Driver Behaviour and Fleet Routing/Scheduling in Fleet Management

Overview

ASTRI's developed an intelligent platform to address driving safety and operational efficiency of a vehicle fleet. By analyzing driving behavior as well as the driver’s own actions at the wheel, dangerous driving habits on the road can be identified while the driver's own behavior can also be monitored. Dangerous driving habits, such as getting the vehicle too close to vehicles or pedestrians in front, may lead to accidents. Furthermore, undesired driver behavior such as talking on the phone, dousing off or emotional outburst may jeopardize all passengers' safety, actions that would warrant an alert to the driver. Last but not least, the platform also helps the vehicle fleet in scheduling and routing, targeting courier or special transportation services.

  • Driver Behaviour and Fleet Routing/Scheduling in Fleet Management
Technical name of innovation
Data and Video Analytics on Driving Behavior (ARD/208) ; Intelligent Platform for Fleet Operations (ART/295)
Research completion
09/2018 ; 08/2021
Commercialisation opportunities
IP licensing ; Contract research
Problem addressed
  • The driving behavior of drivers, especially those of public transportation, are critical to safe driving.
  • The emotion and behavior of said drivers are also critical to the safety of all passengers.
  • Inefficient scheduling and routing would add costs to a fleet's operations.


Innovation
  • Facial expression analysis and audio analysis for detection and analysis of driver's behavior and emotion.
  • Video analytics + data analytics for detection and analysis of undesired driving behavior.
  • Scheduling and routing for optimization of a vehicle's run based on pick-ups and drop-off points, as well as traffic and road conditions.
Key impact
  • Improved driving safety by detecting risky driving habits.
  • Improved driving safety by alerting driver of undesired behavior and emotion display.
  • Improved operational efficiency of a vehicle fleet.
Application
  • Driver training for fleet companies
  • Driver monitoring for public transportation
  • Routing/scheduling for vehicle fleets

Patent

  • US App. No. 17/402,643; CN App No. 202180002508.3 and HK App. No. 62022052397.6
Hong Kong Applied Science and Technology Research Institute (ASTRI)

Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence in various areas is grouped under four Technology Divisions: Trust and AI Technologies; Communications Technologies; IoT Sensing and AI Technologies and Integrated Circuits and Systems. It is applied across six core areas which are Smart City, Financial Technologies, New-Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits and Metaverse.

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