Making Our Roads Safer

The Intelligent Transport Systems (ITS) and mobility landscape is rapidly evolving, driven by disruptive technologies. Artificial intelligence, ubiquitous sensors, and advanced analytics are creating unprecedented opportunities to enhance road safety and efficiency through real-time data collection and analysis. This technological revolution opens up new avenues for harnessing data and digital tools to create a road network that is safer, more responsive, efficient, and user-friendly.The "Making Our Roads Safer" challenge, jointly organised by the Intelligent Transportation Society of Singapore (ITSS) and Land Transport Authority (LTA), invites participants to explore and exploit this wealth of data and digital tools to address real-world problems and improve road safety. The challenge focuses on key outcomes such as enhancing safety, improving traffic sense-making and management, and increasing the efficiency of traffic planning and operations through AI. Solutions developed during this hackathon have the potential to create safer, more efficient road environments and make a meaningful impact for all road users.

Challenge Details

Find out more about the task objectives, required deliverables, submission and presentation guidelines, as well as the evaluation criteria.

Find out more about the deadlines for registration, submission of deliverables, as well as the relevant event timings here.

Timeline

Hackathon Timeline

Challenge Details

Topic 1. Improving Traffic Sense-Making, Management, and Optimisation

Problem Statement: Traditional traffic operations rely on standard indicators like traffic speed, volume data from sensors, and incident detection from cameras. While effective, these tools often face limitations in geographic coverage due to the high costs of deploying sensors and cameras island wide. Participants are invited to develop innovative, data-driven approaches that enhance traffic sense-making, management, and optimisation beyond the constraints of traditional physical infrastructure.

  • How can we leverage diverse data sources, including third-party and crowdsourced information, to improve data coverage and timeliness in addressing traffic challenges, given the limitations of traditional physical infrastructure?

  • How can we design intuitive and effective visualisation dashboards that improve traffic monitoring, analysis, and decision-making for traffic engineers?

  • How can we leverage existing traffic data to develop innovative, data-centric traffic models that enhance traffic analysis and reduce reliance on complex simulation tools for the testing of alternative traffic scenarios?

Topic 2. Improving Safety

Problem Statement: Road safety remains a critical priority in Singapore, especially as our population demographics and mobility patterns evolve. With an aging population and increasing adoption of active mobility options like walking and cycling, we face new challenges in protecting vulnerable road users. These include elderly pedestrians, who may have reduced mobility or reaction times, as well as cyclists navigating busy streets. Additionally, motorcyclists continue to be at higher risk of severe injuries in accidents. To address these complex safety concerns, beyond targeted traffic measures and education, we need innovative, data-driven solutions. Participants are invited to harness cutting-edge technologies and data-driven insights to create innovative solutions that make our roads safer for everyone.

  • How can we utilise data to analyse and detect risky road user behaviours and develop innovative data-driven solutions to address and reduce such behaviours on the road? Examples of such behaviours include improper lane changes, jaywalking, speeding, tailgating and distracted driving or commuting (e.g. using mobile devices or headphones while walking/cycling).

  • How can we utilise diverse datasets (such as traffic intersections, traffic and driving patterns, weather, geospatial elements, demographics, etc.) to identify risk prone areas and develop proactive safety measures and alert systems?

Topic 3. AI-Based Traffic Planning and Operations

Problem Statement: AI is revolutionising industries worldwide, and traffic planning and operations are no exception. As an emerging trend, AI holds the power to transform and unlock innovative solutions on how we do traffic planning and operations. In traffic planning, we envision a future where AI-driven systems could use data to provide quicker traffic analysis to traffic engineers and planners and even proposed intelligent traffic management strategies that align with community needs. In traffic operations, AI has the potential to enable proactive, automated responses to dynamic traffic situations, enhancing operator’s decision-making, situational awareness, and efficiency.
Participants are invited to harness AI technologies and data to showcase innovative solutions that can transform traffic planning and operations, paving the way toward a smarter, safer, and more sustainable transport networks for all.

  • How could AI be integrated to support traffic analysis, planning, impact assessment and operations?

Submission Details

Categories and Groupings

  • Form teams of up to 4 members

  • Student Category: All current diploma, undergraduate and graduate students from ITE, Polytechnics and Universities in Singapore

  • Open Category: All others who do not fall under Student Category

Expected Deliverables

  • Clear definition of the pain points and the rationale for selecting them

  • Explanation of the proposed solution

  • Functional prototype that showcases the capabilities and impact of the proposed solution

  • Presentation or demo to communicate the innovation, technical approach and business value of the solution

Submission Requirements

  1. Executive summary (1 page):

  • Summarise the key points of the proposal

  1. Presentation slides:

  • Explanation of the challenges, how the solution is derived, and the demonstration of software tools and services used

  • Do include only essential points and ensure that all the information is visible during your presentation.

  • References and links to be placed on last slide.

  1. Video Presentation (10 minutes max):

  • Provide an overview of the solution and demonstration

  • Submit the file in mp4 format

Submission Format

  • Clear definition of the pain points and the rationale for selecting them

  • Explanation of the proposed solution

  • Functional prototype that showcases the capabilities and impact of the proposed solution

  • Presentation or demo to communicate the innovation, technical approach and business value of the solution

Evaluation Criteria

  1. Business value and practical impact

  2. Innovation and creativity

  3. Technical soundness

  4. Scalability and sustainability

  5. Storytelling and presentation

Terms and Conditions

Rules and Guidelines

Judges

Text

(Title/Position)
Description/writeup

Prizes

Student category

OPEN CATEGORY