Mobility and transport
As the world increases its population, getting from place to place becomes more challenging if we do not find new ways to do move around.
This theme will focus on how to improve mobility for all whilst working towards zero emissions and minimal impact on the environment. It will also address how we can meet the future demand.
There are so many questions to answer and attitudes to change such as shifting mindsets from ownership to sharing.
There are transport systems in place, so how can these improve and be better integrated? How can the technologies used and data collected by Traffic Management Systems be better managed?
Finally, what are the gaps in knowledge and existing infrastructure/ operating systems that prevent us from making progress.
We are eager to work with people and organisations on research that fits this theme. Some possible research examples might be:
- how to optimise the return on Advance Traffic Management Systems (ATMS)?
- to what extent can people flow management through image processing technology help predict and manage congestion?
- what technologies are most suitable to protect vulnerable road users from car and truck accidents and what is the path to mass deployment of these technologies?
If you have an idea for research and want to be a part of our network, contact us with your ideas.
We are able to undertake work for organisations and governments. Talk to us about how we can help you. Some examples include:
- analysis of data and provision of reports to advise on planning public transport in fast growing cities
- feasibility studies – for example, strategies to win more passengers for shared modes of transport
- economic modelling – for example, what are the cost benefits of smart mobility for improved public transport linkages, walkability, multilevel parking and improved design of roads
Current research projects
Real-time crash prediction in disordered traffic
This project aims to develop real-time crash prediction models for disordered traffic on urban roads and intersections.
Utilising high resolution multimodal trajectory data being collected by an on-going project at IIT Kanpur, surrogate safety measure and crash precursors will be identified and analysed.
Real-time crash prediction models with different predictive horizons will then be developed using deep learning techniques such as short-term memory networks.
Project ID: 2-EOI-IITK
Electric-assist bicycle (e-Bike) mobility planning for smart cities: Fostering active transportation to improve public health, air-quality, sustainability, and efficiency during COVID-19
This project will investigate whether e-bikes offer a better replacement to motor vehicles than unassisted bicycles and thus encourage people to use this clean and healthy mode of transport to improve quality of life through reduced traffic congestion and carbon emissions. It also will investigate whether it will assist those with a mostly sedentary lifestyle to increase their levels of physical activity and reduce the risk of health challenges.
- Dr Rodrigo Rico Bini (La Trobe University)
- Dr Jayden Hunter (La Trobe University)
- Dr Bandhan Bandhu Majumdar (BITS Pilani)
- Dr Prasanta Kumar Sahu (BITS Pilani)
Project ID: 10-EOI-BITSP
Future of India-Australia Agribusiness Trade in an Era of Reglobalization: A Supply Chain Management Perspective
This research aims to explore how supply chain collaboration among groups of importers and/or exporters can successfully reduce production/logistical costs along with work for new trade agreements. We will combine national input output data along with trade statistics to identify the global value chains in various sectors and decipher value added in bilateral trade flows. The study will generate innovative supply chain solutions and promote collaboration among multiple clusters of Indian and Australian exporters and importers, with special focus on micro, small and medium enterprises and low-income consumers.
- Dr Sobhan (Sean) Asian (La Trobe University)
- Dr Timothy Clune (La Trobe University)
- Associate Professor Murali Prasad Panta (IIT Kanpur)
- Professor Somesh Mathur (IIT Kanpur)
Project ID: 47-EOI-IITK
La Trobe Academics
- Professor Damminda Alahakoon
- Dr Sobhan (Sean) Asia
- Dr Avinash Baji
- Dr Paulina Billett
- Dr Rodrigo Rico Bini
- Professor Yi-Ping Phoebe Chen
- Associate Professor Naveen Chilamkurti
- Professor Aniruddha Desai
- Professor Henry Duh
- Dr Jayden Hunter
- Associate Professor Marcel Jackson
- Dr Malliga Marimuthu
- Professor James Maxwell
- Dr Julie Rudner
- Dr Alex Stumpf
- Dr Long Truong
- Dr Peter Van Der Kamp
- Dr Brooke Wilmsen
- Professor Wei Xiang
You can download the complete file of one-page profiles for La Trobe Academics here [PDF 1.3MB]
Indian Institute of Technology (IIT) Kanpur Academics
- Professor Avinash Kumar Agarwal
- Professor Bishakh Bhattacharya
- Dr Pranamesh Chakraborty
- Professor Partha Chakroborty - IIT Kanpur Theme Leader 1
- Associate Professor Ashoke De
- Professor Ashish Garg
- Associate Professor Anubha Goel
- Dr Salil Goel
- Associate Professor Raju Kumar Gupta
- Professor Tarun Gupta
- Dr Venkatesan Kanagaraj
- Associate Professor Krishnacharya
- Professor Somesh Kumar Mathur
- Dr Akhilesh Mimani
- Professor Murali Prasad Panta
- Dr Jillet Sarah Sam
- Associate Professor Ankush Sharma - IIT Kanpur Theme Leader 2
You can download the complete file of one-page profiles for IIT Kanpur Academics here [PDF 1.1MB]
Birla Institute of Technology and Science (BITS) Pilani Academics
- Dr Manjanna B
- Dr Ashutosh Bhatia
- Dr Dipanjan Chakraborty
- Dr Sai Sesha Chalapathi Gattupalli
- Dr Benu Madhab Gedam
- Professor Navneet Goel
- Professor Chittaranjan Hota
- Dr Rajesh Kumar
- Dr Rajib Ranjan Maiti
- Dr Bandhan Bandhu Majumdar
- Associate Professor Hitesh Datt Mathur
- Associate Professor Bivudutta Mishra
- Professor V Vinakaya Ram
- Professor N V M Rao
- Dr Gujji Murali Mohan Reddy
- Professor Srinivasa Prakash Regalla
- Dr Parikshit Sahatiya
- Dr Prasanta Sahu
- Professor Kuldip Singh Sangwan
- Dr Suchismita Satpathy
- Dr Paresh Saxena
- Dr Piyush Chandra Verma
You can download the complete file of one page profiles for BITS Pilani Academics here [PDF 1.3MB]