JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Study on Queue Length Estimation using GPS Trajectory Data
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Study on Queue Length Estimation using GPS Trajectory Data
Lee, Yong-Ju; Hwang, Jae-Seong; Lee, Choul-Ki;
  PDF(new window)
 Abstract
Existing real-time signal control system was brought up typical problems which are supersaturated condition, point detection system and loop detection system. For that reason, the next generation signal control system of advanced form is required. Following thesis aimed at calculating queue length for the next generation signal control system to utilize basic parameter of signal control in crossing queue instead of the volume of real-time through traffic. Overflow saturated condition which was appeared as limit of existing system was focused to set-up range. Real-time location information of individual vehicle which is collected by GPS data. It converted into the coordinate to apply shock wave model with an linear equation that is extracted by regression model applied by a least square. Through the calculated queue length and link length by contrast, If queue length exceed the link, queue of downstream intersection is included as queue length that upstream queue vehicle is judeged as affecting downstream intersection. In result of operating correlation analysis among link travel time to judge confidence of extracted queue length, Both of links were shown over 0.9 values. It is appeared that both of links are highly correlated. Following research is significant using real-time data to calculate queue length and contributing to signal control system.
 Keywords
Queue length;Shockwave model;GPS data;Overflow saturation;
 Language
Korean
 Cited by
 References
1.
Korean National Police Agency(2014), "Development of Signal control algorithm using big data on traffic information".

2.
Doh T. W.(2012), "The theory of traffic engineering," chungmungak, pp.112-122.

3.
Lee M. H.(2012), "Queue length estimation algorithm for signalized intersection using sectional travel time information".

4.
Yang C. et. al.(2011), "cycle-by-Cycle Queue length estimation for signalized intersections using sampled trajectory data," Journal of the transportation research board, no. 2257, pp.87-97.

5.
The City Hall of Seoul, http://traffic.seoul.go.kr/archives/10280, 2016.05.19.

6.
Chung Y. S. et. al.(2000), "Classification of map-matching techniques and a development," Journal of the Korean society for geospatial information system, vol, 8, no, 1. pp.73-84

7.
NCHRP.(1978), Traffic control in oversaturated street network.