Author:
Chang Haoliang,Xu Corey Kewei,Tang Tian
Reference81 articles.
1. Identifying vehicular crash high risk locations along highways via spatial autocorrelation indices and kernel density estimation;Abdulhafedh;World Journal of Engineering and Technology,2017
2. On bandwidth variation in kernel estimates-a square root law;Abramson;The Annals of Statistics,1982
3. Highlights of 2009 motor vehicle crashes, Traffic Safety Facts: Research Notes;Administration;Report No. DOT HS,2010
4. Afghari, A. P., Haque, M. M. & Washington, S. (2020). Applying a joint model of crash count and crash severity to identify road segments with high risk of fatal and serious injury crashes, Accident Analysis and Prevention 144, 105615. URL: doi: 10.1016/j.aap.2020.105615.
5. Bayesian latent class safety performance function for identifying motor vehicle crash black spots;Afghari;Transportation Research Record,2016
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献