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

Identifying the Key Factors of Intermodal Travel Using Interpretative Ensemble Learning

•Development of a novel interpretability-based ensemble learning model to identify key factors affecting intermodal travel•Differences in feature interpretability between the developed model and the...

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The Future of AI in Transportation: Challenges and Opportunities?

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Mechanical and Metallurgical Assessment of a Submerged Arc Welded Surfaced Rail

The surfaces of rails are often damaged during constant loading, so it is essential to repair the damaged areas in a railroad network to get the best performance. However, the traditional methods of...

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Understanding the Role of the COVID-19 Pandemic on Risky Driving Behavior and Injury Severity of Drivers: Embracing Heterogeneity in Means and Variances

The onset of the COVID-19 pandemic significantly altered global mobility patterns, leading to a marked decrease in travel activities worldwide. In the United States, travel demand fell notably, contributing...

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Exploring Intercity Travel Decision-Making in a Developing Country: Insights from Covid-19 Impacts in Iran

This study examines the impact of COVID-19 on intercity travel mode choices in Mazandaran province, Iran, addressing critical gaps in understanding how pandemics affect travel behavior in developing...

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An exploration of the preferences and mode choice behavior between autonomous demand-responsive transit and traditional buses

With the advancement in autonomous driving techniques, autonomous demand-responsive transit (ADRT) is a newly emerging sustainable transport mode for the future, which will provide more flexible services...

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Asphalt pavement surface repair area detection based on smartphone sensors

Asphalt pavement repair areas affect pavement performance and service levels. It is necessary to distinguish the repair areas from normal sections. Based on vehicle vibration signals, this study identified...

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Evaluating the impacts of major transportation disruptions – San Francisco Bay Area case study

The constraints of transportation networks are fundamental to disaster planning. Having the capability of evaluating the emergent dynamics of such networks in the context of large traffic incidents...

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Operational measures to maintaining physical distancing at railway stations

The corona virus disease 2019 (COVID-19) pandemic has increased awareness towards maintaining physical distancing during transportation-related activities. This study presents a microsimulation model...

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Modeling freight truck-related traffic crash hazards with uncertainties: A framework of interpretable Bayesian neural network with stochastic variational inference

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

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

•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

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

•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?

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

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

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

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

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

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

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

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

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

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

•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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