To discover new solutions for public transportation, LTA, SBS Transit and SMRT jointly launched an industry-wide open innovation programme – the Singapore Mobility Challenge in June this year.
2. The Challenge invited participants to come up with innovative ideas on how to tackle challenges in three key areas outlined in the recently published Land Transport Master Plan (LTMP) 2040: 20-Minute Towns & a 45-Minute City, Transport for All and Healthy Lives, Safer Journeys. A total of 112 submissions from 21 countries were received with proposed solutions in response to the challenge statements in rail and bus operations, maintenance and commuter services.
3. Six proposals were shortlisted for a final round of judging to determine the top three winners. These shortlisted teams had the opportunity to work with relevant subject matter experts from LTA, SBS Transit or SMRT to refine their proposals. These proposals were presented to a panel of judges comprising of chief technology officers of the organisers on 20 August 2019.
| S/N | Shortlisted companies
| Challenge Statements |
| 1. | ABEJA (Japan-based company with a local office) | Predicting future fault occurrence for trains |
| 2. | Advanced Vision Analytics (AVA) | Detecting crowd at bus stops |
| 3. | Azendian | Implementing analytics for effective transport operations |
| 4 | Carmen Automotive | Predictive decision support systems for vehicle maintenance |
| 5 | Silentium | Addressing noise levels near residential areas |
| 6 | UVeye | Automatic inspection of bus tyres |
4. During the inaugural Land Transport Industry Day 2019, Senior Minister of State for Transport Dr Janil Puthucheary had presented the top prize to Azendian for their proposal to develop an integrated manpower planning system which could potentially improve operations efficiency. The second and third prizes were awarded to Silentium and Carmen Automotive respectively. These three winners of the Singapore Mobility Challenge received $15,000, $10,000 and $5,000 worth of cash prizes and project funding respectively. Winners also received $12,000 worth of Microsoft Azure Credits each.
| S/N | Winners | Proposed Solutions |
| 1. | Azendian | Azendian has proposed a customised, integrated manpower planning system leveraging data analytics to analyse and intelligently assign staff duty to train and bus operations and maintenance schedules. The system can potentially improve operations efficiency, increase workforce proficiency and productivity; in turn reducing train delays and increasing commuter satisfaction. |
| 2. | Silentium | Silentium has proposed a system that can identify and address noise levels from the LRT network. Using a patented technology, the system would sample noises from their sources and utilise predictive cancelling waves to reduce noise levels. |
| 3. | Carmen Automotive | Carmen Automotive has proposed a predictive decision support system for condition monitoring of vehicles to improve maintenance regimes. Leveraging vehicles’ operating data, the system is able to generate insights of the vehicle’s health and notifications for maintenance to be carried out in a timely manner, and aims to help operators minimise service disruptions and increase cost efficiencies. |
5. Beyond the challenge, the co-organisers will continue to explore further development of the solutions with the start-ups.
