Online turning proportion estimation in real-time traffic-adaptive signal control

Pitu B. Mirchandani; Steven A. Nobe; Wenji W. Wu

doi:10.3141/1748-10

Online turning proportion estimation in real-time traffic-adaptive signal control

Pitu B. Mirchandani, Steven A. Nobe, Wenji W. Wu

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

An online method for traffic-adaptive turning proportion estimation for intersections based on a least-squares minimization approach is presented. It assumes that entering-vehicle lane counts and exiting-vehicle counts during every traffic signal phase and in each direction of an intersection are available. Estimations based on field data in the last three cycles (approximately 5 min) are compared with actual values. This method of turning proportion estimation was also implemented within RHODES, a real-time traffic-adaptive signal control system developed in the Advanced Transportation and Logistics: Algorithm and Systems Research Center at the University of Arizona. The resulting system was evaluated in a laboratory using CORSIM, a microscopic traffic simulation computer package. Performance of RHODES improves when the online traffic-adaptive turning proportions are used instead of constant turning proportions.

Original language	English (US)
Pages (from-to)	80-86
Number of pages	7
Journal	Transportation Research Record
Issue number	1748
DOIs	https://doi.org/10.3141/1748-10
State	Published - Jan 1 2001
Externally published	Yes

ASJC Scopus subject areas

Civil and Structural Engineering
Mechanical Engineering

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abstract = "An online method for traffic-adaptive turning proportion estimation for intersections based on a least-squares minimization approach is presented. It assumes that entering-vehicle lane counts and exiting-vehicle counts during every traffic signal phase and in each direction of an intersection are available. Estimations based on field data in the last three cycles (approximately 5 min) are compared with actual values. This method of turning proportion estimation was also implemented within RHODES, a real-time traffic-adaptive signal control system developed in the Advanced Transportation and Logistics: Algorithm and Systems Research Center at the University of Arizona. The resulting system was evaluated in a laboratory using CORSIM, a microscopic traffic simulation computer package. Performance of RHODES improves when the online traffic-adaptive turning proportions are used instead of constant turning proportions.",

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T1 - Online turning proportion estimation in real-time traffic-adaptive signal control

AU - Mirchandani, Pitu B.

AU - Nobe, Steven A.

AU - Wu, Wenji W.

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N2 - An online method for traffic-adaptive turning proportion estimation for intersections based on a least-squares minimization approach is presented. It assumes that entering-vehicle lane counts and exiting-vehicle counts during every traffic signal phase and in each direction of an intersection are available. Estimations based on field data in the last three cycles (approximately 5 min) are compared with actual values. This method of turning proportion estimation was also implemented within RHODES, a real-time traffic-adaptive signal control system developed in the Advanced Transportation and Logistics: Algorithm and Systems Research Center at the University of Arizona. The resulting system was evaluated in a laboratory using CORSIM, a microscopic traffic simulation computer package. Performance of RHODES improves when the online traffic-adaptive turning proportions are used instead of constant turning proportions.

AB - An online method for traffic-adaptive turning proportion estimation for intersections based on a least-squares minimization approach is presented. It assumes that entering-vehicle lane counts and exiting-vehicle counts during every traffic signal phase and in each direction of an intersection are available. Estimations based on field data in the last three cycles (approximately 5 min) are compared with actual values. This method of turning proportion estimation was also implemented within RHODES, a real-time traffic-adaptive signal control system developed in the Advanced Transportation and Logistics: Algorithm and Systems Research Center at the University of Arizona. The resulting system was evaluated in a laboratory using CORSIM, a microscopic traffic simulation computer package. Performance of RHODES improves when the online traffic-adaptive turning proportions are used instead of constant turning proportions.

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Online turning proportion estimation in real-time traffic-adaptive signal control

Abstract

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