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

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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Optimizing Multimodal Timetable Synchronization of Intercity Railway and Metro for the First Service Period during Holidays

Metro plays a vital role in managing passenger distribution at intercity railway (IR) stations, particularly during holidays when there is a surge in tourist traffic. To efficiently accommodate the...

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

Aging of binder affects the service life of flexible pavements. Aging involves change in physical, rheological, chemical and morphological characteristics of binder making it hard and brittle resulting...

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

Crosswalk presence data is 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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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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Design of flexible pavements through fuzzy inference system with genetic algorithm optimized rule base

In this paper, a novel method for the design of flexible pavements is elaborated. The method is based on fuzzy inference system with genetic algorithm (GA) aided optimized rule base. The model is founded...

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An approach of localizing MOVES to estimate emission factors of trucks

•Truck emission factors are important but difficult to estimate using current models.•Converting engine parameters to vehicle speed to address driving cycle differences.•Matching emission outcomes rather...

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Application of Conditional Deep Generative Networks (CGAN) in empirical bayes estimation of road crash risk and identifying crash hotspots

The conditional generative adversarial network (CGAN) is used in this paper for empirical Bayes (EB) analysis of road crash hotspots. EB is a well-known method for estimating the expected crash frequency...

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Do existing split failure metrics accurately reflect pedestrian operation at signalized intersections?

•An association between pedestrian delay and GOR or ROR5 was examined.•High-resolution data was used from the ATSPMs database.•There is very weak to no relationship between pedestrian delay and the...

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