Pillar 1: Modeling, Simulation and Assessment
Develop and integrate state-of-the-art behavioral models with simulation tools to predict the impact of different mobility portfolios, including flexible mobility on demand services and autonomous mobility, on travel demand and activities, both for passengers and freight, and on transportation networks and land-use.SimMobility Freight
Develop agent-based models for the movement of goods and materials in the urban environment. Commodities will be traced through their entire life cycle; from its production, its distribution through various channels and its consumption by an end-consumer, to its final disposal or recycling. All relevant transport and logistics choices will be simulated using behavioral models, estimated based on innovative data collection methods.
Pillar 2: Control, Optimization and Planning
Develop a multi-modal network state estimation and prediction system that utilizes heterogeneous real-time data from a variety of sources to assess the impact of congestion-causing planned and unplanned events and optimize interventions/network management strategies to facilitate the real-time deployment of measures to mitigate congestion.Data-Driven Traffic Modeling and On-Demand Route Guidance under Uncertainty
Develop novel algorithms using data from many heterogeneous sources in order to (i) track and predict paths in dynamic transportation networks, (ii) provide on-demand route guidance under uncertainty, and (iii) address operational fleet management strategies (taxi fleet, location and routing of emergency vehicles), based on a combination of optimization, data-fusion, machine learning, and novel behavioral techniques.Next-generation Traffic Control
Develop an optimal vehicle traffic management system and the corresponding autonomous control mechanism so that the transportation infrastructure can support the maximum amount of traffic with minimal traffic congestion throughout the system. Such a system is likely to include mechanisms for traffic scheduling, routing, and flow control.Mobility Management
Combine behavioral science and transportation technology to envision a future urban mobility system for Singapore that combines public transit, walking and bicycling, shared mobility and autonomous vehicles.Mobility on Demand
Develop models and algorithms to configure dynamically portions of the public transportation service network to meet mobility demands in real- time; the objective is to provide passenger-centric, timely service while minimizing costs and maximizing system efficiency.
Pillar 3: Devices and Systems
Assess and demonstrate the role of autonomy in mobility-on-demand and its impact in terms of feasibility, safety, and efficiency through modelling and simulation, algorithm development and experimental demonstration (“Autonomy for Mobility-on-Demand”).LIVE Singapore! 2.0
A platform for the collection, analyzing, distribution and visualization of urban mobility data from different sources in Singapore that can serve as the active application of a semantic web platform to the management of the city, and form the basis for crowd sourced open application development.Future Mobility Sensing (FMS)
Development of a next generation individualized mobility sensing system that leverages advanced mobile technologies and machine learning techniques to capture high resolution, multi-day human behaviour and vehicular and freight movements and related preferences and satisfaction information; and, to provide a platform for providing feedback to users for behavior modification to, e.g., reduce energy use and environmental impacts.Flocktracker
Create a standalone platform, including surveyor and tracker capabilities, project builder, credential system, data visualization and survey monitoring capability; continue to promote deployment of the technology in a range of settings; finalize the analysis of its capability for walk auditing in Singapore; develop new collaborative uses in Singapore; seek spin-off opportunities.