Title :
Estimation of Traffic Incident Delay and its Impact Analysis Based on cell transmission model
Author :
Ji, Yangbeibei ; Zhang, Xiaoning ; Sun, Lijun
Author_Institution :
Sch. of Rail Transp., Shanghai Inst. of Technol., Shanghai, China
Abstract :
Effective incident management and traffic control measurements require a full understanding of the characteristics of incidents to accurately estimate incident durations and to help make more efficient decisions to reduce the impacts of non recurring congestion due to these accidents. The Incident duration consist of four elements: detection time, response time, clearance time and recovery time. This paper develops a recovery model and incident delay model based on CTM, which has analytical simplicity and the ability to reproduce the traffic behavioral. Impact analysis of recovery time and incident delay have been done in quantity to demonstrate recovery time and delay during recovery time can not be neglected because it often accounts for larger proportion of the duration time and total delay especially in the city freeways. Accurate estimation of traffic incident delay is helpful to effective incident management and traffic control.
Keywords :
delays; estimation theory; road traffic; traffic control; cell transmission model; clearance time; detection time; incident duration; incident durations estimate; incident management; nonrecurring congestion; recovery time; response time; traffic control measurements; traffic incident delay estimation; Analytical models; Delay; Mathematical model; Predictive models; Roads; Traffic control; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2011 IEEE
Conference_Location :
Baden-Baden
Print_ISBN :
978-1-4577-0890-9
DOI :
10.1109/IVS.2011.5940403