TunneLseq is an advanced engineering software tool developed to calculate threshold zone luminance (Lth) for tunnel entrances using the Lseq (Equivalent Veiling Luminance) approach defined in the CIE 88 – Guide for the Lighting of Road Tunnels and Underpasses.
By combining AI-based image processing with a perception-oriented lighting methodology, TuneLseq transforms complex, interpretation-dependent calculations into a fast, objective, and repeatable engineering process.
Real driver-view scenes processed for Lseq calculations.
Validated across diverse geographic and environmental conditions.

TunneLseq is fully aligned with the Lseq-based methodology described in CIE 88.
It overcomes the limitations of traditional L20-based approaches by focusing on perceived contrast, which represents what the driver actually sees.
Authorities and clients can use TunneLseq to define a single, reference Lth value in accordance with CIE guidelines.
This ensures that all designers and luminaire manufacturers work under identical technical criteria, enabling fair comparison and verification.
The driver’s field of view is automatically divided into 108 angular segments, as defined in the CIE methodology.
Environmental elements such as sky, vegetation, road surface, concrete, buildings, snow, and tunnel structures are classified with high accuracy using AI-powered image processing.
Subjective assumptions and methodological differences are eliminated.
Each project delivers measurable, comparable, and auditable results, fully aligned with international best practices.
The user is only required to:
No manual calculations, no formula input, and no advanced lighting expertise are required.
Reliable Lth results can typically be obtained within approximately five minutes.
TunneLseq provides a unified, CIE-based technical reference for tunnel entrance lighting.
By defining Lth values through a standardized and perception-based methodology, it ensures consistency across design, approval, and implementation stages for all stakeholders.
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