详情

原文传递 Improving the Effectiveness of Smart Work Zone Technologies

题名：	Improving the Effectiveness of Smart Work Zone Technologies
作者：	Yanning, L.; Mori, J. C. M.; Work, D. B.
关键词：	Illinois (state)##Effectiveness analysis##Traffic estimation##Low-Energy Radar (LER)##Remote Traffic Microwave sensors (RTMS)##Smart Work Zone Technologies##Kalman filter design##Improvements##Recommendations##Evaluation##Implementation##Algorithm##Configurations##Portland cement concrete (PCC) pavement##Illinois Department of Transportation (IDOT)##
摘要：	This project evaluates the effectiveness of sensor network systems for work zone traffic estimation. The comparative analysis is performed on a work zone modeled in micro-simulation and calibrated with field data from two Illinois work zones. Realistic error models are used to generate noisy measurements corresponding to Doppler radar sensors, remote traffic microwave sensors (RTMS), and low-energy radar (LER). The velocity, queue length, and travel time are estimated with three algorithms based on (1) interpolation, (2) spatio-temporal smoothing, and a (3) flow model–based Kalman filter. More than 700 sensor and algorithm configurations are evaluated, and the accuracy of the resulting traffic estimates are compared with the true traffic state from the microsimulation. The nonlinear Kalman filter provides up to 30% error reduction over other velocity estimators when the RTMS spacing exceeds 2 miles and generally offers the best performance for queue and travel time estimation.
总页数：	130
报告类型：	科技报告