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Grant Award View - GA28763

Data-driven simulation of large traffic networks using trajectory data

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

:

GA ID:
GA28763
Agency:
Australian Research Council
Approval Date:
27-Nov-2018
Publish Date:
18-Dec-2018
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
1-Jun-2019 to 30-May-2023
Original: 1-Jan-2019 to 31-Dec-2021
Value (AUD):
$414,190.00 (GST inclusive where applicable)
Original: $357,000.00
Variations:

One-off/Ad hoc:
No
Aggregate Grant Award:
No

PBS Program Name:
ARC 18/19 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Data-driven simulation of large traffic networks using trajectory data
Purpose:
This project aims to develop a low-cost, data-driven framework that builds a traffic simulation model automatically and directly from vehicle trajectory data to enable rapid and reliable analysis of large-scale traffic networks. The project expects to generate new knowledge in the area of transport engineering using an innovative approach to inferring travel behaviours, movement patterns and traffic dynamics from increasingly available urban trajectory data. Expected outcomes include improved decision support for urban planners and traffic operators and enhanced traffic management and incident response capabilities, providing significant social, economic and environment benefits through optimised road use and urban flow.

GO ID:
GO Title:
Discovery Early Career Researcher Award commencing in 2019
Internal Reference ID:
DE19 Round 1
Selection Process:
Targeted or Restricted Competitive

Confidentiality - Contract:
No
Confidentiality - Outputs:
No

Grant Recipient Details

Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684

Grant Recipient Location

Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA

Grant Delivery Location

State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

: