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Transport monitoring
features
Multiple count sources
Mooven gives teams access to multiple vehicle count data sources - including SCATS signal data, tube counts, machine vision cameras, and the ability to upload your own count data - so you're never limited to a single view of traffic volumes at your site. Different use cases demand different data, and Mooven's flexibility means you can choose the right source for the job, whether that's informing road design, monitoring queue lengths, or justifying working hours. By bringing all of these sources into one platform alongside journey time and speed data, Mooven gives teams a richer, more complete picture of traffic behaviour around their sites than any single dataset could provide alone.
Compliance monitoring
Mooven's Transport Monitoring feature gives contractors and transport teams the continuous, data-backed evidence they need to meet journey time compliance obligations. By tracking journey times, delays, and speeds against established baselines, teams can demonstrate whether a project is performing within its contractual limits - and quickly identify when it isn't. Real-time alerting means issues can be caught and addressed before they escalate into formal breaches, while Mooven's reporting tools make it straightforward to produce clear, auditable records for stakeholders and clients. The result is a more confident, proactive approach to compliance - one built on data rather than guesswork.
Floating vehicle data
Floating vehicle data gives teams a continuous, real-time view of journey times, speeds, and delays across a route - without the need for physical infrastructure at every location. Monitoring conditions 24/7, it makes it easy to identify when and where congestion is occurring and whether delays are truly caused by a project or are simply pre-existing network conditions. For contractors, that's powerful evidence. For transport agencies, it's a constant pulse on network performance.
Public transport monitoring
Roadworks don't just affect cars - their impact on buses and trams can be equally significant but far harder to see. Mooven's public transport monitoring tracks PT performance against established baselines in real time, so teams can quickly identify when their projects are causing delays and act before issues escalate. For transport agencies, it means fewer surprises. For contractors, it's another layer of evidence when stakeholders come asking questions.
Incident and events
When something unplanned happens on the network, it can be nearly impossible to separate its impact from your own project's footprint. Mooven overlays incidents and events directly onto your maps and graphs, so teams can quickly determine whether a spike in delay was caused by their works or something else entirely - protecting their reputation and giving stakeholders a clear, honest picture of what's really going on.
Baseline comparisons
When Mooven's Project Management and Transport Monitoring features work together, teams can see exactly what impact their projects are having on traffic and public transport in real time. By pairing project locations and shift schedules with live journey time, speed, and volume data, teams have the evidence they need to make smarter operational decisions and have more confident stakeholder conversations.
Local business hours
Before work begins, having an early indication of which businesses, and their typical opening hours, sit within the impact zone of a project gives teams a significant head start on community engagement planning. Mooven surfaces business information along your project corridor so you can begin thinking about communications well in advance - identifying who is likely to be affected and reaching out before disruption hits.
Machine vision & ANPR integration
Floating vehicle data is powerful, but in locations with low traffic volumes or limited data coverage, it isn't always enough. Mooven's integration with ANPR cameras fills this gap, delivering journey time measurements that are more accurate, transparent, and defensible by capturing real vehicle movements between two points. For more localised analysis, machine vision cameras detect vehicle movements within a specific frame - monitoring queue lengths, identifying stopping violations, and flagging illegal turns. Together, these hardware-based integrations mean Mooven can match the right data source to every situation.
Comparative heatmaps
Understanding journey time trends is valuable, but it tells only part of the story. By comparing journey time data with vehicle count data in Mooven, teams can understand not just how fast traffic is moving, but how much of it there is - giving crucial context to what might otherwise be a misleading picture. A drop in volume, for example, may not signal improved conditions if journey time data reveals that traffic times have also increased significantly. Together, these two data sources give teams a far richer understanding of network behaviour, leading to better-informed decisions around project planning, working hours, and stakeholder reporting.
Weather data
Weather has a well-known influence on traffic behaviour, and without that context it can be difficult to explain why journey times spiked on a particular day. Mooven's weather data overlay gives teams the context they need to separate weather-driven impacts from project-driven ones — making reporting more accurate and stakeholder conversations more confident.
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