Personal details

Name
Associate Professor Ashish Bhaskar
Position(s)
Associate Professor in Civil Engineering
Faculty of Engineering,
School of Civil & Environmental Engineering
Discipline *
Civil Engineering
Phone
+61 7 3138 9985
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD Twitter LinkedIn
Qualifications

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

Professional memberships
and associations
Keywords

Integrated Traveller Information, Public Transport, Bluetooth and Wifi as a complementary transport data, Modelling and Simulation, Traffic Management and Control, Traffic Noise Modelling, Macroscopic fundamental diagram, Data fusion, Big Data

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Dr Ashish Bhaskar is an Associate Professor in Civil Engineering (Transport discipline), at the Queensland University of Technology (QUT), Brisbane, Australia. His expertise includes transport big data analytics, modelling, simulation, and control.

At this stage, the focus of his research is on addressing the issues and challenges related to road traffic congestion and its detrimental impacts. Together, with his team of researchers and collaborators from government, industry, and academia, he is working towards evidence-based decisions support, management, and control of multimodal transport system.

He has a proven track record of working with government and industry including Qld Department of Transport and Main Roads (TMR) on number of projects as lead chief investigator.

Currently, three key themes of his research are:

  • Transport big data analytics: His research team has established expertise in management, analysis, and visualization of real ‘big’ traffic and transit data from South-East Queensland. The research focus is on understanding data characteristics, accuracy, reliability, and fusion for different mobility applications. His team has the opportunity to get their hands dirty with multisource real traffic and transit data such as loop detectors, infrared beacons, radars, Bluetooth and WiFi MAC scanners, GTFS, transit Smart Card, 3rd party (Taxi, Intelematics, Here, Waze, etc.), traffic signals and emerging connected vehicle technology (SPATEM, MAPEM). A list of selected research projects aligned with transport data analytics are:
    • Field trial evaluation for Cooperative Intelligent Transport Systems: Signal use case availability and reliability (ongoing, expected completion 2021)
    • Vehicle detectors evaluation (ongoing, expected completion 2021)
    • Data Visualization: Intersection and route level performance measure (completed 2020)
    • Interactive big data visualization for decision making: A prototype for mobility data (completed 2020)
    • Reverse engineering on Emergency Vehicle Pre-emption (EVP) and STREAMS data: Empirical insights and visualization (completed 2019)
    • Comparative overview of Addinsight and Intelematics data (completed 2017)
    • Insights on the comparison of Waze and STREAMS Incident Management System records (completed 2017)
    • Accuracy and reliability of the travel time estimates from Bluetooth MAC scanners (completed 2013)
    • Crowd monitoring using Bluetooth and Wifi scanners (completed 2013)
  • Modelling and simulation: The availability of large-scale real data for research and training (acknowledgements to TMR, BCC, netBI, Black & White Cabs) establishes an evidence based foundation for the modelling and simulation of large urban networks. Aspro Bhaskar’s team is engaged in reverse engineering on the traffic and transit monitoring data sets for better situation awareness, multimodal modelling of the demand (origin destination matrices) and supply for large urban networks, predictive analytics for traffic state forecasting, and calibration and validation of large‑scale simulation models. A list of selected research projects aligned with modelling and simulation theme are:
    • Queen’s Wharf Brisbane Phase-3: Longitudinal study on mobility patterns (ongoing, expected completion 2024)
    • Data driven traffic assignment: Exploiting Bluetooth vehicle trajectory data (ongoing, expected completion 2023)
    • Demand estimation for online simulation for large scale urban network (ongoing, expected completion 2023)
    • Data Evaluation Methods and Insights (ongoing, expected completion 2021)
    • Simulating public transit priority systems on Brisbane network (ongoing, expected completion 2023)
    • Transit spatial gap identification: Exploiting big traffic and transit data (completed 2021)
    • Network scale arterial traffic state prediction: Fusing multi-sensor traffic data (completed 2020)
    • Origin destination matrix estimation using big traffic data: A structural perspective (completed 2020)
    • Macroscopic model based urban network signal optimization (completed 2019)
    • Traffic flow modelling for non-lane and quasi lane disciplined traffic behaviour (completed 2018)
    • Incorporating Bluetooth vehicle trajectories for OD estimation (completed 2019)
    • Predictive modelling of disturbances in public transit network (completed 2018)
    • Transit benchmarking: Modelling the productivity, effectiveness, and efficiency of transit routes (completed 2017)
    • Incident duration modelling and system optimal traffic re-routing (completed 2017)
    • Exploring properties of macroscopic fundamental diagram (completed 2014)
    • Multimodal and multi‑objective trip planner (completed 2014)
    • Motorway and arterial travel time estimation (completed 2014)
  • Operations and Control: Real time traffic control is vital to reduce congestion on our urban networks. Aspro Bhaskar’s data analytics, modelling and simulation expertise from the above-mentioned pillars is further extended to develop algorithms to control the traffic flow on networks for efficient and safe mobility. Selected examples of the research project under this theme are:
    • Next generation of traffic signal control (ongoing, expected completion 2023)
    • Optimal Signal Control Strategy for Heterogeneous Less Lane-Disciplined Traffic Conditions (ongoing, expected completion 2023)
    • Extended cell transmission model for arterial traffic and its application to design a robust signal plan (completed 2020)
    • Automated Vehicle Trajectory Planning for Motorway On-Ramp Merging (completed 2019)
    • Coordinated ramp signalling factory testing and implementation in TMR’s STREAMS platform (completed 2018)
    • Incorporating fail safe feature for coordinated ramp signalling (completed 2018)
    • Review of Traffic Management Systems (completed 2017)
    • Utilising big transit data for transfer coordination (completed 2015)

Aspro Bhaskar co-leads Business and Engineering Systems domain for the QUT Centre for Data Science (CDS), where he aims to establish a platform to initiate and incubate trans-disciplinary collaborations with a common interest towards cutting edge data driven solutions to the challenges faced by the business and engineering industries. Feel free to contact him to know more about the QUT data science and mobility expertise.

Aspro Bhaskar is serving as the Academic Lead International and Engagement for the School of Civil and Environmental Engineering at QUT. As member of the school executive committee, he is actively engaged in shaping the industry and international engagement strategics for the school. Feel free to contact him for engagement with School of Civil and Environmental Engineering.

Aspro Bhaskar is co-chair for the World Conference on Transport Research Society (WCTRS) SIG-C3 on Intelligent Transport Systems (ITS). This SIG objective is to facilitate closer links between the research communities, institutions and practitioners working in the area of ITS to develop and exchange ideas and methodologies. To join the group, or for more information, please feel free to contact him.

He holds a PhD in Intelligent Transport Systems from École polytechnique fédérale de Lausanne (EPFL),   Lausanne, Switzerland, Masters in Transport Engineering from the University of Tokyo, Tokyo, Japan, and a Bachelor of Technology (BTech) degree in Civil Engineering from the Indian Institute of Technology, Kanpur, India.  He has completed Graduate Certificate in Academic Practices (GCAP) from QUT which is focused on enabling academic staff professional development centred on learning and teaching in higher education.

This information has been contributed by Associate Professor Ashish Bhaskar.

Teaching

Current:

  • EGB489: Advanced Transport Modelling ( Coordinator & Lecturer ): 3rd-4th year EN01 elective
  • ENB272: Traffic and Transport Engineering ( Coordinator & Lecturer ): 2nd year EN01 unit
  • EGB100 Engineering Sustainability and Professional Practice (co-coordinator): 1st year EN01 unit
  • Project supervisor for Engineering capstone units: EGH401,  EGH402 and EGH408
  • Project supervisor for Master of Information Technology project units: IFN711 & IFN712

Past units:

  • UXB112: Introduction to Structures  (Coordinator & Lecturer): 1st year unit
  • EBB382: Estimating in Engineering Construction  ( Coordinator ): 4th year EN40 unit
  • ENB379: Transport Engineering and Planning Applications ( Lecturer ): 4th year EN40 unit
  • ENB110: Engineering Statics and Materials ( Lecturer ): 1st year EN40 unit
  • UDN579: Transport Infrastructure ( Lecturer ): 3rd year elective
  • ENN589: Intelligent Transport Systems ( Coordinator & Lecturer ): Master’s unit
  • ENB376: Transport Engineering  ( Lecturer ): 3rd year EN40 unit
  • UXB112: Introduction to Structures  ( Lecturer ): 1st year unit
  • UXB212: Designing Structures ( Lecturer ): 2nd year unit
  • EGB384: Bidding, Estimating and Cost Management ( Coordinator ): 4th year EN01 unit
This information has been contributed by Associate Professor Ashish Bhaskar.

Experience

Current Positions:

Past Positions: 

  • Senior Lecturer (Transport Domain), Queensland University of Technology (2014- 2019)
  • Lecturer (Transport Domain), Queensland University of Technology (2011-2014)
  • Domain Leader for Integrated Traveller Information, Smart Transport Research Centre, QUT (2011-2014)
  • Scientific collaborator,  LAVOC, Swiss Federal Institute of Technology, Switzerland (2009-2010)
  • Research Assistant  and PhD candidate, LAVOC, Swiss Federal Institute of Technology, Switzerland (2006-2009)

Academic Qualifications:

This information has been contributed by Associate Professor Ashish Bhaskar.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Awards

Awards and recognition

Type
Editorial Role for an Academic Journal
Reference year
2018
Details
Editorial board member for the Journal of Big Data Analytics in Transportation
Type
Committee Role/Editor or Chair of an Academic Conference
Reference year
2017
Details
Member, Standing Committee on Transit Management and Performance, Transport Research Board (TRB)
Type
Editorial Role for an Academic Journal
Reference year
2017
Details
Lead Guest Editor Special Issue on Modelling Opportunities and Challenges with the Emerging Tra«c and Transit Data Journal of Advanced Transportation http://mts.hindawi.com/submit/journals/jat/moch/
Type
Editorial Role for an Academic Journal
Reference year
2015
Details
Editorial board member for the International Journal of Intelligent Transportation Systems Research

Supervision