@inproceedings{9f3e217ded0a45afa1126a07f93d74fd,
title = "Analysis of priority maintain segmentation in pavement maintenance management for national freeways",
abstract = "Taiwan freeway electronic toll collection system (ETC) is not only replacing manual tolling to high accuracy distance-based toll collection ways, but is collecting specific and timely traffic data. In this study, we utilized the open data from ETC, such as traffic flow information, travel time information, vehicle types, etc., in every 5 minutes for multiple years and used the support vector machine and support vector regression method to get the kernel function to predict the future travel time and future traffic flow. Furthermore, we applied these prediction values as important references to support the strategies decision in freeway road maintenance management system and perform in the freeway management system. Thus, with the help of the big data collection and utilization we could efficiently improve the freeway service performance and develop the freeway system into intelligent transportation system (ITS) in the near future.",
author = "Lin, {Jyh Dong} and Liu, {Pin Liang} and Hsu, {Shih Ming} and Ho, {Min Che}",
note = "Publisher Copyright: {\textcopyright} 2017 ASCE.; 17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017 ; Conference date: 07-07-2017 Through 09-07-2017",
year = "2018",
doi = "10.1061/9780784480915.018",
language = "???core.languages.en_GB???",
series = "CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "178--183",
editor = "Haizhong Wang and Jian Sun and Jian Lu and Lei Zhang and Yu Zhang and ShouEn Fang",
booktitle = "CICTP 2017",
}