Towards Visualisation of Traffic Congestion using Bluetooth MAC Scanners (BMS): Automating the process of BMS links generation

Bluetooth MAC Scanner (BMS) based traffic data is widely utilised to estimate travel time (speed) on the road network. The seamless availability of BMS data from large urban networks (such as Brisbane) provides opportunities to visualize congestion on the network. However, the baseline road network cannot be directly used for congestion mapping as the BMS scanners are offset from the road network. Thus, it becomes necessary to snap scanner points on the road network thereby creating a BMS based network. The BMS based network lines are currently manually assigned which are inefficient as well as time-consuming. This paper provides a technique that can be adopted for any large-scale network to define the links between the scanner locations. The strategy expresses a procedure based on the restricted path matching technique. As a case study, the proposed methodology is applied on real Brisbane network and utilised for congestion dashboard development.

• Record URL:
  https://www.australasiantransportresearchforum.org.au/papers/2019
• Authors:
  • Advani, C
  • Ahuja, N
  • Gunda, P K
  • Bhaskar, A
  • Hingorani, M
• Conference:
  • Australasian Transport Research Forum (ATRF), 41st, 2019, Canberra, ACT, Australia
• Publication Date: 2019-10

Language

• English

Media Info

• Pagination: 15 p
• Monograph Title: 41st Australasian Transport Research Forum (ATRF), 30 September to 2 October 2019, Canberra, ACT

Subject/Index Terms

• TRT Terms: Automation; Forecasting; Sensors; Traffic congestion; Travel time; Types of roads by network
• Geographic Terms: Brisbane
• ATRI Terms: Automation; Forecast; Road network; Sensor; Traffic congestion; Travel time

Filing Info

• Accession Number: 01733370
• Record Type: Publication
• Source Agency: ARRB Group Limited
• Files: ITRD, ATRI
• Created Date: Mar 16 2020 11:59AM