---
title: TfGM Portal by VivaCity |
description: VivaCity have been working with Transport for Greater Manchester and their local authority partners supplying Smart Traffic Monitoring, Smart Road safety and signal control solutions.
---
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# Red Light Running Innovation Project Site visit with Transport for Greater Manchester (TfGM) Road Safety & VivaCity teams
#### 1. The Challenge: Catalyst for a Development Partner
Understanding driver compliance at signalised junctions has historically presented a major gap for transport authorities. While traditional enforcement tools (such as red-light cameras) capture severe violations for prosecution, they fail to provide broader behavioural insights across entire road-user populations.
TfGM required a non-enforcement-based solution to address key operational challenges:
- **Understanding Behavioral Context:** TfGM needed visibility into not just if violations occur, but when, under what conditions, and whether they create genuine safety risks for vulnerable road users (VRUs).
- **High-Risk Interactions:** Identifying red-light running (RLR) trends at complex locations—such as high-risk tram junctions, busy pedestrian crossings, and active travel corridors.
- **Targeted Interventions:** Enabling data-backed decisions on where enforcement is necessary versus where design, signal timing, or behavioral campaigns are better suited.
- **Maximising Existing Investments:** Leveraging Greater Manchester’s extensive network of over 400 deployed VivaCity sensors rather than installing standalone, single-purpose infrastructure.
## VivaCity Sensor Estate in Greater Manchester
The sensor estate gives TfGM an overview of the region and the ability to drill into specific sites and schemes
#### 2. Why Not Integrate Directly with the Signal?
Connecting sensors directly into traffic signal controller cabinets via hardwired cables presents significant practical and economic barriers:
- **High Cost & Complexity:** Wiring directly into legacy signal hardware requires physical cabinet modifications, civils work, and strict signal authority approvals, driving up deployment costs and timelines.
- **Purely Visual Approach:** By using video analytics to observe the physical illumination of the red signal lamp on the traffic light head, the system operates completely independently of signal control hardware. It also make it highly adaptable to monitor red light running with any type or age of signals.
- **Rapid Deployment:** Non-intrusive vision-based monitoring eliminates cabinet access dependencies, allowing RLR capabilities to be rapidly deployed across existing sensor estates.
- **High Accuracy:** Both red light detection and stopline crossing detection are done on the same processor with the same clock, so zero risk of clock drift or differences in timing, which matters when you're detecting someone has run a red light by a second or less
#### 3. Hardware Innovation: V3 Multi-View Capabilities
The RLR solution is made possible by hardware advances in the VivaCity Version 3 (V3) sensor:
- **Multi-View System Architecture:** Earlier sensor generations lacked the dual processing capacity required for simultaneous wide-area tracking and focused signal monitoring. The V3 sensor supports up to 3 simultaneous viewpoints (VPs) from a single unit.
- **Flexibility of Dual-Viewport or Single Detection:**
- **Viewport 1 (Signal Head):** Dedicated to monitoring the traffic light signal head.
- **Viewport 2 (Stop Line):** Positioned over the carriageway stop line to track vehicles and countline crossings.
- **Single viewport:** where both are visible in the field of view
- **On-Device Edge AI Processing:** Red light detection and vehicle tracking are processed directly on the sensor unit in real time, maintaining strict Privacy-by-Design principles (video is processed and discarded instantly on the edge and not stored).
#### 4. About the Test Junction
- **Location:** Key arms at the complex junction outside Manchester Piccadilly Station (Fairfield Street / Whitworth Street).
- **Context:** A busy multimodal hub carrying high volumes of vehicular traffic, buses, cyclists, and pedestrians.
- **Proof of Concept Scope (Phase 1):** Focuses on establishing real-world accuracy for red-light detection, countline crossings, and correlating RLR occurrences with near-miss interaction datasets.
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#### 5. Setting Up Countlines & Defining RLR Events
##### Technical Setup
The AI logic specifically monitors the red lamp state. When the red lamp is illuminated (including red-amber phases), the signal status is classified as active. A custom RLR countline is drawn precisely over the carriageway stop line in the configuration management tool. This also allows for site-by-site customisation, ie we could detect the back or front of advance stop lines, or even move the 'effective stop line' further into the junction if only the most serious events are useful to analyse.
##### Defining an RLR Event
Technically, any part of a vehicle encroaching past a stop line on red constitutes a violation of the highway code. However, minor bumper overhangs or slight edging forward do not represent meaningful safety risks and create false alarms.
- **Our Methodology:** An RLR event is triggered when the rear of the vehicle fully crosses the stop line while the red light status is active. This harnesses the benefit of our market-leading 3D footprint detection technique to evaluate the true form of the road user.
- **Rationale:** Requiring the back of the vehicle to clear the countline ensures the vehicle has fully committed to crossing the junction during a red phase. This filters out minor encroachment while accurately capturing clear red-light runs.
#### 6. Where Next? Wider Rollout
- **Phase 1 (H1 2026):** Trial validation at Manchester Piccadilly, producing combined CSV datasets for Red Light Running and Near Miss events.
- **Phase 2 (H2 2026):** Expansion across multiple high-priority junctions in Greater Manchester.
- **Dashboard Integration:** Fully integrating RLR analytics into the central VivaCity Dashboard. Transport planners will be able to filter events by time elapsed after red, vehicle classification, minimum speeds, and view relative percentages of overall signal compliance.
- **Safety Integration:** Correlating RLR data directly with Near Miss analytics to evaluate how signal non-compliance impacts vulnerable road user safety across the region.
##### Dashboard Preview
Below are some screenshots demonstrating the dashboard site comparison tool, powerful for identifying location- and time-based variations in red light running behaviours to guide appropriate interventions:
Whilst the data above shows red light running behaviour at all locations, the sensor on London Road stands out as witnessing the highest volume of such behaviour. As can be seen from the image below, this is a complex junction:
Diving further into the data at this site allows us to see peak times this is happening - 2pm-6pm - coinciding with both school pick-up and commuter end-of-day times. This detailed analysus allows TfGM to more effectively deploy interventions such as Police spot checks.
Speed also has a big impact on the severity of events - in a 7-day period we recorded 56 red light running incidents at 25-30mph, speeds which could have very serious consequences if it leads to a collision with an active travel user.
##### General features
In addition to red light running specific functionality, the sensors continue to deliver core VivaCity functionality.
Classified counts:
Analysing pedestrian counts, we can see high volumes of pedestrians all week, with typical morning and evening peaks on weekdays, with 'steady flows' at weekends:
This is a very busy corridor: averaging over 10,000 vehicles a day:
Whilist speed isn’t typically a problem, with an average speed of just 10mph, a minority of road users (5%) are crossing the junction above the speed limit. Coupled with red light running behaviour, this presents potentially highly dangerous scenarios.
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sensors in Kent
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schemes
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councils in Kent using VivaCity
## Got any questions?
Get in touch with TfGM's strategic partnership manager Cleo Weeden
[Email Cleo](mailto:cleo.weeden@vivacitylabs.com)
[Send a Message](https://vivacitylabs.com/about-us/contact/?hsLang=en)
**VivaCity**
Unit 5 – 6, 3 Haberdasher Street, London N1 6ED, UK
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