Title :
A classification of expressway traffic flow characteristics based on different distances between on-ramp and off-ramp
Author :
Zhang, Haizheng ; Yin, Shengchao ; Yao, Danya ; Su, Yuelong
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
This paper focuses on the influence on traffic flow characteristics of distance between on-ramp and off-ramp in expressway. In this research, those characteristics include traffic flow rate, average speed and average density. Based on VISSEVI, we calibrated key parameters and a calibrating procedure is proposed. Then we simulated scenarios with different distances from 100m to 1000m. Analyses of the distance´s influence on traffic flow characteristics are studied using simulation results. A step further, 3 modes are classified out of different distances and 2 thresholds are proposed. The two thresholds are within 100-200m and 500-600m and if distance varies through these, traffic flow characteristics will change significantly. Finally, as for verification, we compared 3 scenarios of simulation with reality. In the future, different control strategies may be applied due to different conditions.
Keywords :
automated highways; pattern classification; road traffic; traffic engineering computing; Beijing; VISSEVI; average density; average speed; control strategies; expressway traffic flow characteristic classification; key parameter calibration; off-ramp; on-ramp; traffic flow rate; Calibration; Roads; Safety; Simulation; Standards; Structural rings; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2012 IEEE
Conference_Location :
Alcala de Henares
Print_ISBN :
978-1-4673-2119-8
DOI :
10.1109/IVS.2012.6232184