Changing customer expectations require greater agility from Public Transport Operators.

 

Leveraging cloud computing and machine learning, Transdev’s Network Solutions Analytics provides visibility on the entire customer journey by marrying operational and weather data, ticketing information and more data points to monitor past performance as well as model future demand and schedule adherence. It enables a change in paradigm: a shift from merely being the best at moving vehicles, toward optimal outcomes for customers and communities. 

 

Built as a single platform, Network Solutions Analytics allows cross-referencing between datasets to support causality analysis. Insights are organized into 10 distinct modules across three pillars, each with built-in quality control mechanisms: Customers & Performance; Scheduling & Reporting; and Operational Excellence. This knowledge is made available at all points of the decision chain through dashboards tailored for specific audiences. 

 

The tool can yield untold sustainable benefits - for example, it recently informed a recut in one of our NSW bus contracts, leading to the delivery of 1.4% more services and a reduction of dead-running by 0.7% with identical resourcing. 

 

By supporting better quality services, it also contributes to improved public transport competitiveness against less sustainable transport alternatives benefiting the whole ecosystem. 

 

Developed under the auspices of future-proofed data models, the solution will continue to develop, seamlessly integrating AI and machine-learning extensions. Initially conceptualized in collaboration with Lynxx for NSW bus operations, the tool is already being successfully deployed in other jurisdictions (WA, QLD) and is being showcased internationally to both Operators and Authorities.