scholarly journals Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory , Boris S. Kerner Springer, New York, 2009. $129.00 (265 pp.). ISBN 978-3-642-02604-1

Physics Today ◽  
2010 ◽  
Vol 63 (3) ◽  
pp. 53-53 ◽  
Author(s):  
L. Craig Davis
Keyword(s):  
New York ◽  
Traffic Flow ◽  
Flow Theory ◽  
Traffic Flow Theory ◽  
Three Phase ◽  
Traffic Theory ◽  
And Control

scholarly journals Dynamic OD estimation using three phase traffic flow theory

2010 ◽  
Vol 45 (2) ◽  
pp. 143-158 ◽  
Author(s):  
Seungjae Lee ◽  
Benjamin Heydecker ◽  
Yong Hoon Kim ◽  
Eui-Young Shon
Keyword(s):  
Traffic Flow ◽  
Flow Theory ◽  
Od Estimation ◽  
Traffic Flow Theory ◽  
Three Phase

Linking Incidents to Customers (LINC): An Algorithm for Linking Incidents to Rail Customer Delays Inspired by Traffic Flow Theory

2021 ◽  
pp. 036119812110548
Author(s):  
Michael Eichler
Keyword(s):  
Traffic Flow ◽  
Business Processes ◽  
Flow Theory ◽  
Incident Response ◽  
Traffic Flow Theory ◽  
Root Cause ◽  
Rail Systems ◽  
Transit Agencies ◽  
Customer Delay ◽  
Impact Zones

Rail transit agencies have greatly advanced the ability to measure delays to rail system customers and have developed key performance indicators for rail systems based on customer travel time. The ability for operators to link these customer delay metrics to root causes would provide great benefit to agencies, from incident response improvement to capital program prioritization. This paper describes a method for linking late train arrivals to both late customers and incident tickets. Inspired by traffic flow theory, the method identifies impact zones in time and space that can then be linked to a potential root cause by way of incident tickets. This algorithm is currently under development by the Washington Metropolitan Area Transit Authority’s Office of Planning, and its outputs are being integrated into a variety of operations- and capital-related business processes.

scholarly journals Analysis of Freeway Secondary Crashes in Different Traffic Flow States by Three-Phase Traffic Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Bo Yang ◽  
Yao Wu ◽  
Weihua Zhang
Keyword(s):  
Traffic Flow ◽  
Safety Performance ◽  
Crash Risk ◽  
Contributing Factors ◽  
Crash Data ◽  
Conditional Logit ◽  
Three Phase ◽  
Secondary Crashes ◽  
Traffic Theory ◽  
Flow States

The objective of this study is to analyse the relationship between secondary crash risk and traffic flow states and explore the contributing factors of secondary crashes in different traffic flow states. Crash data and traffic data were collected on the I-880 freeway in California from 2006 to 2011. The traffic flow states are categorised by three-phase traffic theory. The Bayesian conditional logit model has been established to analyse the statistical relationship between the secondary crash probability and various traffic flow states. The results showed that free flow (F) state has the best safety performance of secondary crash and synchronized flow (S) state has the worst safety performance of secondary crashes. The traditional logistic regression model has been used to analyse the contributing factors of secondary crashes in different traffic flow states. The results indicated that the contributing factors in different traffic flow states are significantly different.

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