Abstract
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.
Similar content being viewed by others
References
Abu-Lebdeh, G. and Benekohal R. F. (2000). “Genetic algorithms for traffic signal control and queue management of oversaturated twoway arterials.” Journal of the Transportation Research Board, Vol. 1727, pp. 32–41
Abu-Lebdeh, G. and Benekohal, R. (2003). “Design and evaluation of dynamic traffic management strategies for congested conditions.” Transportation Research Part A, Vol. 37, No. 2, pp. 109–127.
Gerlough, D. L. and Huber, M. J. (1975). Special report 165: Traffic flow theory: A monograph, Transportation Research Board, Washington D.C.
Geroliminis, N. and Skabardonis, A. (2011). “Identification and analysis of queue spillovers in city street networks.” IEEE Transactions on Intelligent Transportation Systems, Vol. 12, No. 4, pp. 1107–1115.
Greenshields, B. D. (1935). “A study of traffic capacity.” Proc. Highway Research Board, Highway Research Board, Washington, D.C., Vol. 14, pp. 448–477.
Guo, W., Wang, W., Wets, G., Wang, D., Mao, Y., Jiang, X., and Guo, H. (2011). “Influence of stretching-segment storage length on urban traffic flow in signalized intersection.” International Journal of Computational Intelligence Systems, Vol. 4, No. 6, pp. 1401–1406.
Johnson, D. E. and Graybill, F. A. (1972). “An analysis of a two-way model with interaction and no replication.” Journal of the American Statistical Association.” Vol. 67, No. 341, pp. 862–868.
Lilliefors, H. W. (1969). “On the Kolmogorov-Smirnov test for the exponential distribution with mean unknown.” Journal of the American Statistical Association, Vol. 64, No. 325, pp. 387–389.
Liu, H. X., Wu, X., Ma, W., and Hu, H.(2009). “Real-time queue length estimation for congested signalized intersections.” Transportation Research Part C, Vol. 17, No. 4, pp. 412–427.
Massey, F. J. (1951). “The Kolmogorov-Smirnov test for goodness of fit.” Journal of the American Statistical Association, Vol. 46, No. 253, pp. 68–78.
Michalopoulos, P. G. and Stephanopolos, G. (1978). “Optimal control of oversaturated intersections: Theoretical and practical considerations.” Traffic Engineering and Control, Vol. 19, No. 5, pp. 216–221.
Mirchandani P. B. and Head K. L. (2001). “A real-time traffic signal control system: architecture algorithm and analysis.” Transportation Research Part C, Vol. 9, No. 6, pp. 415–432.
Muck, J. (2002). “Using detectors near the stop-line to estimate traffic flows.” Traffic Engineering and Control, Vol. 43, No. 11, pp. 429–434.
Mucsi, K., Khan, A. M., and Ahmadi, M. (2011). “An adaptive neurofuzzy inference system for estimating the number of vehicles for queue management at signalized intersections.” Transportation Research Part C, Vol. 19, No. 6, pp. 1033–1047.
Qu, Z., Wang, D., and Yao, R. (2008). “Kinematic model of start wave at signalized intersection.” Journal of Jilin University (Engineering and Technology Edition), Vol. 38, No. 2, pp. 268–272 (in Chinese).
Quinn, D. J. (1992). “A review of queue management strategies.” Traffic Engineering and Control, Vol. 33, No. 11, pp. 600–605.
Sharma, A., Bullock, D. M., and Bonneson, J. (2007). “Input-output and hybrid techniques for real-time prediction of delay and maximum queue length at a signalized intersection.” Journal of the Transportation Research Board, Vol. 2035, pp. 88–96.
Sims, A. G. and Dobinson, K. W. (1980). “The Sydney Coordinated Adaptive Traffic (SCAT) system philosophy and benefits.” IEEE Transactions on Vehicular Technology, Vol. 29, No. 2, pp. 130–137.
Vigos, G., Papageorgiou, M., and Wang, Y. (2008). “Real-time estimation of vehicle-count within signalized links.” Transportation Research Part C, Vol. 16, No. 1, pp. 18–35.
Wang, F. Y. (2010). “Parallel control and management for intelligent transportation systems: Concepts, architectures, and applications.” IEEE Transactions on Intelligent Transportation Systems, Vol. 11, No. 3, pp. 630–638.
Wang, W., Jiang, X., Xia, S., and Cao, Q. (2010). “Incident tree model and incident tree analysis method for quantified risk assessment: An in-depth accident study in traffic operation.” Safety Science, Vol. 48, No. 10, pp. 1248–1264.
Webster, F. V. (1958). Traffic signal settings, road research technical paper no.39, Research Laboratory, Road, London.
Wu, X., Liu, H. X., and Gettman, D. (2010). “Identification of oversaturated intersections using high-resolution traffic signal data.” Transportation Research Part C, Vol. 18, No. 4, pp. 626–638.
Yang, S., Wang, D., Dong, B., and Wang, Y.(2006). “Modification of start-wave model at signalized intersection.” Journal of Highway and Transportation Research and Development, Vol. 23, No. 1, pp. 130–134 (in Chinese).
Yao, R., Qu, D., and Wang, D. (2007). “Stop-wave model based on kinematic equation.” Journal of Jilin University (Engineering and Technology Edition), Vol. 37, No. 5, pp. 1049–1052 (in Chinese).
Yeo, H., Skabardonis, A., Halkias, J., Colyar, J., and Alexiadis, V. (2008). “Oversaturated freeway flow algorithm for use in nextgeneration simulation.” Journal of the Transportation Research Board, Vol. 2088, pp. 68–79.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Ma, D., Wang, D., Bie, Y. et al. Identification of spillovers in urban street networks based on upstream fixed traffic data. KSCE J Civ Eng 18, 1539–1547 (2014). https://doi.org/10.1007/s12205-014-0534-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12205-014-0534-y