This article first appeared in the Bus-News magazine, Issue 1 2023.
It is no secret that the transport industry is one of the largest emitters of greenhouse gas emissions. Many of the discussions around reducing the environmental impact of transportation revolve around the electrification of vehicles, which is certainly both a necessity and a priority.
However, to meet climate goals, the approach needs to be two-pronged: we must transition to EVs, while also reducing the number of cars on our roads by incentivising the use of public transport services.
One of the main reasons people cite when explaining why they choose to use their own vehicles over bus services is that they deem the service unreliable. The mentality of “if the bus comes late, next time I’ll use my car” has fuelled today’s car addiction and is a challenge for operators to overcome.
Thankfully, technology has made immense leaps in recent years, and can now offer transport operators with the visibility and the predictive insights they need to guarantee a reliable service to passengers. With AI-powered predictive maintenance, operators can identify faults before they cause a breakdown, use realtime data on the wear and tear of parts to optimise operational efficiency, and provide a maximised service that removes unplanned downtime from the equation. This would give passengers the certainty that, when they get the bus, the vehicle will reliably transport them to their destination without disruptions.
In terms of EV transition, predictive maintenance can also be leveraged to accelerate the achievement of cost neutrality. EVs are, on average, 50% more expensive than a traditional internal combustion engine bus. This means that transport operators need to keep their electric buses on the road for more time and for longer distances in order to make a return on investment. With predictive maintenance, operators can maximise vehicle availability and keep their vehicles on the road where they should be, serving passengers.
Bus-News magazine Issue 2, October 2022: Stratio Automotive – Supporting Bus Operations and Maintenance with AI.
Stratio began its collaboration with Arriva in Czech Republic in 2020 centered on the bus transit operation in Prague region.
Brisa selected Stratio to monitor its entire fleet due to the innovation of the system, which combines their needs in one single platform.
SBST's project with Stratio is supporting the company in optimising its maintenance processes and improving bus reliability.
Stratio has been working with Keolis Group to implement Predictive Fleet Maintenance and Remote Diagnostics.
Stratio has announced that its Platform for Public Transport is now certified by ITxPT as compliant to TiGR protocol standards
Stratio will showcase its leading predictive fleet maintenance platform at the 2022 FIAA International Fair of Bus and Coaches in Madrid.
New agreement enables Stratio's predictive maintenance and remote diagnostic technologies to be applied to Keolis’ bus and coach networks.
Stratio Announces Presence at PHM Europe to Present Peer-Reviewed Research Paper on Predictive Battery Analytics for Electric Buses
Stratio partners with Genie Insights to implement the rollout of real-time predictive maintenance technology to Irish transport fleets.
Stratio will discuss how predictive battery analytics is essential for a successful transition to EVs for public transport fleet operators.
Stratio is set to present their new real-time predictive fleet maintenance solution for EVs at the 2022 IT-TRANS Conference.
Stratio is helping Go-Ahead Ireland (GAI) envision a zero-downtime future by minimising service disruptions with predictive maintenance.
Stratio details their project with Arriva in the Czech Republic and the use of their planned predictive vehicle care.
TST selects Stratio's predictive fleet maintenance technology to modernise operation in the Lisbon Metropolitan Area.
Stratio and Freeway Fleet Systems join forces to introduce predictive fleet maintenance to the UK’s bus and coach sector.
Read a summary of the Go-Ahead project with Stratio before the webinar Predictive Fleet Maintenance for Bus Operations on March 23 2022.
Stratio announces a $12 million investment and their plans to enable a zero downtime future with their predictive maintenance solution.
SBST's bus condition monitoring project with Stratio is improving bus reliability to deliver a better service for commuters.
Use the form opposite to get in touch with Stratio directly to discuss any requirements you might have.