Adaptive incident detection algorithm for suburban expressway

Saroch Boonsiripant, Agachai Sumalee, Krit Jedwanna, Wattana Rungrittidech

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Incident is one of the major causes of non-recurring congestion on the expressways. Effective incident detection and management would greatly reduce non-recurring congestion delays caused by incidents. This paper aims to implement an incident detection algorithm for a suburban expressway route in Greater Bangkok, Thailand. The overly long sensor spacing, i.e., 5 km apart presents a challenge in developing an effective detection algorithm. Two classic algorithms, namely, California and McMaster algorithms were experimented. Based on the results, it was found that the comparative approach such as California algorithm is not suitable for a long span section due to its low detection rate and extremely long detection time. A single station algorithm like McMaster algorithm showed a more promising result and was then modified. By introducing a simple rule-based algorithm with an adaptive threshold, the Rule-Based McMaster algorithm yielded an exceptionally high detection rate and low false alarm rate.
Original languageEnglish
Title of host publicationProceedings of the 17th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2012
Subtitle of host publicationTransportation and Logistics Management
Pages281-288
Number of pages8
Publication statusPublished - 1 Dec 2012
Event17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012 - Kowloon, Hong Kong
Duration: 15 Dec 201217 Dec 2012

Conference

Conference17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012
CountryHong Kong
CityKowloon
Period15/12/1217/12/12

Keywords

  • Comparative algorithm
  • Flow
  • Incident detection
  • Occupancy
  • Single station algorithm

ASJC Scopus subject areas

  • Transportation

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