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ISSN: 2046-0430
e-ISSN: 2046-0449

Injury severity analysis of rural vehicle crashes involving familiar and unfamiliar drivers

Familiar and unfamiliar drivers may exhibit different behaviours in response to the road environment. Overall familiarity with the road environment is a human factor believed to play a role in road...

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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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State of the art in work zone safety: A systematic review

The ever-increasing number of accidents is detrimental to the sustainable objectives of work zones. Exploring the causes for work zone safety (WZS) issues, countermeasures, and effectiveness is significant...

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Research on key risk chain mining method for urban rail transit operations: A new approach to risk management

•The H-Apriori association rule algorithm based on hazard degree weights is proposed.•A method for mining key risk chains in urban rail transit operation based on complex network theory is proposed.•Using...

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Real-time risk assessment of aircraft landing based on finite element-virtual prototype-machine learning co-simulation on wet runways

The safety of aircraft landing on wet runways is of great importance in runway risk management. In order to ensure landing safety on wet runways, real-time risk warning is required. This paper proposes...

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Advancing and lagging effects of weather conditions on intercity traffic volume: A geographically weighted regression analysis in the Guangdong-Hong Kong-Macao Greater Bay Area

With the rapid expansion of urban areas, intercity highways have become crucial for daily transportation. Traffic administrators and planners increasingly rely on evaluating highway traffic volume....

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Impact of connected and automated vehicles on the travel time reliability of an urban network

Connected and automated vehicles (CAVs) have the potential to revolutionise the transportation industry, with a plethora of research already revealing considerable gains in safety, travel time and mobility,...

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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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Unveiling the influential factors for customized bus service reopening from naturalistic observations in Shanghai

•Naturalistic observations of CB operation status before and after COVID-19.•Exploration of influential factors affecting the in-practice decision-making process.•Consistent findings from discrete choice...

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Identification of optimal locations of adaptive traffic signal control using heuristic methods

Adaptive Traffic Signal Control (ATSC) adjusts signal timings to real-time traffic measurements, increasing operational efficiency within a network. However, ATSC is both expensive to install and operate...

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Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections

When there are multiple lanes to choose from downstream of a turning movement, drivers should choose the innermost lane so that drivers at other approaches of the intersection may make concurrent turning...

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An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

•Instant delivery operations are inherently characterized by dynamics and uncertainties.•Task buffering and dynamic batching strategies are proposed to tackle the demand uncertain and reduce the delivery...

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Factoring in temporal variations of public transit-based healthcare accessibility and equity

Access to healthcare services using public transportation (PT-based healthcare accessibility) is a crucial aspect in achieving healthcare equity as it affects individuals’ ability to receive healthcare....

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State space model detection of driving fatigue considering individual differences and time cumulative effect

Fatigue is an important cause of traffic crashes, and effective fatigue detection models can reduce these crashes. Research has found large differences in fatigued driving performance from driver to...

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Does the minimization of the average vehicle delay and the minimization of the average number of stops mean the same at the signalized intersections?

Signal timings at signalized intersections are frequently optimized by considering commonly used vehicle delay models. It is generally believed that reducing the average number of stops can also decrease...

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An Empirical Study on the Stochastic Long-term Travel Demands of a Large-Scale Metro Network

The widely-existed uncertainty of origin–destination (OD) demand in transportation networks has attracted extensive attention. Most characterizations or modeling of stochastic OD demands in networks...

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Data-Driven Statewide Prioritization of Corridors for Signal Retiming Projects

While the introduction of emerging technologies has substantially improved the way traffic signals are operated, most agencies still rely on the traditional approach of retiming, which is typically...

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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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Predictive models for road traffic sign: retroreflectivity status, retroreflectivity coefficient, and lifespan

This study addresses the critical safety issue of declining retroreflectivity values of road traffic signs, which can lead to unsafe driving conditions, especially at night. The paper aims to predict...

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Measurement of public acceptance of TDM policies using combination of public policy acceptance (PPA) and value belief norm (VBN) 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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Efficient Implementation of a Wavelet Neural Network Model for Short-Term Traffic Flow Prediction: Sensitivity Analysis

•Prediction of traffic flow under weekdays and weekends.•Performance of the hybrid method WNN to improve the accuracy.•DWT provides a greater flexibility to understand the behavior of traffic periodicity.•Traffic...

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Vehicle carbon emission estimation for urban traffic based on sparse trajectory data

•Proposed a vehicle carbon emission estimation method for sparse trajectory data.•Sparse trajectory data includes data with different sampling frequencies.•Proposed a trajectory reconstruction method...

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Neural network surrogate models for aerodynamic analysis in truck platoons: Implications on autonomous freight delivery

•Proposed a generalized surrogate model for different truck platoon configurations.•Fuel saving is up to 10% autonomous truck platooning.•Compared autonomous truck delivery vs. conventional trucking...

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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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Impacts of characteristics of service facilities in metro station area on housing prices

•The development of metro stations stimulates the growth of housing prices.•Service facilities have a nonlinear threshold effect on housing prices.•The gradient boosting decision tree model can better...

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