Prediction of Traffic Accident Duration and Vehicle Queue Length – Case Study of National Freeway No.5 in Taiwan
碩士 === 國立成功大學 === 交通管理科學系 === 102 === Traffic accident occurrence on freeway is the main cause that affects travel time anticipated. Accurate travel time information will help travelers make better decisions in terms of departure time, route selection and even mode choice. This study aims to analyze...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/tenvmv |
| Summary: | 碩士 === 國立成功大學 === 交通管理科學系 === 102 === Traffic accident occurrence on freeway is the main cause that affects travel time anticipated. Accurate travel time information will help travelers make better decisions in terms of departure time, route selection and even mode choice. This study aims to analyze the importance of accident features and evaluate the impacts of accident existence (queue length and recovery time) on freeway. The ultimate goal is to estimate accident duration and queue length when given relevant accident features according the accident database and vehicle detector database. All these information needs to be cross-checked in order to confirm the significant accident features and resulting impacts. Artificial neural network models are constructed with the most relevant factors identified in the above processes to provide predictive information of accident duration.
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