Sign up to our webinar, with Cambridgeshire County Council and Cambridge and the Greater Cambridge Partnership to see how Alchera is supporting decision making for Local Authorities.
Insights & reporting for Local Authorities to deliver improved bus services - strategically and operationally - driven by data & analytics.
Book a demoMonitor bus network performance by average journey times and speeds, including highlighting variability. Understand how punctual your routes really are against the timetable.
Shine a light on how underlying infrastructure impacts bus networks. Surface powerful economic benefits calculations to prioritise spend on interventions while improving operational capabilities, all supported by highly granular insights.
Alchera Bus is a web-based software & analytics suite for bus professionals to investigate historical & real-time bus activity. Monitor, evaluate and improve bus networks. Drill into bus movements at links, junctions and corridors on the network. Find, monitor and improve the real root cause of delays.
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On-time performance for self-serve time periods across all your routes, bu junction, corridor, route or bus operator.
See average speeds and journey times along individual segments, through signals, and in comparison to freeflow, on summary dashboards.
Enhancing reporting across your network via integration directly with bus operator systems, split by ticket type and boarding location.
Scored pinch point factor, to understand the impact of hot spot junctions on bus reliability & speed.
TAG-compliant economic cost to support business case building for all hotspots, broken down by scheme, corridor and time of day.
Keep up with changing policy by overlaying datasets - like safety stats or emissions - to support business cases.
2024 WINNER:
Department for Transport Chief Scientific Officer's Award: Outstanding Project Delivery
Look at bus movements alongside your other transport modes, zoomed out to the region, or in to a junction. Use the insights to hold productive conversations with colleagues, based on data - across cars, bikes, scooters and pedestrians.
