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Technology Overview
Uber and Uber-like services have been rocking the taxi industry globally for the past few years. Traditional taxi companies have been slow in responding to these challenges. The development of DGS technology aims to help taxi drivers to compete against ride-hailing technologies by providing guidance to an area with predicted demand (i.e. actionable driving decision) that would help drivers shorten their empty cruising time before finding the next passenger. |
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Features & Specifications
The taxi driver guidance system is designed to assist taxi drivers in making decisions regarding where to roam in a city in order to maximize their chances in picking up potential passengers.
The DGS is designed to balance taxi demand and supply dynamically, and taxi in turn reduce empty taxi cruising time. This archieved through the application of real-time taxi analytics to anticipate where demands would most likely be, and providing guidance to drivers on where to go.
An important technical innovation of our DGS technology is its ability in generating personalized recommendations for hundreds or even thousands of drivers. These personalizations are achieved by considering the status of all taxis and the demand occurrences in real-time.
The DGS provides recommendation at 3 levels – zone, region and street.
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Potential Applications & Benefits
The DGS technology primarily aims to help taxi drivers compete against ride-hailing technologies by providing driver-specific guidance on which region and roads to roam in order to improve the driver’s income.
The DGS technology can be applied to the transport industry – taxi drivers, fleet operators, transport agencies – to improve driver income level and passenger service level.
The DGS technology is expected to increase the number trips by at least 10%, and reduces empty cruising time for guided drivers.
 DGS Simulation DGS Simulation |
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