Research on Intersection Frequent Overflow Control Strategy Based on Wide-Area Radar Data
Joint Authors
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Overflow identification and control at urban road intersection is a derivative problem of oversaturation control.
The existing cross-section detector uses the road cross-section occupation of vehicles to identify the overflow state; then, the downstream road condition is often ignored.
At present, more and more advanced traffic detection technologies, such as vehicle-to-infrastructure and wide-area radar, can provide reliable data for accurate overflow identification.
In this paper, a new method of overflow identification and control at intersections is proposed by using advanced wide-area radar detection data.
As a detector for specific segment of road, the wide-area radar can detect the traffic flow data in a certain range of road and provide more data types.
Therefore, the average speed and space occupancy of the effective detection road segment are selected as subindicators to establish the comprehensive identification index of overflow identification.
Then, the overflow control strategy is developed considering the traffic demand of the overflow phase and the nonoverflow phase.
It is proved that the method is more accurate and effective in overflow identification and control by using simulation experiment of field data.
American Psychological Association (APA)
Zhang, Li-li& Zhao, Qi& Wang, Li. 2020. Research on Intersection Frequent Overflow Control Strategy Based on Wide-Area Radar Data. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1181109
Modern Language Association (MLA)
Zhang, Li-li…[et al.]. Research on Intersection Frequent Overflow Control Strategy Based on Wide-Area Radar Data. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1181109
American Medical Association (AMA)
Zhang, Li-li& Zhao, Qi& Wang, Li. Research on Intersection Frequent Overflow Control Strategy Based on Wide-Area Radar Data. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1181109
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181109