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

CS Advani, N Ahuja, P Gunda, A Bhaskar… - Australasian …, 2019 - eprints.qut.edu.au
CS Advani, N Ahuja, P Gunda, A Bhaskar, M Hingorani
Australasian Transport Research Forum 2019 Proceedings, 2019eprints.qut.edu.au
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 …
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.
eprints.qut.edu.au
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