Traffic Light Control with Real-Time Vehicle License Plate Recognition

Fandel Lin, Shiuan Tyng Lin, Jie Yu Fang, Hsun Ping Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Traffic light control is one of crucial issues in the traffic deployment. However, the current procedure in generating traffic light schedule that relies on either empirical law manually or simulating software is time-consuming and lack of both flexibility and immediacy. Given real-time traffic flow information from vehicle license plate recognition sensors, the proposed framework can immediately generate a traffic light schedule to relieve arising or probable traffic congestion which was not expected at first by management authorities. The novelty of our system is that it combines the instant traffic flow transition estimation and an adaptation of Gaussian Mixture Model. Preliminary evaluations show that proposed method outperforms the current procedure that the traffic management authority in Tainan City takes.

Original languageEnglish
Title of host publicationThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020
PublisherAssociation for Computing Machinery
Pages100-102
Number of pages3
ISBN (Electronic)9781450370240
DOIs
Publication statusPublished - 2020 Apr 20
Event29th International World Wide Web Conference, WWW 2020 - Taipei, Taiwan
Duration: 2020 Apr 202020 Apr 24

Publication series

NameThe Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020

Conference

Conference29th International World Wide Web Conference, WWW 2020
Country/TerritoryTaiwan
CityTaipei
Period20-04-2020-04-24

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software

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