types, road widths, and the turning radius at the intersection when travelling....

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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 miles per hour (mph, 1 mph equals about 1.609 344 km/h))....

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Exploring unobserved heterogeneity in ICT usage and travel pattern changes as the pandemic subsides: A quasi-longitudinal analysis in Florida

This paper presents a study that explored the behavioral heterogeneity of changes in people's information and communications technology (ICT) usage and travel patterns at the end of the pandemic. A...

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Mechanical response and numerical simulation of liquid soil abutment backfill

•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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Efficient implementation of a wavelet neural network model for short-term traffic flow prediction: Sensitivity analysis

•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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Measurement of public acceptance of TDM policies using public policy acceptance (PPA) and value belief norm (VBN) combination approach

One strategy to overcome the problem of imbalance between the demand and supply of road transportation that causes congestion is to apply transport demand management (TDM). TDM is a series of transportation...

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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

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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The influence of roadway characteristics and built environment on the extent of over-speeding: An exploration using mobile automated traffic camera data

Over-speeding is a pivotal factor in fatal traffic crashes globally, necessitating robust speed management strategies to augment road safety. In 2021, the National Highway Traffic Safety Administration...

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How to detect occluded crosswalks in overview images? Comparing three methods in a heavily occluded area

Crosswalk presence data are crucial for pedestrian safety and urban planning. However, obtaining such data at a large scale is often challenging due to the high cost associated with traditional collection...

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Performance characterization of long-term aged bitumen: Field and laboratory investigation

Aging of binder affects the service life of flexible pavements. Binder’s aging involves changes in its physical, rheological, chemical, and morphological characteristics, making it hard and brittle...

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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 gross domestic product (GDP) focused mainly on developed countries. This paper addresses an important gap in the literature by investigating...

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A weakly-supervised deep learning model for end-to-end detection of airfield pavement distress

Accurate and timely surveying of airfield pavement distress is crucial for cost-effective airport maintenance. Deep learning (DL) approaches, leveraging advancements in computer science and image acquisition...

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Leveraging public cloud infrastructure for real-time connected vehicle speed advisory at a signalized corridor

In this study, we developed a real-time connected vehicle (CV) speed advisory application that uses public cloud services, and tested it on a simulated signalized corridor for different roadway traffic...

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Examining causal factors of traffic conflicts at intersections using vehicle trajectory data

Conflict severity results from the complex interactions between the roadway and environmental characteristics and the vehicle motion. Understanding how and to what extent a vehicle is influenced by...

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An extended intelligent driving model for autonomous and manually driven vehicles in a mixed traffic environment with consideration to roadside crossing

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

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Fuzzy inference systems for discretionary lane changing decisions: Model improvements and research challenges

The lane changing decision model (LCDM) is a critical component in semi- and fully-automated driving systems. Recent research has found that the fuzzy inference system (FIS) is a promising approach...

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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...

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Physics-informed deep learning with Kalman filter mixture for traffic state prediction

Accurate traffic forecasting is crucial for understanding and managing congestion for efficient transportation planning. However, conventional approaches often neglect epistemic uncertainty, which arises...

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Electric bus fleets during urban flash floods: A mixed bus fleet strategy

Bus electrification is widely cited as a key technique to reduce carbon emissions and mitigate climate change. In some Chinese cities, the electrification rate of buses has even reached 100%. However,...

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