DocumentCode
179421
Title
Researching on Microscopic Traffic Flow Characteristics of Freeway under Rainy Environment
Author
Wang Jian ; Sun Xixiong ; Hu Xiaowei
Author_Institution
Sch. of Transp. Sci. & Eng., Harbin Inst. of Technol., Harbin, China
fYear
2014
fDate
15-16 June 2014
Firstpage
889
Lastpage
892
Abstract
Existing models of traffic flow parameters are researched based on according to macroscopic traffic flow data, but the relationship among microscopic traffic flows parameters are not carefully investigated. Based on actual observation traffic flow data of freeway, to determine the probability distribution and cumulative probability distribution of microscopic traffic flow parameters(such as velocity, acceleration, time headway, lateral offset and so on)under rainy environment, and give velocity difference-velocity, acceleration-velocity, lateral offset-velocity distribution function above the law under rainy weather. Finally, validation results from the remaining data show that the distribution function can effectively describe the distribution of traffic flow under rainy environment, which can enrich freeway traffic flow theory, and provide a theoretical basis and practical value for the highway traffic management and control.
Keywords
rain; road traffic; statistical distributions; traffic engineering computing; acceleration-velocity; cumulative probability distribution; freeway traffic flow theory; highway traffic management; lateral offset-velocity distribution function; macroscopic traffic flow; microscopic traffic flow characteristic; rainy environment; time headway; traffic flow distribution; velocity difference-velocity; Acceleration; Meteorology; Microscopy; Probability distribution; Road transportation; Traffic control; Vehicles; freeway; probability distributions; rainy environment; traffic flow characteristics;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Engineering Applications (ISDEA), 2014 Fifth International Conference on
Conference_Location
Hunan
Print_ISBN
978-1-4799-4262-6
Type
conf
DOI
10.1109/ISDEA.2014.197
Filename
6977737
Link To Document