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Analysis of vehicle-bicycle interactions at unsignalized crossings: A probabilistic approach and application
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.ORCID iD: 0000-0002-7080-5176
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering. Northeastern University, United States.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
2016 (English)In: Accident Analysis and Prevention, ISSN 0001-4575, E-ISSN 1879-2057, Vol. 97, 38-48 p.Article in journal (Refereed) Published
Abstract [en]

In the last decades, bicycle usage has been increasing in many countries due to the potential environmental and health benefits. Therefore, there is a need to better understand cyclists’ interactions with vehicles, and to build models and tools for evaluating multimodal transportation infrastructure with respect to cycling safety, accessibility, and other planning aspects. This paper presents a modeling framework to describe driver-cyclist interactions when they are approaching a conflicting zone. In particular, the car driver yielding behavior is modeled as a function of a number of explanatory variables. A two-level hierarchical, probabilistic framework (based on discrete choice theory) is proposed to capture the driver’s yielding decision process when interacting with a cyclist. The first level models the probability of the car driver perceiving a situation with a bicycle as a potential conflict whereas the second models the probability of yielding given that a conflict has been perceived by the driver. The framework also incorporates the randomness of the location of the drivers’ decision point. The methodology is applied in a case study using observations at a typical Swedish roundabout. The results show that the conflict probability is affected differently depending on the user (cyclist or driver) who arrives at the interaction zone first. The yielding probability depends on the speed of the vehicle and the proximity of the cyclist.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 97, 38-48 p.
Keyword [en]
Vehicle-bicycle interaction, Cyclist safety, Yielding behavior, Unsignalized intersection, Roundabout, Logit model, Maximum likelihood estimation
National Category
Transport Systems and Logistics
Research subject
Transport Science
Identifiers
URN: urn:nbn:se:kth:diva-192586ISI: 000390634300004Scopus ID: 2-s2.0-84989298229OAI: oai:DiVA.org:kth-192586DiVA: diva2:971182
Note

QC 20160923

Available from: 2016-09-15 Created: 2016-09-15 Last updated: 2017-02-14Bibliographically approved
In thesis
1. Advancing Traffic Safety: An evaluation of speed limits, vehicle-bicycle interactions, and I2V systems
Open this publication in new window or tab >>Advancing Traffic Safety: An evaluation of speed limits, vehicle-bicycle interactions, and I2V systems
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Since the introduction of motor vehicles, the number of fatalities and accidents has been a concern for society.The number of fatalities on roads is amongst the most common causes of mortality worldwide (WHO, 2015).Even in industrialized countries the number of fatalities remains unacceptable. Therefore, in the last decades, anumber of approaches have emerged to support and boost traffic safety towards a system free from fatalities andserious impairment outcomes. ‘Sustainable Safety’ and ‘Vision Zero’ are well-known examples aiming to avoidfatalities within the traffic system and reduce injury severity when a traffic accident is inevitable. However, thenumber of fatalities and seriously injured accidents are still relatively high. More specifically, vulnerable roadusers remain involved in fatal and serious accidents even in industrialized countries. Therefore, further advancesin traffic safety studies are needed. This thesis aims at evaluating the impact of road characteristics, traffic rulesand information provision towards a safer traffic system. The thesis is composed of five scientific papers whichsummarizes the main contributions of this work.

Place, publisher, year, edition, pages
Stockholm: KTH, 2016. 20 p.
Series
TRITA-TSC-PHD, 16-008
Keyword
Traffic safety, urban roads, posted speed limits, road characteristics, free-flow speed, time headway, vehicle-bicycle interactions, logit model, yielding probability, cooperative systems and warning messages.
National Category
Transport Systems and Logistics
Research subject
Transport Science
Identifiers
urn:nbn:se:kth:diva-195640 (URN)978-91-87353-94-9 (ISBN)
Public defence
2016-12-16, Kollegiesalen, Brinellvägen 8, Stockholm, 14:00 (English)
Opponent
Supervisors
Note

QC 20161109

Available from: 2016-11-09 Created: 2016-11-07 Last updated: 2016-11-10Bibliographically approved

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