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

Exploring the Operational Benefits of Transit Signal Priority: A Microsimulation-based Analysis

This study evaluated the operational performance of Transit Signal Priority (TSP) using a microscopic simulation approach. The analysis was based on a 10-mile study corridor in South Florida. Two microscopic...

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Factors and incentives that affect electric vehicle adoption in Greece

•Consumer intentions to purchase and also pay extra for an EV were analyzed.•Discrete choice models are developed to examine the factors that affect the adoption of EVs.•Provision of financial incentives...

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Evaluation of public transportation station area accessibility based on walking perception

•Key factors affecting pedestrian’s perception of time and distance to stations.•A pedestrian perceptual impedance model according to the choice-based conjoint analyses.•Evaluating station area accessibility...

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Probability distributions analysis of travel time variability for the public transit system

•Seven travel time distributions are considered in the study and their performance has been evaluated in both route level and segment level.•The impact of temporal aggregation on the travel time distribution...

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Mixed logit model based diagnostic analysis of bicycle-vehicle crashes at daytime and nighttime

Cycling provides an important alternative to environmental-friendly transportation modes in urban areas. However, cyclists are vulnerable road users and often suffer severe injuries once crashes occur,...

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Automatic topics extraction from crowdsourced cyclists near-miss and collision reports using text mining and Artificial Neural Networks

Cycling is an eco-friendly and sustainable mode of transportation. Despite its benefits, the cyclists’ risk of collision is still high when interacting with other road users. This study analyzed self-reported...

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Polishing behaviour of asphalt surface course containing recycled materials

Skid resistance is a key road safety factor indicating the provided friction of a pavement’s surface, which deteriorates over its service life mainly due to traffic polishing. Hence, the polishing behaviour...

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Developing empirical model with graphical tool to estimate and predict capacity of rural highway roundabouts

Transportation infrastructure plays a significant role in the economic growth of developing countries where heavy vehicles act as the backbone in transporting goods and people via highways. However,...

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Influence of in-vehicle crowding on passenger travel time value: Insights from bus transit in Shanghai, China

In-vehicle crowding is an external cost imposed on passengers by public transport. It is necessary to quantify the crowding discomfort to measure its influence on passengers’ travel choice. This study...

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Investigating impacts of various operational conditions on fuel consumption and stop penalty at signalized intersections

•Deriving stop penalty (K) of the performance index used to optimize traffic signals.•K value depends on fuel consumed during decelerating, accelerating, and idling phases.•Presenting operational conditions...

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Acceptability modeling of autonomous mobility on-demand services with on-board ride sharing using interpretable Machine Learning

Research on the factors that may affect the future uptake of autonomous Mobiliyt on Demand (MoD) services are today more than ever relevant. In this paper, we attempt to investigate all aspects of acceptability...

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Large-scale evaluation of pavement performance models utilizing automated pavement condition survey data

Pavement performance models are an essential component of a pavement management system (PMS) and have a direct impact on future pavement condition prediction, selection of pavement maintenance and rehabilitation...

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Applying an integrated approach to metro station satisfaction evaluation: A case study in Shanghai, China

Improving the service level of metro station is the key to attracting passengers to achieve sustainable development. The satisfaction evaluation approach from the passenger's point of view can intuitively...

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Analysis of pedestrian-related crossing behavior at intersections: A Latent Dirichlet Allocation approach

To study the intention behind pedestrian crossing behavior, this study extracts the trajectory data of vehicles and pedestrians from intersection videos. Based on the classic traffic conflict theory,...

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Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM

The cut-ins (one kind of lane-changing behaviors) have result in severe safety issues, especially at the entrances and exits of urban expressways. Risk prediction and characteristics analysis of cut-ins...

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Application of text mining techniques to identify actual wrong-way driving (WWD) crashes in police reports

•Identifying actual wrong-way driving (WWD) crashes from potential WWD crashes.•Implementing BERT model and five conventional classification algorithms.•Obtaining the best accuracy for BERT model compared...

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A study on airlines’ responses and customer satisfaction during the COVID-19 pandemic

The Coronavirus (COVID-19) pandemic outbreak has significantly impacted the airline industry worldwide. However, limited studies have systematically investigated the airlines' responses and customer...

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Exploring the need to model severity of single- and multi-occupant vehicles crashes separately: A case of crashes at highway-rail grade crossings

In recent years, traffic safety researchers have attempted to separate single-vehicle and multi-vehicle crashes when analyzing crash severity, considering the significant differences in the mechanism...

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The potential of changing habitual car user travel modes: The case of Czech towns

•The purpose of the research is to learn how to change car users’ behavior.•Using logistic regression and PCA, factors and attitudes affecting the travel mode choice were identified.•Case study of four...

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The impact of the combination equilibrium of horizontal and sag-vertical curves on safety

Safe and aesthetic interaction between horizontal and vertical alignment may significantly occur when they are combined or closed to each other resulting in safety problems. Previous researches have...

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Exploring the endogenous effects among car dependency, work arrangement choice, and daily travel using the 2017 NHTS data

The paper presents an effort in investigating the cause-effect relationships among telecommuting, car dependency, and trip making behavior. Data from the 2017 National Household Travel Survey (NHTS)...

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A data mining approach for traffic accidents, pattern extraction and test scenario generation for autonomous vehicles

To effectively fight against traffic accidents, it is of great importance to analyse and understand the conditions that are linked with accidents. Such an analysis can serve as the basis to (i) develop...

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Using supervised machine learning algorithms in pavement degradation monitoring

•Dynamic pavement monitoring system using vibration-based method.•Noise cancelling and vibration data smoothing.•Degradation detection and classification using machine learning....

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Identifying and prioritizing bridges critical to commerce: A case study of weight-restricted bridges in North Carolina

•Bridges are critical nodes in commerce freight networks.•Weight-restricted bridges may not receive dedicated sources of funding.•Bridge criticality scores based on modeled traversal and detour metrics.•Objective,...

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Investigating traffic and controller factors in spatial multitasking: The context of air traffic conflict resolution

Air traffic control (ATC) operations including conflict detection and resolution mainly consist of spatial and multi tasks. The analysis of gender differences in performing spatial and multi tasks in...

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