|Table of Contents|

[1] Wang Chaonan, Li Wenquan, Tong Xiaolong, Chen Chen, et al. An automatic identification algorithm for freeway bottleneckbased on loop detector data [J]. Journal of Southeast University (English Edition), 2014, 30 (4): 495-499. [doi:10.3969/j.issn.1003-7985.2014.04.016]
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An automatic identification algorithm for freeway bottleneckbased on loop detector data()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
30
Issue:
2014 4
Page:
495-499
Research Field:
Traffic and Transportation Engineering
Publishing date:
2014-12-31

Info

Title:
An automatic identification algorithm for freeway bottleneckbased on loop detector data
Author(s):
Wang Chaonan Li Wenquan Tong Xiaolong Chen Chen
School of Transportation, Southeast University, Nanjing 210096, China
Keywords:
bottleneck loop detector data occupancy rate flow rate
PACS:
U491.2
DOI:
10.3969/j.issn.1003-7985.2014.04.016
Abstract:
A bottleneck automatic identification algorithm based on loop detector data is proposed. The proposed algorithm selects the critical flow rate as the trigger variable of the algorithm, which is calculated by the road conditions, the level of service and the proportion of trucks. The process of identification includes two parts. One is to identify the upstream of the bottleneck by comparing the distance between the current occupancy rate and the mean value of the occupancy rate and the variance of the occupancy rate. The other process is to identify the downstream of the bottleneck by calculating the difference of the upstream occupancy rate with that of the downstream. In addition, the algorithm evaluation standards, which are based on the time interval of the data, the detection rate and the false alarm rate, are discussed. The proposed algorithm is applied to detect the bottleneck locations in the Shanghai Inner Ring Viaduct Dabaishu-Guangzhong road section. The proposed method has a good performance in improving the accuracy and efficiency of bottleneck identification.

References:

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Memo

Memo:
Biographies: Wang Chaonan(1990—), female, graduate; Li Wenquan(corresponding author), male, doctor, professor, wenqli@seu.edu.cn.
Citation: Wang Chaonan, Li Wenquan, Tong Xiaolong, et al. An automatic identification algorithm for freeway bottleneck based on loop detector data[J].Journal of Southeast University(English Edition), 2014, 30(4):495-499.[doi:10.3969/j.issn.1003-7985.2014.04.016]
Last Update: 2014-12-20