Speed profile estimation using license plate recognition data |
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Institution: | 1. System Simulation & Control, Dept. of Transport Science, KTH Royal Institute of Technology, Teknikringen 10, Stockholm, 10044, Sweden |
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Abstract: | Vehicle speed profile is a fundamental data support for calculating vehicular emission using the micro-emission model. However, achieving accuracy and breadth for the speed profile estimation is difficult. This study proposes a new vehicle speed profile estimation model using license plate recognition (LPR) data. This model allows speed profile estimation of every individual vehicle between two consecutive intersections. A systematic LPR data-mending method is developed to infer the information of unmatched vehicles. Using the complete arrival and departure information as boundary conditions, a customized car-following model combined with dummy-overtaking hypothesis and boundary constraints is then applied to estimate the speed profile of vehicles. The proposed model is validated using ground truth speed information from a field experiment conducted in Langfang City in China. Results show that the model can fully capture the pattern of ground truth speed profile. A complementary model validation using the Next Generation Simulation dataset and a model application for calculating emissions are also conducted. The numerical results indicate the effectiveness of the proposed model in estimating vehicle speed profile and emissions. |
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Keywords: | Speed profile estimation License plate recognition Emission estimation Car-following model License plate number matching procedure Minimum cost bipartite matching |
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