[ Use cases / Traffic signal optimisation ]

Optimised traffic light intersections using vehicle positional data


Let’s get there faster

Dive into our solutions and witness innovation in action. At Monotch, we’re not just about getting there faster; we’re about redefining the journey.

Through advanced technology, we ensure that every vehicle group experiences the most efficient, sustainable, and safe passage through intersections.

Our open-ecosystem solution is a testament to our commitment to reducing wait times and propelling everyone towards their destinations with unprecedented speed.

[ 01 / How? ]

The science behind traffic signal optimisation

Imagine a world where the intersection knows exactly what type and traffic volume is approaching without expensive detection equipment. This can be your reality with our solutions. As vehicles approach, they communicate with our TLEX platform, allowing traffic light controllers to adapt in real-time. Through a meticulous blend of vehicle data and key performance indicators, our system orchestrates an optimal traffic rhythm, ensuring smooth and efficient journeys for all.

[ 02 / Benefits ]

Tangible benefits for everyone

The Monotch approach brings tangible benefits to the road:

  • Enhanced crossing efficiency, making journeys smoother across multiple intersections,
  • Significant reductions in wait times, ensuring you spend less time at red lights,
  • A marked decrease in emissions, contributing to a cleaner, greener environment. Our solutions are not just about moving; they’re about moving forward.

TLEX also gives the road authorities benefits such as:

  • Control the quality of all messages
  • Access to a ‘plug and play’ eco-system of partners
  • Integration with existing roadside equipment

[ 03 / Effect ]

Impact on travel time

The positive impact of this use case can be observed for signal groups going from one main road to another.

32 vs 21%
For 32% of these signal groups, the average number of lost vehicle hours (VVU) decreased, while for 21%, the VVU increased
43 vs 17%
For 43% of the signal groups, the average travel time across intersections decreased, while travel time increased for 17%
70 vs 17%
The number of vehicles that have to wait unnecessarily decreased significantly in 70% of the signal groups and increased in only 17% of the signal groups
49 vs 34%
The average time vehicles have to wait unnecessarily decreased in 49% of the cases, while it increased by 34%

[ Results ]

Our implementations


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Urban Data Access Platform (UDAP)

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