Title :
Research on slow traffic travel demand forcasting at urban intersections
Author :
Liu, Hong ; Chen, Xuewu
Author_Institution :
Jiangsu Provincial Key Lab of Transportation Planning and Management, Southeast University, Nanjing, China
Abstract :
Reasonable Slow traffic (non-motor vehicle and pedestrian) travel demand foresting is the premise and foundation of urban traffic intersection optimization. Aimed at dealing with the lack of slow traffic volume estimation at urban intersections while the inherent mixed traffic characteristics of our country, this paper analyzes the latest research on slow traffic demand forecasting from the following aspects: influencing factors and prediction methods. Suggested establishing the slow traffic volume estimation model by analyzing the relationship of it with the land use, demographic characteristics, transportation system characteristics near the intersection and intersections´ own facility characteristics. Given recommended values of the sample selection, investigation scope and survey indicators according to China´s national conditions.
Keywords :
Bicycles; Cities and towns; Demand forecasting; Educational institutions; Estimation; Planning; Slow Traffic; Travel Demand Forcasting; Urban Intersection; non-motor vehicle; pedestrian;
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing, China
Print_ISBN :
978-1-4244-9172-8
DOI :
10.1109/RSETE.2011.5965785