TY - JOUR
T1 - A supervised switching-mode observer of traffic state and parameters and application to adaptive ramp metering
AU - Zhou, Yue
AU - Ozbay, Kaan
AU - Kachroo, Pushkin
AU - Chung, Edward
N1 - Funding Information:
This work was supported in part by the NSF CIS Award #1949710. Any Opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect those of the National Science Foundation.
Publisher Copyright:
© 2021 Hong Kong Society for Transportation Studies Limited.
PY - 2021
Y1 - 2021
N2 - Traffic state observers derived from the cell transmission model (CTM) are vulnerable to incorrect information and time variation of traffic flow parameters, in particular the critical density, known as the issue of mismodelling, which can cause erroneous mode switching of CTM-based observers to undermine estimation and control. This issue cannot be completely overcome, even if traffic flow parameters are augmented into state vector. We propose coupling a supervisor to the standard CTM-EKF observer to completely resolve this issue. Simulation shows that the proposed supervised observer can switch modes in accordance with actual situations and generate quality estimates of both traffic state and parameters. The supervised observer is then integrated with ramp metering control. Simulation shows that, in an environment of time-varying traffic flow parameters, the supervised observer-based ramp metering control system considerably outperforms an ordinary observer-based ramp metering control system, which only updates traffic state in real time.
AB - Traffic state observers derived from the cell transmission model (CTM) are vulnerable to incorrect information and time variation of traffic flow parameters, in particular the critical density, known as the issue of mismodelling, which can cause erroneous mode switching of CTM-based observers to undermine estimation and control. This issue cannot be completely overcome, even if traffic flow parameters are augmented into state vector. We propose coupling a supervisor to the standard CTM-EKF observer to completely resolve this issue. Simulation shows that the proposed supervised observer can switch modes in accordance with actual situations and generate quality estimates of both traffic state and parameters. The supervised observer is then integrated with ramp metering control. Simulation shows that, in an environment of time-varying traffic flow parameters, the supervised observer-based ramp metering control system considerably outperforms an ordinary observer-based ramp metering control system, which only updates traffic state in real time.
KW - cell transmission model
KW - CUSUM
KW - extended Kalman filter
KW - parameter estimation
KW - ramp metering
KW - Traffic state estimation
UR - http://www.scopus.com/inward/record.url?scp=85107347828&partnerID=8YFLogxK
U2 - 10.1080/23249935.2021.1931550
DO - 10.1080/23249935.2021.1931550
M3 - Journal article
AN - SCOPUS:85107347828
SN - 2324-9935
JO - Transportmetrica A: Transport Science
JF - Transportmetrica A: Transport Science
ER -