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Open AccessArticle

Crash Risk Prediction Modeling Based on the Traffic Conflict Technique and a Microscopic Simulation for Freeway Interchange Merging Areas

School of Transportation, Southeast University, Si Pai Lou #2, Nanjing 210096, China
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Academic Editors: Suren Chen and Feng Chen
Int. J. Environ. Res. Public Health 2016, 13(11), 1157; https://doi.org/10.3390/ijerph13111157
Received: 31 August 2016 / Revised: 2 November 2016 / Accepted: 15 November 2016 / Published: 19 November 2016
(This article belongs to the Special Issue Traffic Safety and Injury Prevention)
This paper evaluates the traffic safety of freeway interchange merging areas based on the traffic conflict technique. The hourly composite risk indexes (HCRI) was defined. By the use of unmanned aerial vehicle (UAV) photography and video processing techniques, the conflict type and severity was judged. Time to collision (TTC) was determined with the traffic conflict evaluation index. Then, the TTC severity threshold was determined. Quantizing the weight of the conflict by direct losses of different severities of freeway traffic accidents, the calculated weight of the HCRI can be obtained. Calibration of the relevant parameters of the micro-simulation simulator VISSIM is conducted by the travel time according to the field data. Variables are placed into orthogonal tables at different levels. On the basis of this table, the trajectory file of every traffic condition is simulated, and then submitted into a surrogate safety assessment model (SSAM), identifying the number of hourly traffic conflicts in the merging area, a statistic of HCRI. Moreover, the multivariate linear regression model was presented and validated to study the relationship between HCRI and the influencing variables. A comparison between the HCRI model and the hourly conflicts ratio (HCR), without weight, shows that the HCRI model fitting degree was obviously higher than the HCR. This will be a reference to design and implement operational planners. View Full-Text
Keywords: traffic safety; traffic conflict; traffic simulation; interchange merging area traffic safety; traffic conflict; traffic simulation; interchange merging area
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MDPI and ACS Style

Li, S.; Xiang, Q.; Ma, Y.; Gu, X.; Li, H. Crash Risk Prediction Modeling Based on the Traffic Conflict Technique and a Microscopic Simulation for Freeway Interchange Merging Areas. Int. J. Environ. Res. Public Health 2016, 13, 1157.

AMA Style

Li S, Xiang Q, Ma Y, Gu X, Li H. Crash Risk Prediction Modeling Based on the Traffic Conflict Technique and a Microscopic Simulation for Freeway Interchange Merging Areas. International Journal of Environmental Research and Public Health. 2016; 13(11):1157.

Chicago/Turabian Style

Li, Shen; Xiang, Qiaojun; Ma, Yongfeng; Gu, Xin; Li, Han. 2016. "Crash Risk Prediction Modeling Based on the Traffic Conflict Technique and a Microscopic Simulation for Freeway Interchange Merging Areas" Int. J. Environ. Res. Public Health 13, no. 11: 1157.

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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