Urban travel time data cleaning and analysis for Automatic Number Plate Recognition

Li, Jie; van Zuylen, H.J.; Deng, Yuansheng; Zhou, Yun

doi:10.1016/j.trpro.2020.03.151

Urban travel time data cleaning and analysis for Automatic Number Plate Recognition

Title

Urban travel time data cleaning and analysis for Automatic Number Plate Recognition

Author

Li, Jie (Hunan University)
van Zuylen, H.J. (TU Delft Transport and Planning; Hunan University; Southwest Jiaotong University)
Deng, Yuansheng (Changsha Public Security Bureau)
Zhou, Yun (Hunan University)

Date

2020

Abstract

Data recorded by Automated Number Plate Recognition (ANPR) cameras can be used to determine several important traffic characteristics, such as real time travel time, travel time statistics, travel time reliability and OD matrices. In this paper ANPR data collected in Chinese city Changsha have been validated. Travel time extracted from ANPR data includes some outliers which are often caused by drivers who have an intermediate stop between two observation points or deviate from the straight route. Exceptional travel time reduces the validity of the estimation of the travel time and reliability. Firstly, the Rapid-Moving Window method is introduced to identify outliers. Afterwards, another method based on wavelet analysis is put forward to identify and remove the outliers in the travel time series. The wavelet analysis method is compared with the Rapid-Moving Window method and shows to be more accurate in outlier identification. The method for eliminating outliers in travel times can be implemented in real time to enhance the data quality for traffic network monitoring and management. After the removal of the outliers, the resulting travel times are used for the analysis of the relation between average travel time and standard deviation/skewness.

Subject

Automated Number Plate Recognition data
Data clearning
Travel time reliability
Wavelet analysis

To reference this document use:

http://resolver.tudelft.nl/uuid:98a7cc04-f203-4851-b17e-ea3eb0dc88d0

DOI

https://doi.org/10.1016/j.trpro.2020.03.151

ISSN

2352-1457

Source

Transportation Research Procedia, 47, 712-719

Event

22nd EURO Working Group on Transportation Meeting, EWGT 2019, 2019-09-18 → 2019-09-20, Barcelona, Spain