Case-study: Vehicle Journey Times & Intersection Count Analysis for Traffic Optimization in Major City

Client: A sustainable city project

Challenge: A major city faced the challenge of reducing vehicle journey times and minimizing queue lengths at zebra crossings in a busy commercial zone. The city authorities needed a comprehensive analysis of vehicle journey times and intersection counts to identify bottlenecks and improve traffic flow.

Solution:Algolytic Data Solutions conducted a vehicle journey times and intersection count analysis in the commercial zone to provide valuable insights into traffic patterns and identify areas for improvement. The team collected data on the number of vehicles passing through each intersection, the duration of travel between intersections, and the average queue lengths at zebra crossings. Using advanced analytics tools and techniques, Algolytic Data Solutions identified the key bottlenecks and provided recommendations to optimize traffic flow. For instance, the team recommended re-timing traffic lights at certain intersections, which reduced journey times and minimized queue lengths at zebra crossings.

Results: The vehicle journey times and intersection count analysis conducted by Algolytic Data Solutions helped the city authorities optimize traffic flow and reduce journey times, leading to improved travel experiences for commuters and better business outcomes for local businesses.

The analysis also helped the city to minimize queue lengths at zebra crossings, enhancing pedestrian safety and reducing congestion. Overall, the analysis provided valuable insights that helped the city to improve traffic flow, reduce travel times, and enhance the overall quality of life for residents and visitors.