Highway Traffic Incident Detection and Optimal Sensor Placement Layout

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Abstract:

Traffic incident detection is critical to the core of the traffic incident management process. In order to study the highway traffic incident detection algorithm and the layout spacing of the fixed detector, under the assumptions of the linear traffic flow, to detect traffic incidents as the goal, using TransModeler traffic simulation software to simulate the highway traffic conditions from Xian to Hanzhong, getting the changes in the macroscopic traffic parameters before and after the traffic incident, and analysis of the data, finally puts forward the optimal layout of spacing of basic road traffic incident detection.

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460-464

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Lemp JD, Kockelman KM, Unnikrishnan A. Analysis of large truck crash severity using heteroskedastic ordered probitmodels. Accident Analysis&Prevention . (2011).

DOI: 10.1016/j.aap.2010.09.006

Google Scholar

[2] Christoforou Z. Vehicle occupant injury severity on highways: An empirical investigation. Accident Analysis&Prevention . (2010).

DOI: 10.1016/j.aap.2010.03.019

Google Scholar

[3] Yu Peng. Highway incident detection algorithm based on wavelet analysis [J]. Transportation Research Technology in Hunan 2011 (03).

Google Scholar

[4] Zheng Z, Ahna S, Mosere C. Impact of traffic oscillations on freeway crash occurrences [J]. Accident Analysis and Prevention, 2010, 42(2): 626-636.

DOI: 10.1016/j.aap.2009.10.009

Google Scholar

[5] Zi Yang, Shu li Song. Freeway traffic incident speed limit value based on the simulation of conflict research [J]. Traffic technology. 2010(10):84—87.

Google Scholar

[6] Xiao juan Zhao. Automatically based on the multi-source data, road traffic incident detection algorithm of [D]. Journal of Beijing University,(2010).

Google Scholar

[7] Yan Liu, Guijie Liu, Bo Liu. Sensor to optimize the arrangement of Research and Prospects [J]. Sensors and micro-systems. 2010 (11).

Google Scholar

[8] Chuan—zhi Li. Hong—wu Ye. Freeway TI. afnC Incident Detection Based On Multi. Mode Radio Positioning Technology. 2009, ICICTA. Second international Conference on intelligent Computation Technology and Automation. 2009,pp: 606-610.

DOI: 10.1109/icicta.2009.612

Google Scholar