Autonomous and Transportation Systems (ATS) Hub

About the Tech hub 

The Autonomous and Transportation Systems (ATS) Hub is part of the core Technology Hubs under the School of Electrical and Electronic Engineering. It aims to provide a conducive environment and infrastructure for staff and students to learn and build up capabilities in the areas of Data Science, AI & Computer Vision, Embedded Systems, Programming & Application Development and Rapid Transit Technologies, through applied Research and Development (R&D) work, hands-on activities and projects.

The ATS Hub has a Rail System Simulator that is designed to train and equip students with technical skills and competencies for the relevant functions of the railway operations. The simulator covers various technical operations, maintenance and management of a Rail Transit System, including Train Control, Signal & Communication, Traction Power, and Integrated Control systems.

The Hub also explores emerging technologies to develop an Autonomous Electric Vehicle. These include enabling technologies such as Sensors, Navigation, Control & Drive Systems, Intelligent Communication, Machine Learning & Artificial Intelligence, Vision, Cloud, Dashboard Design, and Application Programming.

We are seeking collaborations with industry and academic/research institutes in internship programmes, and industry-related and applied R&D projects to improve our competencies.

The Hub is located at Level 2, T8 and Level 1, T12 @ SP.

Capabilities and Technical Services

Backed by the vast experience of the members, the Autonomous and Transportation Systems Hub provides technical consultations, training, seminars and project collaborations to government agencies, educational institutes, businesses and industry partners in these technology areas:

  • Computer Vision and Machine Learning Applications for education and training.
  • Unmanned Systems (land/water/air).
  • Rapid Transit and Rapid Transit Signalling Systems.
  • Autonomous Delivery Systems.
  • Driverless Electric Vehicles.

In addition, we also provide customised courses to retrain and upgrade manpower for the relevant industries.

Project Showcase

Autonomous Electric Vehicle

To demonstrate the capability of the autonomous electric vehicle, a fleet of two driverless vehicles is being developed to provide local mobility within the Singapore Polytechnic (SP) campus. This project allows EEE staff and students to explore the various enabling technologies.
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Rail System Simulator

The Rail System Simulator is equipped with

  • Scaled-down train model system.
  • Simulated Operation Control Centre (OCC) environment.
  • Simulating field equipment and status.
  • Fault simulation and troubleshooting of systems.

The Rail System Simulator provides an authentic platform to train students in the knowledge and application skills to identify the main features and functions found in a Rapid Transit System, namely:
Signalling and interlocking

  • Route setting
  • Train tracking and identification
  • Timetable management
  • Traffic regulation
  • Driver information
Rail Simulator-OCC
Rail Simulator-RHS
Rail Simulator-LHS

 

Collaboration

The hub has worked with the following partners:

  • Land Transport Authority (LTA)
  • Nanyang Technological University (NTU)
  • National University of Singapore (NUS)
  • Singapore Institute of Technology (SIT)
  • Singapore University of Technology and Design (SUTD)
  • SMRT Corporation Limited (SMRT)
  • ST Engineering Land Systems
  • Siemens Singapore
  • TIBCO

Courses and Seminars

We provide customised courses to retrain and upgrade manpower for the industry. Some of the courses we offer include:

  • Artificial Intelligence for Driverless Cars
  • Client-Server Applications Development
  • Condition-based Assets Monitoring Management
  • Data Analytics
  • Electric Vehicle 101
  • Fundamentals of Electric Vehicle
  • Machine Learning and Artificial Intelligence
  • Mobile Applications Development
  • Rapid Transit System
  • Rapid Transit Signalling System
  • Diploma in Engineering (Rapid Transit Technology)

Contact Information

Fauziah Bte Othman

Fauziah Othman (Mdm)
Manager, Technology Development
School of Electrical and Electronic Engineering
Email: Fauziah_OTHMAN@sp.edu.sg
Phone: 67721494
Fax: 6772 1974

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