How Expressway Geometry Factors Contribute to Accident Occurrence? A Binary Logistic Regression Study

Chen, Changkun; Wang, Yonggang; Cheng-xi, MA; Zhang, Wei

doi:10.3311/pptr.8795

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…To mention some of them. In Chen et al (2016) logistic regression and statistical method are combined to analyse accident data in order to find the relationship between highway geometric factors and accident rate. The results provide references to identify unsafe locations.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy expert system for road type identification and risk assessment of conventional two‐lane roads

2021

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This paper first presents a fuzzy expert system to identify and classify conventional two‐lane roads based on geometric characteristics. Both fuzzy and neuro‐fuzzy techniques have been used. Fuzzy logic has proved suitable to address this problem, since in this case, there is a variability of input information, and classical rules are not suitable to be used due to the uncertainty introduced by some combinations of the variables. Each road's geometric features were measured by sensors in an equipped vehicle, and are subsequently used to classify the roads according to their real condition. The conventional two‐lane roads used for this research are located in the Madrid Region, in Spain. This intelligent system may be used to update the road database regarding the assigned type to each conventional road, according to their present features and state. Also, a risk identification system has been developed to assess whether a vehicle is driving on a two‐lane road with an inappropriate speed, combining variables such as the former identification model, vehicle type, road longitudinal gradient, the angle covered by each horizontal curve, and the existence or not of an additional traffic lane. A fuzzy risk index is proposed for this approach. This fuzzy model may be useful to detect road sections where safety must be enhanced by revising the speed limit, since less safe situations may arise from travelling at unappropriated speeds.

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Section: Related Workmentioning

confidence: 99%