A new spatial segmentation method to modelling freeway crash frequency

Yu-Chiun Chiou, Lawrence W. Lan, De Cheng Liu, Chiang Fu

研究成果: Conference contribution同行評審

摘要

Due to roadway heterogeneity, it is essential to divide a study network into an appropriate number of segments prior to modelling the crash frequency of that network. To this end, this study proposes a genetic algorithm (GA)-based segmentation method to determine the optimal number of spatial segments and then introduces appropriate count models to estimate the crash frequency on the network. The logic of the proposed GA-based segmentation method is to divide a study network into smallest spatial units (say, 1km), and then cluster the neighbouring spatial units with similar crash occurring patterns into a newly-formed segment, keeping the crash occurring patterns among the formed segments as diverse as possible. The empirical results from Taiwan freeway case study has validated the proposed GA-based segmentation method and the results show that the Negative Binomial model with the proposed segmentation method has outperformed over the other two segmentation methods-Fixedlength method and Interchange method.

原文English
主出版物標題Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure
編輯Z. Leng, Y. H. Wang
發行者Hong Kong Society for Transportation Studies Limited
頁面117-124
頁數8
ISBN(電子)9789881581433
出版狀態Published - 12月 2014
事件19th International Conference of Hong Kong Society for Transportation Studies: Transportation and Infrastructure, HKSTS 2014 - Hong Kong, China
持續時間: 13 12月 201415 12月 2014

出版系列

名字Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure

Conference

Conference19th International Conference of Hong Kong Society for Transportation Studies: Transportation and Infrastructure, HKSTS 2014
國家/地區China
城市Hong Kong
期間13/12/1415/12/14

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