TY - GEN
T1 - Shockwave detection for electronic vehicle detectors
AU - Cho, Hsun-Jung
AU - Tseng, Ming Te
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Although Shockwaves have been extensively adopted in traditional traffic flow theory, how to detect Shockwaves using an electronic vehicle detector has not been explored. Therefore, this study illustrates, for the first time, not only how to detect Shockwaves, but also how to obtain Shockwaves from three new traffic parameters: Stopped, Moving, and Empty. The Stopped parameter attempts to identify a newly arrived Shockwave equation when a traffic queue approaches the electronic vehicle detector. The Moving and Empty parameters derive another new arrival Shockwave equation when the electronic vehicle detector fails to identify any queue. An algorithm is also created to demonstrate how to use these parameters and equations to detect Shockwaves. Additionally, numerous simulations are conducted to identify the behaviors of new traffic parameters and the effectiveness of the proposed algorithm. Results of this study demonstrate that the computing algorithm for electronic vehicle detectors can accurately detect Shockwaves.
AB - Although Shockwaves have been extensively adopted in traditional traffic flow theory, how to detect Shockwaves using an electronic vehicle detector has not been explored. Therefore, this study illustrates, for the first time, not only how to detect Shockwaves, but also how to obtain Shockwaves from three new traffic parameters: Stopped, Moving, and Empty. The Stopped parameter attempts to identify a newly arrived Shockwave equation when a traffic queue approaches the electronic vehicle detector. The Moving and Empty parameters derive another new arrival Shockwave equation when the electronic vehicle detector fails to identify any queue. An algorithm is also created to demonstrate how to use these parameters and equations to detect Shockwaves. Additionally, numerous simulations are conducted to identify the behaviors of new traffic parameters and the effectiveness of the proposed algorithm. Results of this study demonstrate that the computing algorithm for electronic vehicle detectors can accurately detect Shockwaves.
KW - Electronic vehicle detector
KW - Empty
KW - Moving
KW - Shockwave
KW - Stopped
UR - http://www.scopus.com/inward/record.url?scp=38149017893&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-72590-9_39
DO - 10.1007/978-3-540-72590-9_39
M3 - Conference contribution
AN - SCOPUS:38149017893
SN - 9783540725893
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 275
EP - 282
BT - Computational Science - ICCS 2007 - 7th International Conference, Proceedings
Y2 - 27 May 2007 through 30 May 2007
ER -