Associate Professor Ashish Bhaskar

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Co-Leader, Business and Engineering Domain; Associate Professor in Civil Engineering, School of Civil and Environmental Engineering

PhD (Ecole Polytechnique Federale de Lausanne), Master of Engineering (University of Tokyo)

Research interests

  • Transport data analytics
  • Predictive modelling (traffic state estimation and prediction)
  • Traffic flow theory (emerging connected and automated vehicles; non-lane/quasi lane discipline)
  • Multimodal demand modelling (exploting advance traffic and transit data)
  • Real time multimodal (car and transit) operations and control
  • Traffic simulation
  • Benchmarking

Ongoing research projects

  • Data driven traffic assignment: Exploiting Bluetooth vehicle trajectory data (2020-2023)
  • Field testing ramp signalling deployment in STREAMS (2019-2020)
  • Cooperative and automated vehicles (CAVI) – Roadworks and signal use-cases (2019-2020)
  • Network scale arterial traffic state prediction: Fusing multisensor traffic data (2017-2020)
  • Evaluation of Motorway Vehicle Detectors (2020)
  • Interactive big data visualization for decision making: A prototype for mobility data (2019-2020)
  • Empirical modelling of traffic assignment (2019-2022)
  • Exploiting Bluetooth data for travel demand (origin destination matrix) estimation (2017- 2020)

Completed research projects (since 2013)

  • Data Visualization: Intersection and route level performance measure (completed 2020)
  • Macroscopic model based urban network signal optimization (completed 2019)
  • Traffic flow modelling for non-lane and quasi lane disciplined traffic behavior (completed 2018)
  • Incorporating Bluetooth vehicle trajectories for OD estimation (completed 2019)
  • Emergency Vehicle Preemption: Empirical analysis using STREAMS data and visualization  (completed 2019)
  • Automated Vehicle Trajectory Planning for Motorway On-Ramp Merging (completed 2019)
  • Fail safe algorithm for ramp signaling (completed 2018)
  • Coordinated ramp signaling testing in STREAMS (completed 2018)
  • Comparative overview of Addinsight and Intelematics data (completed 2017)
  • Predictive modelling of disturbances in public transit network (completed 2018)
  • Review of Traffic Management Systems (completed 2017)
  • Transit benchmarking: Modelling the productivity, effectiveness and efficiency of transit routes (completed 2017)
  • An insight on the comparison of Waze and SIMS (STREAMS Incident Management System) records (completed 2017)
  • Incident duration modelling and system optimal traffic re-routing (completed 2017)
  • Utilising big transit data for transfer coordination (completed 2015)
  • Exploring properties of macroscopic fundamental diagram (completed 2014)
  • Multimodal and multiobjective trip planner (completed 2014)
  • Motorway and arterial travel time estimation (completed 2014)
  • Accuracy and reliability of the travel time estimates from Bluetooth MAC scanners (completed 2013)
  • Crowd monitoring using Bluetooth and Wifi scanners (completed 2013)

Academic Qualifications

Additional information

August 2019- Present:

  • Associate Professor (Transport Domain), Queensland University of Technology;

August 2014- July 2019:

  • Senior Lecturer (Transport Domain), Queensland University of Technology;

Jan 2011 – July 2014:

  • Lecturer (Transport Domain), Queensland University of Technology;
  • Domain Leader for Integrated Traveller Information, Smart Transport Research Centre, QUT

June 2009 – Dec 2010:

August 2006 – May 2009:

  • Research Assistant  and PhD candidate, LAVOC, Swiss Federal Institute of Technology, Switzerland

Jan 2005 – July 2006:

  • Research Assistant, LAVOC, Swiss Federal Institute of Technology, Switzerland

Contributions to European Projects

[June 2007-Dec 2011] Optimized ITS-based Tools for Intelligent transport urban mobility (OPTIMUM)

  • This project is EU Marie Curie Action, FP7-PEOPLE-2010, for International Research Staff Exchange Scheme (between EU and Australia)

[June 2007-December 2010]
NEARCTIS: Network of Excellence for Advanced Road Cooperative Traffic management in Information Society

  • Member of the Steering Committee of the project.
  • Acting president of the NEARCTIS PhD research committee.
  • Leading the task on Young Researcher Mobility and Training program.

[June 2008-December 2010]
COST-TU0702: Real-time Monitoring, Surveillance and Control of Road Networks under Adverse Weather Conditions

  • Member of the Management Committee of the above COST Action.
  • Leading the Swiss part of the project tilted Network vulnerability and traffic management strategies under adverse weather conditions.

Software development DRONE: area-wide Dynamic ROad traffic NoisE (DRONE) simulator. This software tool integrates traffic simulation and noise estimation models for detailed noise contour maps. Other professional activities
[2012-2018]:  Dy Subject Area Coordinator: Civil, QUT
[2010]: NEARCTIS-COST0702 Summer Training School, Lausanne, Switzerland.

  • Coordinator for the summer training school.

Workshop on “Towards new research area in co-operative traffic management”, Lausanne, Switzerland  11thJune 2010

  • Organiser for the above workshop.

[September 2006]
International Symposium on Traffic Simulation 2006 (ISTS06), Lausanne, Switzerland.

  • Member of the core group to organize the ISTS06 symposium.

Workshop on Emerging Technologies, Lausanne, Switzerland

  • Member of the core group to organize the workshop.
Editorial Role for an Academic Journal
Reference year
Editorial board member for the Journal of Big Data Analytics in Transportation
Committee Role/Editor or Chair of an Academic Conference
Reference year
Member, Standing Committee on Transit Management and Performance, Transport Research Board (TRB)
Editorial Role for an Academic Journal
Reference year
Lead Guest Editor Special Issue on Modelling Opportunities and Challenges with the Emerging Tra«c and Transit Data Journal of Advanced Transportation
Editorial Role for an Academic Journal
Reference year
Editorial board member for the International Journal of Intelligent Transportation Systems Research