Identification of spillovers in urban street networks based on upstream fixed traffic data

This paper presents a method to identify spillovers based on upstream fixed detector data, using occupancy per cycle as the determination index. The key idea of this new method is that when the queues extend to the detector position, there will be unusable green time to a certain degree, and the occupancy will be greater than a particular threshold. Firstly, this paper introduces traffic wave models modified by a kinematic equation, and provides a calculation method for the occupancy per cycle under different traffic conditions, based on the relationship between the three basic traffic flow parameters, speed, traffic flow, and density. Secondly, the threshold of occupancy, which characterizes the appearance of spillovers, is determined by the premise that the stopping and starting waves have the same speed, and then the accuracy of the new method are verified by VISSIM simulation, using the ratio of misjudgment as the evaluation index. Finally, the precision stability of the method is analyzed, and the results show that the precision of this method is affected by the the detector location and bus ratio insignificantly.

[1]  B D Greenshields,et al.  A study of traffic capacity , 1935 .

[2]  F. Massey.  The Kolmogorov-Smirnov Test for Goodness of Fit , 1951 .

[3]  H. Lilliefors.  On the Kolmogorov-Smirnov Test for the Exponential Distribution with Mean Unknown , 1969 .

[4]  Franklin A. Graybill,et al.  An Analysis of a Two-Way Model with Interaction and No Replication , 1972 .

[5]  D. L. Gerlough,et al.  Traffic flow theory : a monograph , 1975 .

[6]  Panos G Michalopoulos,et al.  OPTIMAL CONTROL OF OVERSATURATED INTERSECTIONS: THEORETICAL AND PRACTICAL CONSIDERATIONS. , 1978 .

[7]  A.G. Sims,et al.  The Sydney coordinated adaptive traffic (SCAT) system philosophy and benefits , 1980, IEEE Transactions on Vehicular Technology.

[8]  D J Quinn.  A REVIEW OF QUEUE MANAGEMENT STRATEGIES , 1992 .

[9]  Thomas Urbanik,et al.  Enhanced Genetic Algorithm for Signal-Timing Optimization of Oversaturated Intersections , 2000 .

[10]  Ghassan Abu-Lebdeh,et al.  Genetic Algorithms for Traffic Signal Control and Queue Management of Oversaturated Two-Way Arterials , 2000 .

[11]  Pitu B. Mirchandani,et al.  A REAL-TIME TRAFFIC SIGNAL CONTROL SYSTEM: ARCHITECTURE, ALGORITHMS, AND ANALYSIS , 2001 .

[12]  J Mueck,et al.  Using detectors near the stop-line to estimate traffic flows , 2002 .

[13]  Ghassan Abu-Lebdeh,et al.  Design and evaluation of dynamic traffic management strategies for congested conditions , 2003 .

[14]  Wang Ying-ping.  Modification of Start-wave Model at Signalized Intersection , 2006 .

[15]  Darcy M. Bullock,et al.  Recasting Dilemma Zone Design as a Marginal Cost–Benefit Problem , 2007 .

[16]  Darcy M. Bullock,et al.  Input–Output and Hybrid Techniques for Real-Time Prediction of Delay and Maximum Queue Length at Signalized Intersections , 2007 .

[17]  Markos Papageorgiou,et al.  Real-time estimation of vehicle-count within signalized links , 2008 .

[18]  Ji-Yan Zou,et al.  Optical fiber-based power and data delivery system for high voltage electronic current transformer , 2008 .

[19]  Alexander Skabardonis,et al.  Oversaturated Freeway Flow Algorithm for Use in Next Generation Simulation , 2008 .

[20]  Henry X. Liu,et al.  Real-time queue length estimation for congested signalized intersections , 2009 .

[21]  Wuhong Wang,et al.  Incident Tree Model and Incident Tree Analysis Method for Quantified Risk Assessment: An In-depth Accident Study in Traffic Operation , 2010 .

[22]  Xinkai Wu,et al.  Identification of oversaturated intersections using high-resolution traffic signal data , 2010 .

[23]  Fei-Yue Wang,et al.  Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications , 2010, IEEE Transactions on Intelligent Transportation Systems.

[24]  Geert Wets,et al.  Influence of Stretching-Segment Storage Length on Urban Traffic Flow in Signalized Intersection , 2011, Int. J. Comput. Intell. Syst..

[25]  Mojtaba Ahmadi,et al.  An Adaptive Neuro-Fuzzy Inference System for estimating the number of vehicles for queue management at signalized intersections , 2011 .

[26]  Alexander Skabardonis,et al.  Identification and Analysis of Queue Spillovers in City Street Networks , 2011, IEEE Transactions on Intelligent Transportation Systems.