Tag Archives: conference

24th ACM SIGSPATIAL, San Francisco Bay Area 2016

Stephan Winter, Ronny Kutadinata, Yaoli Wang, and Maria Vasardani attended the 24th ACM SIGSPATIAL held in Burlingame, CA.

20161102_214556 Y. Wang, R. Kutadinata, and S. Winter

The team had several papers accepted, both in workshops and the main conference. They are:

Congratulations to the team!



R. Kutadinata presenting the paper “Autonomous car and ride sharing: flexible road trains.”




O. Wolfson, R. Kutadinata, and S. Winter during award ceremony.

Best poster at Disrupting Mobility


All 5 posters from our group presented at the summit, while the editor was assessing for the award.

We (Kutadinata, Das, Duffield, Jain, Kotagiri, Kulik, Navidikashani, Rigby, Ronald, Thompson, Wang and Winter, with Kelly and Wallace (Monash University)) have won the Best Poster Award at last week’s Disrupting Mobility, a Global Summit Investigating Sustainable Futures held in Cambridge, MA. Our awarded poster, Shared, Autonomous, Connected and Electric Urban Transport, showed results of various aspects of the ongoing ARC Linkage Project Integrating Mobility on Demand in Urban Transport Infrastructures.

Click on the following list to view the presented posters (as PDF files):

  1. R. Kutadinata, R. D. Das, C. Duffield, S. Jain, R. Kelly, R. Kotagiri, L. Kulik, Z. Navidikashani, M. Rigby, N. Ronald, R. Thompson, M. Wallace, Y. Wang, S. Winter, “Shared, autonomous, connected and electric urban transport.” – the big picture of the Linkage Project
  2. N. Ronald, R. Thompson, R. Kutadinata, S. Winter, “Optimizing shared on-demand passenger and goods mobility.”
  3. Z. Navidikashani, S. Winter, N. Ronald, R. Kutadinata, “Disruptive effects of demand responsive transport systems on mobility.”
  4. Y. Wang, N. Ronald, R. Kutadinata, S. Winter, “How much is trust: The cost and benefit of ridesharing with friends.”
  5. S. Jain, N. Ronald, R. Thompson, R. Kutadinata, S. Winter, “Exploring susceptibility of shared mobility in urban space.”

Creating a synthetic population: A comparison of tools

S. Jain, N. Ronald, S. Winter, “Creating a synthetic population: A comparison of tools”, in Proceedings of 3rd Conference of Transportation Research Group, Dec. 2015

Shubham Jain will present his work titled “Creating a synthetic population: A comparison of tools” in Conference of Transportation Research Group in Kolkata, India. In his MPhil research, he plans to use population characteristics and current activity-travel pattern of Melbourne from population census data and existing, self-completed household travel survey (VISTA) in conjunction with insights from usage pattern of some of the existing collaborative transport services in different regions of the world to identify demand of these services here. This kind of demand modelling requires microdata of population at household and personal level as a key input. Unfortunately due to privacy constraints, such data is often not available. To fulfill this lack of data, population can be synthesised to represent actual demographics of study area as per population census. This paper presents the process of creating a synthetic population for a metropolis for the case of Greater Melbourne using 2011 Population Census. Microdata was created for households and persons in Greater Melbourne at statistical area level 1 (SA1). PopSynWin (developed by University of Illinois at Chicago in 2008), which is based on Iterative Proportional Fitting (IPF) algorithm, and PopGen (Population Generator, developed by Arizona State University in 2009), which is based on Iterative Proportional Update (IPU) algorithm, were used as tools for this purpose, generating two different synthetic populations. Microdata within these synthetic populations were aggregated to validate against actual aggregate census data to evaluate its representativeness to original population. Finally, both the generated populations were compared in various ways to use the more accurate of them for further work.