Citation

Mo B, Li R, Zhan X. Transp. Res. C Emerg. Technol. 2017; 82: 358-378.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.trc.2017.07.006

PMID

unavailable

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.

Language: en

Keywords

Car-following model; Emission estimation; License plate number matching procedure; License plate recognition; Minimum cost bipartite matching; Speed profile estimation