A new method of visualizing the road traffic: Differential timing method

Su Kit Tang, Rita Tse, Choi Ut Lam

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In recent years, the number of vehicles on the road is increasing rapidly. The traffic loading of the roads increases and the traffic slows down. If a car accident occurs or a car is illegally parked on the road, the traffic would become congested. To ease the problem, it is crucial to understand the traffic on roads in real-time before resolving the solution. This project will show a new method to visualize the traffic on the road, which is called Differential Timing Method (DTM). By checking the passing time when vehicles enter and exit a road segment, we compare the average passing time with the standard passing time. The traffic condition on the road can be determined. To check the time when a vehicle is seen, the Bluetooth technology is used. When the vehicle passes by a Bluetooth reader, it will be discovered and the discovery time will be recorded down. Thus, a traffic dataset can be built. To visualize the traffic dataset, the data will be aggregated and illustrated by bar chart. From the bar chart, the traffic condition of the road will be disclosed and indicated as congestion, slow moving, or free flow.

Original languageEnglish
Title of host publicationEleventh International Conference on Digital Image Processing, ICDIP 2019
EditorsJenq-Neng Hwang, Xudong Jiang
PublisherSPIE
ISBN (Electronic)9781510630758
DOIs
Publication statusPublished - 2019
Event11th International Conference on Digital Image Processing, ICDIP 2019 - Guangzhou, China
Duration: 10 May 201913 May 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11179
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference11th International Conference on Digital Image Processing, ICDIP 2019
Country/TerritoryChina
CityGuangzhou
Period10/05/1913/05/19

Keywords

  • Bluetooth
  • Smart transportation
  • Traffic
  • Visualization

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