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To generate accurate real-time travel speed detection results for freeway traffic monitoring systems using GPS probe data, a Kalman filter based travel speed estimation algorithm is studied. According to the implementation with field GPS data from Los Angeles and the evaluation against speed measured by loop detectors as ground truth, correct rate of the computation speed is about 76%. The results...
Electronic vehicle guidance systems have gained much popularity over the last years. The massive use of inexpensive global positioning system receivers, combined with the rapidly increasing availability of wireless communication infrastructure, suggests that large amounts of data combining both modalities will be available in a near future. The approach presented here draws on machine learning techniques...
In this paper, we present and analyze an algorithm for mapping discrete GPS data gathered from vehicles to a continuous flow of data to determine the time to traverse a road section. Vehicle-tracking devices are installed in 80 probe vehicles in the Anchorage area, and a specific roadway section was chosen as a test section. Drivers for this study drove from before the start of the test roadway section...
This paper describes hybrid fusion module used in a strong localization context (POMA) for embedded vehicle applications. This work has been developed in order to give an answer to the POMA (Positioning, Maps and local referencing) sub project objectives. These objectives are to provide, for a set of high level applications, a positioning service included a service quality, a metric accuracy (lane)...
This paper presents the problematic of outdoor vehicle localization under the IMM (interacting multiple model) approach. The IMM is now a well known modular approach, which is based on the discretization of the vehicle evolution space into simple maneuvers, represented each by a simple dynamic model such as constant velocity or constant turning etc. This allows the method to be optimized for highly...
It is difficult to establish a precise mathematical model in extended Kalman filter (EKF) data fusion algorithm for GPS/DR integrated vehicle navigation system, a novel data fusion algorithm is put forward, which based on wavelet packet analysis. Firstly, the algorithm chooses best wavelet packet group for GPS, odometer and gyroscope signals with least cost principle, and does dynamic pre-filtering...
Traffic state estimation is a challenging problem for the transportation community due to the limited deployment of sensing infrastructure. However, recent trends in the mobile phone industry suggest that GPS equipped devices will become standard in the next few years. Leveraging these GPS equipped devices as traffic sensors will fundamentally change the type and the quality of traffic data collected...
The estimation of a vehiclepsilas dynamic state is one of the most fundamental data fusion tasks for intelligent traffic applications. For that, motion models are applied in order to increase the accuracy and robustness of the estimation. This paper surveys numerous (especially curvilinear) models and compares their performance using a tracking tasks which includes the fusion of GPS and odometry data...
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