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Abstract: |
This study presents an order exponential model for estimating road traffic safety in city clusters. The proposed model introduces the traffic flow intrinsic properties and uses the characteristics and regular patterns of traffic development to identify road traffic safety levels in city clusters. Additionally, an evaluation index system of city cluster road traffic safety was constructed based on the spatial and temporal distribution. Then Order Exponential Evaluation Model (OEEM), a comprehensive model using order exponent function for road traffic safety evaluation was put forward, which considers the main characteristics and the generation process of traffic accidents. The model effectively controlled the unsafe behavior of the traffic system. It could define the levels of city cluster road traffic safety and dynamically detect road safety risk. The proposed model was verified with statistical data from three Chinese city clusters by comparing the common model for road traffic safety with an ideal model. The results indicate that the order exponent approach undertaken in this study can be extended and applied to other research topics and fields. |
Key words: city cluster road traffic safety evaluation model order exponential function |
DOI:10.11916/j.issn.1005-9113.2019022 |
Clc Number:U491.1+15 |
Fund: |