RESEARCH ARTICLE
Data Processing Techniques for Real-Time Traveler Information: Use of Dedicated Short-Range Communications Probes on Suburban Arterial
Jinhwan Jang1, *
Article Information
Identifiers and Pagination:
Year: 2020Volume: 14
First Page: 99
Last Page: 108
Publisher ID: TOTJ-14-99
DOI: 10.2174/1874447802014010099
Article History:
Received Date: 05/03/2020Revision Received Date: 30/04/2020
Acceptance Date: 11/05/2020
Electronic publication date: 29/06/2020
Collection year: 2020
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Background:
As wireless communication technologies evolve, probe-based travel-time collection systems are becoming popular around the globe. However, two problems generally arise in probe-based systems: one is the outlier and the other is time lag. To resolve the problems, methods for outlier removal and travel-time prediction need to be applied.
Methods:
In this study, data processing methods for addressing the two issues are proposed. After investigating the characteristic of the travel times on the test section, the modified z-score was suggested for censoring outliers contained in probe travel times. To mitigate the time-lag phenomenon, a recurrent neural network, a class of deep learning where temporal sequence data are normally treated, was applied to predict travel times.
Results:
As a result of evaluation with ground-truth data obtained through test-car runs, the proposed methods showed enhanced performances with prediction errors lower than 13% on average compared to current practices.
Conclusion:
The suggested methods can make drivers to better arrange their trip schedules with real-time travel-time information with improved accuracy.