Built environment, driving errors and violations, and crashes in naturalistic driving environment

2021 ◽  
Vol 157 ◽  
pp. 106158
Author(s):  
Numan Ahmad ◽  
Behram Wali ◽  
Asad J. Khattak ◽  
Eric Dumbaugh
2016 ◽  
pp. 571-588
Author(s):  
Xiaoguang Wang ◽  
Lidia Kostyniuk ◽  
Michelle Barnes

This study demonstrates a segment-based approach to integrate GIS and GPS data to address questions about the connections between the built environment and travel behaviors. Methods and challenges of GPS/GIS integration are discussed, and an application integrating GPS naturalistic driving data from Southeast Michigan together with GIS data from several sources is demonstrated. The integrated dataset is used to explore connections between the built environment and driving behavior, specifically between business concentration, driving speed, vehicle stops and rear-end crashes. Driving speed, an important determinant of driver behavior linked to traffic safety, is found to be inversely related to business concentration, a pattern that does not vary by time of day. Rear-end crashes are found to increase with vehicle stops which increase with business concentration. This demonstration showed that fusing GPS and GPS data provides spatial intelligence which can be used to address planning, traffic safety, and transportation related issues.


2014 ◽  
Vol 5 (2) ◽  
pp. 11-29 ◽  
Author(s):  
Xiaoguang Wang ◽  
Lidia Kostyniuk ◽  
Michelle Barnes

This study demonstrates a segment-based approach to integrate GIS and GPS data to address questions about the connections between the built environment and travel behaviors. Methods and challenges of GPS/GIS integration are discussed, and an application integrating GPS naturalistic driving data from Southeast Michigan together with GIS data from several sources is demonstrated. The integrated dataset is used to explore connections between the built environment and driving behavior, specifically between business concentration, driving speed, vehicle stops and rear-end crashes. Driving speed, an important determinant of driver behavior linked to traffic safety, is found to be inversely related to business concentration, a pattern that does not vary by time of day. Rear-end crashes are found to increase with vehicle stops which increase with business concentration. This demonstration showed that fusing GPS and GPS data provides spatial intelligence which can be used to address planning, traffic safety, and transportation related issues.


Author(s):  
Patricia Tice ◽  
Sudipta Dey Tirtha ◽  
Naveen Eluru

Maintaining driver attention is critical in multimodal urban spaces where risks to vulnerable users are not borne by the drivers that impose them. However, without an understanding of what it is within the built environment that elicits appropriate driver attention, it will be difficult to reduce the escalating tide of pedestrian fatalities we currently are experiencing. This study uses eye glance data from a naturalistic driving study tabulated for on-task vs. off-task driving and detailed tabulations of environmental variables to identify which features within the built environment have a significant impact on driver attention. An econometric utility model was generated that identified corridor pavement width, reduced drivewayspacing, and linearly aligned street trees as design features that have a positive impact on driver attention.One-way streets, undelineated parking or unstriped bicycle lanes reduce drivers need to attend. Recommendations for maintaining driver attention within urban spaces are included.


CICTP 2020 ◽  
2020 ◽  
Author(s):  
Zhao Gao ◽  
Min Yang ◽  
Guoqiang Li ◽  
Jinghua Tai

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