Traffic condition monitoring using weighted kernel density for intelligent transportation

Chi Chung Lee, Wah Ching Lee, Haoyuan Cai, Hao Ran Chi, Chung Kit Wu, Jan Haase, Mikael Gidlund

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

5 Citations (Scopus)

Abstract

Smart transportation is an application of intelligent system on transportation domain, expected to bring the society environmental and economic advantages. By combining with IoT techniques, the concept is being enhanced and raised to a system level. Numerous data are able to collect and effective analysis technique is needed. Here in this paper, we proposed a framework of employing IoT technique to construct a free time navigation system. The system aims at providing a real-time quantification of traffic conditions and suggests optimal route based on the information retrieved. The system can be basically separated into two major components: (i) the traffic condition estimation module and the (ii) real-time routing algorithm. In the first component, traffic conditions of roads will be estimated based the information collected from sensors installed on vehicles. Based on these location and speed information, the traffic condition can be quantified using a weighted kernel density estimation (WKDE) function. This function is a function of time and provides a real time insight of the overall traffic condition. By combining this information and the topological structure of the road network, a more accurate time consumption on each road can be estimated and hence enable a better routing.
Original languageEnglish
Title of host publicationProceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015
PublisherIEEE
Pages624-627
Number of pages4
ISBN (Electronic)9781479966493
DOIs
Publication statusPublished - 28 Sep 2015
Event13th International Conference on Industrial Informatics, INDIN 2015 - Robinson College, Cambridge, United Kingdom
Duration: 22 Jul 201524 Jul 2015

Conference

Conference13th International Conference on Industrial Informatics, INDIN 2015
CountryUnited Kingdom
CityCambridge
Period22/07/1524/07/15

Keywords

  • Estimation
  • Internet
  • Kernel
  • Navigation
  • Real-time systems
  • Vehicles

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Control and Systems Engineering

Cite this