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

被引：0

作者：

Sun, Chao ^{[1
,2
]}

Zhang, H Michael ^{[1
,3
]}

Chen, Xiaohong ^{[1
]}

机构：

[1] The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai,201804, China

[2] Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen Key Laboratory for Traffic Information and Traffic Engineering, Shenzhen,518021, China

[3] College of Civil and Environmental Engineering, University of California Davis, Davis,95616, United States

来源：

Tongji Daxue Xuebao/Journal of Tongji University | 2018年 / 46卷 / 01期

关键词：

Roads and streets - Traffic congestion - Vehicle performance - Data fusion - Motor transportation - Taxicabs - Global positioning system - Quality control;

D O I：

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

中图分类号：

学科分类号：

摘要：

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. © 2018, Editorial Department of Journal of Tongji University. All right reserved.

引用

页码：46 / 52