Optibus, an end-to-end software platform for public transportation operations, has announced a new Performance Suite, a package of features designed to improve and predict on-time performance (OTP) of public transport services.
Optibus claims the move has come from a recognition that developing accurate transport timetables is difficult, with poor OTP accordingly affecting service users and transport providers.
The company’s partnership with Ito World, a transit data specialist, has led to the newly-developed Performance Suite, which was designed to support services by analysing data to understand how, when and where issues have occurred. This, in turn, could help providers’ improve OTP, OTP predictions, operational efficiency and passenger experiences.
With the new suite, Optibus customers have reportedly seen a 28% increase in OTP while maintaining peak vehicle requirements (PVR), meaning operational efficiency has improved while costs have been reduced.
“When services are reliable, people are more likely to make public transportation their primary mode of mobility and transportation providers are more likely to win future business,” said Amos Haggiag, CEO and co-founder of Optibus.
“By drawing deeper insights from service data, public transportation providers can resolve issues that negatively impact on-time performance and deliver their best timetables yet.”
The suite includes two new features: performance insights and predictive runtimes.
Performance insights were included to support advanced analytical functions to enable users to gather in-depth data from transport networks to, for example, identify underperforming areas. One of its functions, intuitive replay, offers information about journeys to help reveal root causes of a performance issue.
The predictive runtimes feature uses artificial intelligence, algorithms and data to validate timetables’ reliability, produce new running times and timetables that meet OTP ambitions and predict OTP. Optibus claims that, unlike other tools in the industry, predictive runtimes can achieve this without compromising operational efficiency.
