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The Context

Le Havre Seine Métropole, an area made up of 54 municipalities and home to nearly 270,000 residents, is a region with a strong industrial and port identity, and a key player in sustainable urban logistics. As part of an urban development project in the Thiers/Coty district, a retractable bollard was installed at the entrance of Rue Maréchal Gallieni to calm traffic and prioritize active modes of transport (walking and cycling), while still ensuring essential access for local business deliveries.

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The Challenge

Le Havre wanted to assess the effectiveness of its traffic regulation system without incurring the high costs of physical traffic counts. The challenge was further complicated by the need to separate the bollard’s impact from seasonal variations, and to distinguish between different vehicle types.

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• 📏 Turning perception into data: Moving from on-the-ground observations to a quantified measurement of the drop in activity on Rue Maréchal Gallieni.

• 🧭 Understanding traffic shifts: Pinpointing which adjacent roads absorbed redistributed logistics flows to avoid creating new congestion hotspots.

• ⚡ Gaining agility: Accessing instant retroactive analysis to complement existing sensors.

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The Solution

Le Havre Seine Métropole leveraged connected vehicle data (FCD) from the Vianova platform.

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• 📍 Comparing GPS trace volumes before (April/May) and after (September) the bollard activation.

• 🛻 Filter flows by vehicle type (LCVs vs. Heavy Goods Vehicles) to isolate delivery-specific traffic.

• 🗺️ Visually map traffic shifts on adjacent roads using virtual analysis zones.

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The Results

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• ✅ Trend confirmed: The observed sample shows a 50% drop in logistics activity (based on GPS traces) along the regulated corridor, confirming compliance with the new measure.

• 🔄 Shift confirmed: The data revealed increased activity on parallel routes, backing up the traffic redistribution hypothesis, no need for additional field surveys.

• 🧠 Decision support: These indicators help justify the intervention to local officials by relying on factual evidence rather than perception.

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Key Figures

• 📉 -50% in logistics vehicle passages (all vehicle types combined) on Rue Maréchal Gallieni after the access control was implemented (comparison between May and September 2025).

• 🚚 -57% in Light Commercial Vehicle presence, with little change in truck activity (as delivery access for local businesses was maintained).

• 📍 A shift in logistics activity identified on nearby streets: a 27% increase in GPS signals on Avenue René Coty (mostly LCVs), and a 4x increase in logistics presence on Rue Jean-Paul Sartre.

• 🔎 Trend analysis based on a representative sample of commercial vehicles (with an average coverage of 9% for heavy vehicles).

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Client Quote

“Carrying out ‘before-and-after’ physical traffic counts over several weeks would have been complex and expensive. The value of the Vianova platform is its ability to instantly leverage large volumes of data to validate our traffic trends, confirm the effectiveness of our interventions, and understand new mobility patterns.”

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~ Romuald URVOY, Project Manager, Roads and Mobility Department, Le Havre Seine Métropole

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The Future

Le Havre Seine Métropole étend l'utilisation de Vianova pour analyser d’autres cas d’usages comme par exemple pour optimiser le maillage de ses aires de livraison et analyser le potentiel de report vers la cyclo-logistique autour de la zone des Magasins Généraux.

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About Vianova

Vianova is the data analytics solution to operate the mobility world. Our platform harnesses the power of connected vehicles and IoT data, to provide actionable insights to plan for safer, greener, and more efficient transportation infrastructures.

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From enabling regulation of shared mobility to transforming last-mile deliveries, and mapping road risk hotspots, Vianova serves 150+ cities, fleet operators, and enterprises across the globe to change the way people and goods move.

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