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Seeking solutions to enhance delivery of transport services

IPI Singapore
Tags: Singapore, RIE Industry Day, Transportation, Public transport, Real-time information, Vehicle punctuality, Operational efficiency, Innovation
Audience: Students, Researchers, Start-Ups, Businesses, Subject Matter Experts, Other
Anticipated Funding: TBC
Applications close: June 30, 2019
Last Updated: June 13, 2019 12:29 AM
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The Challenge

This company provides transport services to clients, and they find that current methods of service provision is highly manual in nature, requiring significant amount of experience and manpower. With advancements in digital solutions, such as artificial intelligence and big data, this could be further improved to increase operational efficiency and the service level provided.

Currently, scheduled transport services require service controllers to determine which service to allocate more resources to in order to reap the most benefits and reduce waiting time required for passengers. The chartered transport services are also manually tracked for vehicle punctuality, and the decisions to manage operational deviations, such as late or missed trips, are also handled manually. Furthermore, to address operational deviations, last minute activation of replacement vehicles and drivers are manually conveyed via off-the-shelf methods, such as mobile messaging applications.

The company is thus keen to implement solutions that would enhance operational efficiency and improve their service offering through the adoption of digital technologies. This should enable capabilities such as, detection of vehicle punctuality in real-time, predicting the likelihood of operational deviations, managing last minute activation of resources for replacements.

Solution providers should be open to work closely with the company to test the solution in phases, and further develop the solution to meet the requirements. The initial phase may involve small-scale pilot trials of the solution, in order to demonstrate the feasibility.

Technical Specifications

Proposed solutions should be able to (but not limited to):

  • Detect vehicle punctuality in real-time
  • Predict the likelihood of late/missed trips, e.g. based on analysis of real-time information on traffic, weather, etc.
  • Propose a solution to alleviate predicted late/missed trips
  • Manage the last-minute activations of various resources, i.e. ensure replacement vehicles are informed on where to go and who to pick up

Eligibility Criteria

The Event is open to global and Singapore-based research providers, students, or companies (start-ups, SMEs or larger companies).

We recommend that you consider the Technology Readiness Level that Problem Owners are seeking for when submitting solutions, as well as whether there is any requirement for selected applicants to have a physical presence in Singapore.

Global applicants must be prepared to bear any travel cost, be it for the face-to-face meeting on RIE Industry Day 2019, or for subsequent follow-up meetings. Subject to the approval of the Problem Owner, a teleconference meeting can be set up between the Problem Owner and shortlisted Solver for the first meeting.

Terms and conditions

For complete details on the terms and conditions that govern the challenge please refer to the website.

How to apply

To submit an application to the challenge please refer to the website.