The objective of the Area-Interlinking Design Analysis group is to provide a scientific basis to the questions pertaining to what autonomous mobility means to a megacity like Singapore. It will converge the research outcomes of each group within TUMCREATE towards the common goal of defining and realising the Ultimate Public Transport System for Singapore.
Our research enables the analysis of autonomous mobility concepts from a complex systems perspective. In doing so we aim to answer the following questions associated with AV technology which at present cannot be tested in the real world:
What are the disruptive potentials of using autonomous vehicles and mobility concepts in a mega city like Singapore?
What is the impact of introducing autonomous vehicles on the existing infrastructure and traffic?
What are the optimal strategies for efficiently operating autonomous vehicles and fleets within the realm of public transport?
Design Analysis for Autonomous Mobility
Answering questions on the effect of autonomous vehicles operating at a city scale requires a complex systems approach. AV behaviour can no longer be studied in isolation and requires the holistic inclusion of urban mobility. It also requires advanced AV models that include aspects such as comfort, energy, safety and security which are inherently critical for the acceptance of AV based mobility services.
The design analysis touches different aspects of autonomous mobility, which includes (1) interfaces to public transport models, (2) advanced AV behaviour models that not only focus on the movement of the vehicles, but also take human factors like comfort and systemic properties like energy consumption into account, (3) pedestrians that interact with the autonomous vehicle as well as (5) the infrastructure information devices of a city provided by smart devices. This can be researched and evaluated using immersive visualisation techniques like virtual reality, augmented reality and Cave Automatic Virtual Environment systems.
City Mobility Simulator CityMoS
CityMoS is targeted to be a beyond the state-of-the-art City Scale mobility simulator with focus on autonomous mobility from a complex system perspective.
It is being developed in the form of a modular and layered architecture. It inherits rich modelling and simulation experience gained in the development of the simulator SEMSim during TUMCREATE Phase 1.
At its core is the Mobility Operating System (moOS) which is a meta operating system implementing the essential components for the core simulation engine for agent-based mobility simulations. This is analogous to the kernel space in native Operating Systems and composed of low-level components essential for the runtime environment (scheduler, agent factory, communication, configuration, HPC, etc.).
Above the core resides a collection of libraries and toolsets for developing mobility-based simulation studies and scenarios. This user space infrastructure focuses on autonomous mobility, electromobility, pedestrian and public transport features. These features are not intended to be developed from the ground up but will make use of existing mature simulation technologies through unified and user-friendly interfaces for interoperability between complex system simulators.
The multitude of tools and functionalities developed within CityMoS are aimed towards domain experts who might not necessarily have simulation experience. Therefore, a user-friendly development infrastructure is planned through templating, toolchains, cloud service, simulation workflow management tools and structured documents.