题名: |
Travel time estimation oriented freeway sensor placement problem considering sensor failure |
其他题名: |
Ban,X.,Chu,L.,Herring,R.,&Margulici,J.(2011).Sequential modeling framework for optimal sensor placement formultiple intelligent transportation system applications.Journal of Transportation Engineering,137,112–120. |
正文语种: |
英文 |
作者: |
Ning Zhu |
关键词: |
sensor failure;sensor placement problem;stochastic program |
摘要: |
Optimal sensor placement on freeway corridor is of great interest to transportation authorities. However, current traffic sensors are easily subject to various failures. Therefore, it is necessary to incorporate sensor failure into the optimal sensor placement model. In this article, a two-stage stochastic model is proposed for the purpose of travel time estimation on freeway corridor. To balance the effectiveness and reliability, a stochastic conditional value at risk (CVaR) model is also proposed. Since both models are too complicated, a customized genetic algorithm is developed. Numerical experiments show that considering sensor failure makes a significant performance improvement in the sensor placement pattern. Sensitivity analysis is also applied to investigate the impact of a number of allowable sensors and different traffic sensor failure probability. |
出版年: |
2017 |
论文唯一标识: |
J-96Y2017V21N01003 |
英文栏目名称: |
Articles |
期刊名称: |
Journal of Intelligent Transportation Systems Technology Planning and Operations |
拼音刊名(出版物代码): |
J-96 |
卷: |
21 |
期: |
01 |
页码: |
26-40 |