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Towards the Statistical understanding of road Traffic Accident Occurrences in China
Zhai Q(翟倩); Li FY(李富羽); Feng, Wen
Source PublicationProceedings of 2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
2016
Volume00
Pages874-877
DOI10.1109/ICMTMA.2016.210
Contribution Rank第1完成单位
Indexed By其他
Conference Name2016 Eighth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
Conference Date2016-03-11
Conference PlaceMacau, China
Abstract

Smeed proposed the so-called Smeed formula to describe relationship between motorization level (V/P) and traffic accident level (D/V): D/V=α (V/P)β. Yearly number of serious road traffic accidents (fatalities) in China from the years 1951 to 2009 is analyzed. Its temporal evolution should be divided into two stages. At the first stage, spanning from 1951 to 1972, motorization level is very low, but traffic accidents fluctuate with time by a big margin. The higher motorization level is, the more traffic accidents statistically occur during this phase, and such a relation should be described more suitably by a linear formula than by the Smeed formula. The large temporal vibration of traffic accidents is inferred related to solar activity in this stage. In the second stage, from the years of 1973 to 2009, motorization level is obviously increased. Motorization level becomes higher and higher, but annual traffic accidents obviously decreasingly occur during this time period, and such a relation can be reflected suitably by the Smeed formula with α=1.618010310-4, and β=-0.692.

Funding ProjectN/A
Funding OrganizationN/A
Language英语
Subject Area天文学
MOST Discipline Catalogue理学 ; 理学::天文学
PublisherIEEE Computer Society
ISBN978-1-5090-2311-0
ISSN2157-1481
URL查看原文
Archive Date2016-05-23
Citation statistics
Document Type会议论文
Identifierhttp://ir.ynao.ac.cn/handle/114a53/9778
Collection太阳物理研究组
Recommended Citation
GB/T 7714
Zhai Q,Li FY,Feng, Wen. Towards the Statistical understanding of road Traffic Accident Occurrences in China[C]:IEEE Computer Society,2016:874-877.
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