A Statistical Fitness Test of Newell's 3-detector Simplification Method for Unexpected Incident Detection in the Expressway Traffic Flow OH, Chang-Seok; RHO, Jeong Hyun; PARK, Young Wook;
The objective of this study is to actualize a statistical model of the 3-detector simplification model, which was proposed to detect outbreak situations by Daganzo in 1997 and to verify the statistical appropriacy thereof. This study presents the calculation process of the 3-detector simplification model and realizes the process using a statistics program. Firstly, the model was applied using data on detector of the main highways on which there is no entrances or exits. Moreover, in order to statistically verify the 3-detector simplification model, accumulative traffics for 30 seconds period, which reflects the dynamic changes of traffics due to shock wave, were estimated for outbreak traffics and steady flow, and the error of acquired data was statistically compared with that of the actual accumulative traffics. As a result, the error ratio between steady and incident cumulative flows has reached its maximum after 2-3 hours from an accident. Moreover, the incident traffic flows by accidents and the stade flows are heterogeneous in terms of their dispersion and means.
Ahmed F., Hawas Y. E. (2012), A Threshold-Based Real Time Incident Detection Systems for Urban Traffic Networks, Procedia - Social and Behavioral Sciences 48, 1713-1722.
Daganzo C. F. (1997), Fundamentals of Transportation and Traffic Operations, Pergamon, 106-125.
Hojati A. T., Ferreira L., Washington S., Charles P., Shobeirinejad A. (2014), Modelling Total Duration of Traffic Incidents Including Incident Detection and Recovery Time, Accident Analysis and Prevention 71, 296-305.
Kinoshita A., Takasu A., Adachi J. (2015), Real-time Traffic Incident Detection Using a Probabilistic Topic Model, Information Systems 54, 169-188.
Knoop V. L., Hoogendoorn S. P., van Zuylen H. J. (2008), Capacity Reduction at Incidents: Empirical Data Collected From a Helicopter, Transportation Research Record: Journal of the Transportation Research Board, 2071, 19-5.
Lu J., Chen S., Wang W., van Zuylen H. (2012), A Hybrid Model of Partial Least Squares and Neural Network for Traffic Incident Detection, Expert Systems With Applications 39 , 4775-4784.
Newell G. F. (1993), A Simplified Theory of Kinematic Waves in Highway Traffic, Part I. General Theory, Transportation Research Part B 27(4), 281-287.
Sinha P., Mohammed Hadi P. E., Amy Wang E. I. (2007), Modeling Reductions in Freeway Capacity due to Incidents in Microscopic Simulation Models, In Proceedings of 86th Annual Meeting of the Transportation Research Board, Washington D.C.
Willersrud A., Blanke M., Imsland L. (2015) Incident Detection and Isolation in Drilling Using Analytical Redundancy Relations, Control Engineering Practice 41, 1-12.