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Grant Award View - GA40899-V1
Data-driven Traffic Analytics for Incident Analysis and Management
GA ID:
GA40899-V1
Agency:
Australian Research Council
Approval Date:
8-Feb-2019
Variation Publish Date:
13-Aug-2019
Variation Date:
30-Nov-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
30-Nov-2019 to 30-Nov-2022
Value (AUD):
$782,874.00
(GST inclusive where applicable)
Varies:
GA40899
- Data-driven Traffic Analytics for Incident Analysis and Management
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 18/19 Linkage
Grant Program:
Linkage Projects
Grant Activity:
Data-driven Traffic Analytics for Incident Analysis and Management
Purpose:
Traffic incidents are among the primary concerns of all transport authorities around the world due to their significant impact in terms of traffic congestion and delay, air and noise pollution, and management cost. This project aims to address incident analysis and management in complex and multi-modal traffic networks by combining multidisciplinary research efforts from transportation engineering and data science. The intended outcomes will be an innovative incident analysis and management framework synergising traffic data analytics and traffic simulation modelling as well as its key enabling techniques and prototype systems. This will significantly help mitigate incident impacts on daily commuters.
GO ID:
GO Title:
Linkage Projects for funding applied for in 2018
Internal Reference ID:
LP18 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Swinburne University of Technology
Recipient ABN:
13 628 586 699
Grant Recipient Location
Suburb:
HAWTHORN
Town/City:
HAWTHORN
Postcode:
3122
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
3122
Country:
AUSTRALIA