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Optibus uses AI in drive to reduce travel delays

OnTime’s advanced algorithms predict the hindrances to timely performance and aim to increase ridership

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OnTime analyses masses of data created during daily transit operations
OnTime analyses masses of data created during daily transit operations

Optibus has announced introduction of an artificial intelligence (AI-driven) travel optimisation solution to help transit operators to reduce delays and provide improved on-time service for passengers.

 

OnTime is cloud-based SaaS software that uses advanced scheduling algorithms to help transit planners determine the combination of parameters that impact on-time performance including rush hour traffic, driver behaviour, and vehicle type.

 

According to Optibus, as new mobility alternatives gain traction worldwide, the expectations for improved service and quality are putting increased pressure on public transit providers. Timely performance is one of the mass transit industry’s key parameters when measuring reliable service.

 

Since transit providers typically see a direct correlation between their quality of service and increased ridership, many transit operators are focused on improving their on-time performance to meet passengers’ expectations.

 

“Public transportation plays a crucial role in moving people throughout a city, but poor service is diverting passengers – especially Millennials - to other transit means,” said Amos Haggiag, co-founder and CEO of Optibus.

 

“Optibus OnTime is uniquely positioned to break this pattern by predicting hindrances to timely performance and focusing on helping transit providers increase ridership, while avoiding penalties for the operators.”

 

The system collects and analyses historical operational data from GPS systems and other external sources to detect potential delays and present alternative scenarios for scheduling changes and vehicle and labour resource allocation. The platform also identifies the cost implications of these changes to create a transit plan which is both cost effective and punctual, enabling transit planners to make better informed business decisions, said Optibus.

 

“Although the OnTime solution was initially designed to help transit operators improve efficiencies and streamline their operations, the passengers are those who will eventually benefit from its implementation” added Eitan Yanovksy, CTO and co-founde, Optibus.

 

“OnTime will enable planners to easily identify areas or routes with a high probability of delay, and easily decide how to improve the service, before disruptions even start. This will reduce rider frustration, and, over time, make the service increasingly efficient and reliable.”

 

Optibus was founded by Amos Haggiag and Eitan Yanovsky in 2014 and is a vendor of city-wide mass transportation planning and operation. By leveraging the power of machine learning and optimisation algorithms, it redefines the way mass transportation is planned and operated.

 

The company claims its cloud platform is in use by transit providers in more than 200 cities worldwide, helping them improve quality of service, increase efficiencies, save money, and streamline their operations.

 

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