Modeling freight truck-related traffic crash hazards with uncertainties: A framework of interpretable Bayesian neural network with stochastic variational inference
September 2024
Due to the increasing demand for goods movement, externalities from freight mobility have attracted much concern among local citizens and policymakers. Freight truck-related crash is one of these externalities...
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Single-vehicle roadway departure crashes at rural two-lane highway curved segments: A diagnosis using pattern recognition
September 2024
Curved segments account for a disproportionately high proportion of fatal and serious injury crashes, with most of these crashes occurring on rural two-lane (R2L) highways. During the 10-year period...
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Connected vehicle enabled hierarchical anomaly behavior management system for city-level networks
September 2024
•Develop a hierarchical traffic management system to reduce the risk of collisions caused by anomaly vehicles.•Provide a low-cost management system for city-level networks with a large number of vehicles.•Evaluate...
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Evaluation of aircraft random vibration under roughness excitation during taxiing
September 2024
The assessment of runway smoothness or roughness is intimately tied to the vibrational response of aircraft during taxiing. In this study, employing the pseudo excitation method (PEM) based on random...
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Risk quantification and prediction of non-driving-related tasks on drivers' critical intervention behavior in autonomous driving scenarios
September 2024
•A method to quantify and predict the risk of the critical intervention is introduced.•The no-driving task has the significant impact on the critical intervention.•The prediction method using visual...
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Are current microscopic traffic models capable of generating jerk profile consistent with real world observations?
September 2024
Microscopic behavior modeling plays a critical role in traffic flow analyais, simulation, and autonomous vehicle algorithm development. Numerous efforts are devoted to the development of it in both...
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Mechanistic evaluation of segregation in HMA mixtures
September 2024
Segregation in hot mix asphalt (HMA) mixtures is defined as the separation of the coarse aggregate particles in the mixtures from the rest of the mass. Segregation can be a result of aggregate stockpiling...
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Comparison of models with and without roadway features to estimate annual average daily traffic at non-coverage locations
September 2024
This study develops and evaluates models to estimate annual average daily traffic (AADT) at non-coverage or out-of-network locations. The non-coverage locations are those where counts are performed...
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Risk analysis of bridge maintenance accidents: A two-stage LEC method and Bayesian network approach
September 2024
Bridge maintenance is a long-term process that is prone to accidents. Identifying and reducing hidden dangers is crucial in decreasing the occurrence of such accidents. This study proposes a two-stage...
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Empirical investigation of shared space traffic: A comparison to conventional urban road environment
September 2024
Shared space is an unconventional concept that is not based on formal rules and standards, as it encourages road users to share the same road space with little physical or visual separation. Consequently,...
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A probabilistic reasoning approach to analyze the severity of single-vehicle crashes at mid-ramp locations
September 2024
Freeway ramps are one of the roadway elements that are considered as crash-prone sites with relatively more crashes per mile than other freeway segments. Among other crash types that occurred on freeway...
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A large-scale analytical residential parcel delivery model evaluating greenhouse gas emissions, COVID-19 impact, and cargo bikes
September 2024
The e-commerce industry has experienced significant growth in the past decade, particularly post-COVID. To accommodate such growth, the parcel delivery sector has also grown rapidly. However, there...
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Evaluation of false alarm alarms in truck FCW based on calibration of RSS model under different driving scenarios
September 2024
Advanced driver-assistance systems (ADASs), such as forward collision warning (FCW), are widely used and, in some countries, have been made mandatory for commercial vehicles. In practical applications,...
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Mining motif periodic frequent travel patterns of individual metro passengers considering uncertain disturbances
September 2024
Periodic pattern mining is of great significance for understanding passenger travel behavior, but the previous works mainly focused on the trajectory data and the dimension of the spot/point. Besides,...
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Measuring students’ satisfaction levels for transit services: An application of latent class analysis
September 2024
Past studies have identified the general public’s level of satisfaction with the service attributes of conventional fixed-route transit and ridesharing services, but few have limited their focus to...
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Investigating the dynamics of speed and acceleration at merging and diverging sections using UAV based trajectory data
September 2024
•UAV based high-quality trajectory data of toll plaza is used.•GEV distribution is found to be best fitted as per the K-S test for speeds at the toll plaza.•Lateral speeds are studied, and sections...
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Collaborative rescheduling of train timetables to relieve passenger congestions in an urban rail transit network: A rolling horizon approach
Available online 7 September 2024
At some urban rail transit (URT) stations, large activities, emergencies, or holidays usually lead to a significant surge in passenger flow demand quickly, known as Large Passenger Flow (LPF) events....
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Non-linear relationship between built environment and active travel: A hybrid model considering spatial heterogeneity
Available online 1 September 2024
Exploring the mechanisms between the built environment and active travel is crucial for promoting green transportation and fostering the sustainable development of cities. Existing literature focuses...
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Nighttime agglomerate fog event detection considering car light glare based on video
Available online 30 August 2024
Agglomerate fog event poses more serious threat than normal foggy weather to expressway traffic safety, due to its localized nature and suddenly uneven formation. However, vision-based fog detection...
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Evaluating the role of AI and empirical models for predicting regional economic growth and transportation dynamics: An application of advanced AI approaches
Available online 30 August 2024
The advent of the Artificial Intelligence (AI) age offers numerous potentials for predicting regional GDP growth and transportation dynamics. This article presents an in-depth overview of the AI and...
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Imporved model for pavement performance prediction based on recurrent neural network using LTPP database
Available online 26 August 2024
Accurate pavement performance prediction plays a critical role in formulating maintenance and repair strategies for transportation departments, enabling the achievement of better pavement performance...
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Electric vehicle (EV) type choice model: Latent class modelling (LCM) approach
Available online 22 August 2024
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...
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Investigation and optimization of short-term aging test conditions for asphalt binders
Available online 20 August 2024
The existing short-term aging test methods have disadvantages such as not being suitable for high viscosity modified asphalt, different aging degrees between them and poor testing convenience. Therefore,...
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Self-explaining analysis of facility environments on 2-lane rural roads with an improved lightweight CNN considering drivers’ visual perception
Available online 8 August 2024
•An improved lightweight CNN is presented to analyze the self-explaining function of facility environments on rural roads.•This improved lightweight CNN considers drivers’ visual perception characteristics.•Semantics...
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Modelling of Marshall stability of polypropylene fibre reinforced asphalt concrete using support vector machine and artificial neural network
Available online 6 August 2024
The present study assesses the proficiency of support vector machine (SVM) models utilizing four kernel functions namely normalized polynomial kernel function (SVM-NormPoly), radial basis kernel function...
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