Road Traffic Operation Assessment Based on Multi-source Floating Car Data Fusion

doi:10.11908/j.issn.0253-374x.2018.01.007

Home > Archive>Volume 46, Issue 01, 2018 >0046-0052. DOI:10.11908/j.issn.0253-374x.2018.01.007

Road Traffic Operation Assessment Based on Multi-source Floating Car Data Fusion
DOI:
                        10.11908/j.issn.0253-374x.2018.01.007
                    
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                        SUN ChaoSUN Chao
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China; Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen Key Laboratory for Traffic Information and Traffic Engineering, Shenzhen, 518021, China
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H. Michael ZHANGH. Michael ZHANG
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China; College of Civil and Environmental Engineering, University of California Davis, Davis 95616, America
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CHEN XiaohongCHEN Xiaohong
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
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Abstract:

Facing with the current taxi floating car data insufficient coverage and data quality issues, Baidu mobile navigation and bus GPS data is introduced based on the analysis of available data characteristics, Traffic Performance Index algorithm based on travel time and one method of road traffic operation evaluation based on Taxi, Baidu, Bus, multisource floating car data(FCD) fusion is proposed to conduct the road traffic performance assessment and congestion management. Multi-source data fusion rules and a fusion algorithm are constructed. Take Shenzhen as an example, the results show that the multi-source data fusion method proposed in this paper has a significant effect, which greatly improves the accuracy of fusion results, data coverage, data reliability and data sample size. Finally, the main application direction and preliminary application effect are put forward. The method proposed in this paper can provide reference for domestic and foreign cities to carry out traffic operation assessment.

Key words:road traffic; traffic operation assessment; traffic performance index; travel time; data fusion

Reference

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SUN Chao, H. Michael ZHANG, CHEN Xiaohong. Road Traffic Operation Assessment Based on Multi-source Floating Car Data Fusion[J].同济大学学报(自然科学版),2018,46(01):0046~0052

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Received:April 18,2017
Revised:November 26,2017
Adopted:September 06,2017
Online: February 01,2018
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