Pedestrians influence on the traffic flow parameters and road safety indicators at the pedestrian crossing

Chebanyuk, Kateryna; Прасоленко, О.В.; Burko, Dmytro; Galkin, Andrii; Lobashov, Oleksii; Shevchenko, Anastasia; Usami, Davide Shingo; Persia, Luca

doi:10.1016/j.trpro.2020.02.083

Cited by 15 publications

(5 citation statements)

References 13 publications

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“…Previous studies have defined road safety indicators [15][16][17][18][19][20] and have examined influential factors affecting road safety indicators [19,21,22]. For example, Anastasopoulos and Mannering [23] consider the effect of pavement, traffic, and geometric characteristics on crash injury severity by using random-parameter logit and fixed-parameter logit models.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial‐Temporal Analysis of Crash Severity: Multisource Data Fusion Approach

Taheri

Rasaizadi

Seyedabrishami

2022

Discrete Dynamics in Nature and Society

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High severity crashes are one of the negative consequences of suburban transportation for a range of factors. Fatalities, injuries, and medical costs, as well as road and car damage and mental side effects, are more important consequences of severe crashes. The goal of this research is to figure out what factors contribute to different crash severity levels, in order to reduce the likelihood of such crashes. This study is unique in that it tries to investigate the capabilities of various discrete choice methods in order to explore which one performs best given the current database and research restrictions. Furthermore, the data fusion approach allows this study to take advantage of a wide range of characteristics that influence crash severity. To achieve this objective, the current study used several types of discrete choice models, such as ordered logit (OL), multinominal logit (MNL), and mixed logit (ML) models, to examine the factors influencing the severity of crashes in the suburban highway area. The data are related to crashes and traffic counters in Khorasan Razavi province in the northeast of Iran. Spatial-temporal analysis of crash data with a data fusion approach has been conducted to prepare a multisource data set with a wide spectrum of independent variables to acquire reliable results using logit models. Independent descriptive variables include geometric design, time-related, weather and environmental conditions, land use, traffic attributes, vehicle characteristics, and driver characteristics. ML provided the best fit with the available data set when compared to other discrete choice techniques. In addition, in all three logit models, coefficients of geometric design, vehicle characteristics, driver characteristics, land use, and weather and environmental conditions are significant, demonstrating the significance of using multisource data in defining factors impacting crash severity.

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Section: Literature Reviewmentioning

confidence: 99%

Spatial‐Temporal Analysis of Crash Severity: Multisource Data Fusion Approach

Taheri

Rasaizadi

Seyedabrishami

2022

Discrete Dynamics in Nature and Society

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“…Typically, a sensory stimulus causes a behavioral reaction that depends on a personality [68]. Pedestrian response can be characterized as the product of reaction and stimuli [69], [70] reaction × stimuli.…”

Section: Pedestrian Dynamics Modelingmentioning

confidence: 99%

Pedestrian Traffic Characterization Based on Pedestrian Response

et al. 2022

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Pedestrian behavior is studied during normal and emergency evacuation of two groups of students. One group consists of grade nine high school students while the other group includes diploma (college) students. The evacuation time, number of steps, step frequency, and velocity are observed. It is found that the number of steps, step frequency, and velocity are larger during an emergency evacuation. These results are used to develop a macroscopic pedestrian response model. This model is compared with the Lighthill, Whitham, and Richards (LWR) model for pedestrian traffic using the First Order Centered (FORCE) scheme. Pedestrian parameters from the experiments are used for model evaluation. The direction of pedestrian movement is changed multiple times to observe pedestrian alignment behavior. It has been found that the proposed model performs more realistically than the LWR model.

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“…Cyclists often become participants in road accidents, since not all streets have separate paths for their movement. The overwhelming majority of these accidents are caused by the intersection of pedestrian, bicycle and transport routes [4].…”

Section: Analysis Of the Current State Of The City's Road Networkmentioning

confidence: 99%

Formation of a comfortable transport infrastructure for cyclist traffic in the tourist area of Kazan

Ibragimova

Petropavlovskikh

2021

E3S Web Conf.

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This article examines the issue of cycling in Russian cities on the example of the city of Kazan. The authors come to the conclusion that the existing bicycle zones in Kazan aren’t connected to each other and don’t intersect complex transport hubs with high traffic intensity, therefore, cycling around the city isn’t safe and comfortable. As a solution to this problem, the idea of a new combined overpass, combining a pedestrian and roadway for cyclists, is presented. In addition, it’s proposed to develop the street and road network of the city of Kazan, through the construction of new bicycle paths. The combined overpass will allow for a more rational redirection of the city's traffic flows, ensure the safety of high-speed traffic and create comfortable conditions for the city's population. The construction of a bicycle path will reduce the total traffic load on the city's roads, and ensure safe movement for citizens in the central part of the city. Thus, the need to introduce and develop bicycling in our city, which entails planning not only bicycle paths, but also the construction of other transport infrastructure facilities for comfortable crossing of transport hubs with high traffic intensity by cyclists, seems obvious.

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Pedestrians influence on the traffic flow parameters and road safety indicators at the pedestrian crossing

Cited by 15 publications

References 13 publications

Spatial‐Temporal Analysis of Crash Severity: Multisource Data Fusion Approach

Spatial‐Temporal Analysis of Crash Severity: Multisource Data Fusion Approach

Pedestrian Traffic Characterization Based on Pedestrian Response

Formation of a comfortable transport infrastructure for cyclist traffic in the tourist area of Kazan

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