Nicole Ronald @naronresearch The University of Melbourne/ Swinburne University of Technology, Australia Overview Current landscape in Melbourne Current projects: iMoD, PPTS Where to next? Melbourne Berlin: 3.5m, 891 km2 Singapore: 5.5m, 716 km2 Melbourne: 4.4m, 9900 km2 iMoD Partners: Public Transport Victoria, benefactor interested in novel transportation, Yarra Trams, VicRoads Collaborators: CS, optimisation, transport, GIScience Main aim: simulating viability of DRT systems iMoD team (MATSim subset) Nicole Zahra Shubham Stephan (+ Russell) Simulations Type Name Isolation Integrated (with other traffic) Model Stop type Speed Delphi Node Constant speed, based on links MobilityTestbed Node Constant speed, based on vehicles SUMO Traffic microsim Stop Varying speed (accel/decel) MATSim Agent-based sim Node Speed-flow curves N. Ronald, R. G. Thompson, and S. Winter, “Simulating ad-hoc demandresponsive transportation: a comparison of three approaches,” under review. Location: Yarrawonga/Mulwala 275km (171 miles) from Melbourne Pop: 7,500 / 1,900 (2011) Area: 95.0km2 / 18.6km2 Yarrawonga 400 N. Ronald, R. G. Thompson, and S. Winter, “A comparison of constrained and ad-hoc demand-responsive transportation systems,” in Proceedings of the Transportation Research Board 94th Annual Meeting, 2015 (TRR forthcoming). 250% 225% 200% 175% 150% 250% 225% 200% 175% 150% 0 125% 0 100% 100 75% 100 125% 200 100% 200 Ad-hoc 300 75% VKTs 300 50% Flexiride 50% VKTs 400 Results Ad-hoc performs better for passengers • Improved wait and travel times Optimisation type has little effect at low demands Increasing fixed headways provides compromise • Small increases in VKTs/drive time • Decreases in wait time and efficiency Onwards and upwards Which areas are suitable for a DRT service? (Zahra, PhD) How can demand be predicted/ estimated? (Shubham, MPhil) New optimisation processes and DRT schemes WIP: co-modality Exploring the effect of shared travel between parcels and passengers Shared vehicles è more even spread of occupancy, better performance N. Ronald, J. Wang, and R. G. Thompson, “Exploring co-modality using on-demand transport systems”, submitted to City Logistics 2015. WIP: daily demands/interactions Exploring the influence of others/ information on demand for DRT More passengers = longer wait, longer travel è deter people Fewer passengers = quicker travel PPTS IBM’s vision for future transportation A. Vishwanath, H. S. Gan, S. Kalyanaraman, S. Winter, and I. Mareels, “Personalised Public Transportation: A New Mobility Model for Urban and Suburban Transportation,” in Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, Qingdao, China, 2014. Where to next? User: a person who uses or operates something; a person who exploits others Proof of concept for Melbourne? Finding/adapting/developing appropriate solution for the problem Nicole Ronald @naronresearch The University of Melbourne/ Swinburne University of Technology, Australia
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