R. Kutadinata, R. Thompson, and S. Winter, “Cost-efficient Co-modal Ride-sharing Scheme Through Anticipatory Dynamic Optimisation,” in Proceedings of the 23rd ITS World Congress, 2016.
This paper considers the vehicle routing problem when dealing with a co-modal demand-responsive transport service. The vehicles in the service are shared among two modes of customers, passengers and goods deliveries. In particular, this paper develops a conceptual model in order to explore the performance of such a service with two different optimisation algorithms, namely deterministic re-optimisation and the Multiple Scenario Approach (MSA). An important contribution of this work is the formulation of the co-modality as a pick-up and delivery problem with time windows (PDPTW). In addition, the effect of using various constraints and penalty functions in the optimisation formulation will be investigated. The experiment will be carried out in a vehicle routing simulation developed in MATLAB by using a demand scenario obtained from the Victorian Integrated Survey of Travel and Activity (VISTA) data. In the model, the performance of the algorithms is measured by the operating cost, the number of customers whose time-window constraints are violated, and the average wait and detour time.
This paper won the Best Vision Paper award and the CCC Blue Sky Ideas award. Read more in the CCC website.
Since in many cities transport infrastructure is operating at or beyond capacity, novel approaches to organize urban mobility are gaining attraction. However, assessing the benefits of a measure that has disruptive capacity in a complex system requires a carefully designed research. This paper takes a recent idea for urban mobility – flexible road trains – and illustrates the computational and research challenges of realizing its full potential and describing its social, ecological and economical impact.
Considering the sprawl of the cities, the conventional public transport (CPT) with fixed route and fixed schedule becomes less efficient and desirable every day. However, the emerging technologies in computation and communication are facilitating more adaptive types of public transport, such as Demand Responsive Transport (DRT) systems, which operate according to the demand. It is crucial to study the feasibility and advantages of these systems before implementation to prevent failure and financial loss. In this work, a realistic model is provided by incorporating a dynamic routing algorithm into an agent-based traffic simulation to compare DRT and CPT. This model provides a high spatial and temporal granularity, which makes it possible to analyze the results on an individual level. The results showed that replacing CPT with DRT will improve the mobility by decreasing the perceived travel time by passengers and without any extra cost under certain circumstances.
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):
The group submitted five abstracts for poster presentations in the Disrupting Mobility Summit: A global summit investigating sustainable futures to be held in November, Cambridge MA. All five were accepted. This summit is an interactive forum for leading executives, government representatives, and academics to discuss sustainable futures of transportation. It will bring together around 350 mobility experts from different continents. The program will tackle current trends in mobility by attracting thought leaders from companies, governments and academia. More details about the summit can be found here.
Here is the list of the posters we will present at the summit:
R. Kutadinata, R. D. Das, C. Duffield, S. Jain, 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
Ronald, R. Thompson, R. Kutadinata, S. Winter, “Optimizing shared on-demand passenger and goods mobility.”
Navidikashani, S. Winter, N. Ronald, R. Kutadinata, “Disruptive effects of demand responsive transport systems on mobility.”
Wang, N. Ronald, R. Kutadinata, S. Winter, “How much is trust: The cost and benefit of ridesharing with friends.”
S. Jain, N. Ronald, R. Thompson, R. Kutadinata, S. Winter, “Exploring susceptibility of shared mobility in urban space.”
From left to right: Yong Geol Kim, Russell Thompson, Jonghak Han, Stephan Winter, Bongman Seo, Ronny Kutadinata, Yaoli Wang, and Zahra Navidikashani.
On 27 August 2015, we had academic visitors from South Korea, namely Yong Geol Kim (Kunhwa Engineering & Consulting), Jonghak Han and Bongman Seo (both from the Incheon Development Institute). The purpose of their trip was to investigate the operation of DRT services in Melbourne for the development of possible DRT services in Ganghwa County, Incheon. Currently, some regular bus lines in Ganghwa County are experiencing very low uptake, which sparked their interest of implementing DRT in those low-demand areas away from the city centres. They were particularly interested in the operations of PTV’s Telebus in Lilydale and Flexiride in Yarrawonga. and the government’s approach to handle legal controversies of DRT services. In addition, during the meeting we presented the progress of the project, ideas, and preliminary findings. We will keep in touch with them for future possible collaborations.
Nicole Ronald, Russell Thompson, Stephan Winter (2015), Simulating Demand-responsive Transportation: A Review of Agent-based Approaches. Online first (16 Mar 2015), Transport Reviews.
In light of the need to make better use of existing transport infrastructure, demand-responsive transportation (DRT) systems are gaining traction internationally. However, many systems fail due to poor implementation, planning, and marketing. Being able to realistically simulate a system to evaluate its viability before implementation is important. This review investigates the application of agent-based simulation for studying DRT. We identify that existing simulations are strongly focused on the optimisation of trips, usually in favour of the operator, and rarely consider individual preferences and needs. Agent-based simulations, however, permit incorporation of the latter, as well as capture the interactions between operators and customers. Several areas of future research are identified in order to unify future research efforts.
On Friday 20 February 2015, the third annual iMoD workshop took place at the University of Melbourne.
Discussions at the 2015 iMoD workshop.
This year, we have several research students working on the iMoD project, so we had a range of in-depth 20 minute presentations to 5 minute lightning presentations from those who have recently joined the project.
Over the next year, we will focus on bringing together all these strands, focusing on demand generation for DRT and developing decision support tools to assist decision makers in implementing DRT services in Victoria and elsewhere.
Shubham Jain will be attending CAITR (Conference of Australian Institutes of Transport Research) on 12-13 February, hosted by the Melbourne School of Engineering. He will be presenting work-in-progress on his MPhil thesis, focusing on the simulation of demand for demand-responsive transportation.
Mobility and accessibility is a problem for growing cities. To meet this challenge in a sustainable way, taking congestion, fuel consumption, and environmental impacts into consideration, new forms of transport need to be considered. One possible solution is Demand Responsive Transport System (DRTS) which provides flexible point-to-point service on casual requests. It operates at flexible routes and does not have pre-defined schedules. Before deploying a DRTS, we need to simulate the facility and we require to predict travel demand for it. Activity-based micro-simulation models for travel demand explicitly recognise that individuals and households are the actual decision makers, and that travel demand is derived from travellers’ desire to participate in spatially dispersed activities. This research attempts to predict travel demand for DRTS using activity based modeling. This paper presents early research and findings on generating synthetic population of city of Melbourne using PopGen and PopSynWin software and their comparison. Further research would assign travel diaries to synthetic population using Victorian Integrated Survey of Travel and Activity (VISTA) data and predict mode shift to DRTS.
Joann Yang, a research assistant in Infrastructure Engineering at the University of Melbourne, will also present a literature review on on-demand freight transportation. This is part of another paper in preparation for the upcoming City Logistics conference, which uses the demand-responsive transport simulations developed as part of the iMoD project to explore on-demand, shared passenger/goods travel.
Note that both Russell Thompson and Nicole Ronald are involved in organising CAITR, so will be present as well. We are looking forward to welcoming all the participating students, researchers, and practitioners from around Australia!