Time-of-Day Distribution Patterns of Freeway Crash Frequency by Using Functional Data Analysis
碩士 === 國立交通大學 === 運輸與物流管理學系 === 105 === Previous studies in freeway crash frequency modeling mostly used of count models (e.g. Poisson and Negative Binomial models) to investigate the effect of risk factors (commonly adopted factors including geometric variables, traffic variables, and environment v...
Main Authors: | Yu, Sheng-Te, 游聲德 |
---|---|
Other Authors: | Chiou, Yu-Chiun |
Format: | Others |
Language: | zh-TW |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/m4hx6h |
Similar Items
-
Freeway Crash Frequency Modeling under the Time-of-Day Distribution
by: Sheng, Yu-Chun, et al.
Published: (2014) -
Investigating Spatial Autocorrelation and Spillover Effects in Freeway Crash-Frequency Data
by: Huiying Wen, et al.
Published: (2019-01-01) -
Effects of Speed-limits on Crash Frequency in Freeway Tunnels
by: Hsu, Shu-Ming, et al.
Published: (2017) -
Effect of Work Zone on Freeway Crash Frequency and Severity
by: Ou, Nai-Wei, et al.
Published: (2017) -
Freeway Crash Frequency Modeling with an Optimal Spatial Segmentation
by: Chung, Pei-Ju, et al.
Published: (2011)