The Solution: SCOOT Adaptive Traffic Control
Western Systems facilitated the installation of Yunex Traffic SCOOT (Split Cycle Offset Optimization Technique). SCOOT models traffic detected on-street to adapt three key traffic control parameters continuously – the amount of green for each approach (Split), the time between adjacent signals (Offset), and the time allocated for all approaches to a signalized intersection (Cycle time). As a result, the signal timing evolves with the changing traffic volumes and demands making SCOOT a one of a kind predictive adaptive traffic solution.
SCOOT uses vehicle detection to count the number of cars approaching the intersection, communicates this information, and implements necessary changes efficiently. This enables the system to progress traffic through a corridor with few or no stops. This results in more efficient flow, less fuel consumed, fewer emissions, and improves travel time, quality of life, and safety.
Outcome: Optimized Traffic Flow Reduces Congestion
With the implementation of SCOOT, the City has seen a noticeable improvement in traffic. The busy corridor in the heart of the City’s most popular tourist attractions now has less stop and go traffic and better travel times. It is estimated that by the time the City has its corridors running on an adaptive system that this will result in a yearly reduction of 20 tons of criteria pollutants (NOx, ROG and PM). Travel times on Lighthouse Avenue, before and after the adaptive system installation, showed an average decrease in delays and average stops of 30%.
The SCOOT system has been able to adapt to conditions that were unforeseen such as reduction and changes in traffic patterns during the Shelter in Place order issued due to Covid-19. Adaptive systems stay efficient even when traffic conditions change drastically.
“Our traffic patterns during the COVID-19 pandemic have been very unpredictable and inconsistent. Before SCOOT, this would be a costly and time consuming challenge to address. However, with SCOOT, the system automatically adapts to real-time conditions creating efficient flow even with constantly changing traffic demands.” – Andrea Renny, P.E., PTOE, City of Monterey Traffic Engineer