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• W2884580909 abstract "This chapter describes a novel traffic monitoring system based on data generated by Inertial Measurement Units (IMUs) in conjunction with short range Bluetooth or WiFi readers. The IMUs are used to estimate the vehicle path along the transportation network, detect traffic stops and go waves, classify traffic-related events, and possibly monitor the condition of the roadway. We introduce a trajectory estimation method for estimating vehicle paths from IMU data and Bluetooth reader position data only. Using this method, we show that the state of traffic on an urban network can be estimated locally by solving a set of independent traffic estimation problems with unknown boundary conditions. This set of independent solutions are then regularized using a consensus-type algorithm to estimate the unknown boundary conditions during the process. This system allows one to estimate the state of traffic over an urban network, while maintaining the privacy of the users, unlike current systems." @default.
• W2884580909 created "2018-08-03" @default.
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• W2884580909 date "2018-07-29" @default.
• W2884580909 modified "2023-10-17" @default.
• W2884580909 title "A Privacy-Preserving Urban Traffic Estimation System" @default.
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• W2884580909 doi "https://doi.org/10.1007/978-3-319-75862-6_4" @default.
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