Better Transport Planning with IndiGO Lidar Sensors

Wednesday, September 15th, 2021 at 1:10 pm. Published in by .

Better Transport Planning with IndiGO Lidar Sensors

the problem

There has been a focus on learning about a community’s needs so that plans can be made to create

There has been a focus on learning about a community’s needs so that plans can be made to create, grow, or revitalize areas. In cities, especially ones with a lot of traffic, the planning of intersections, their physical configuration, and other details such as traffic light placement and their timing, are all vital parts of the process.

Decisions regarding how an intersection should operate are based on traffic data that is collected through a variety of methods, which can include inductive loops, radar and video cameras. The goals for urban and transport planners are to improve the flow of traffic at an intersection and increase safety. These can be achieved by changing many parameters, such as the timing of traffic lights, allowing right turns on red, widening the lanes, adding lanes or adding dedicated lanes.

Detailed data for improved traffic flow at intersections

Planners can improve the functionality of an intersection with detailed traffic data, but up until recently, existing methods didn’t offer the right type of information.

Inductive loops and radar were unable to provide multimodal data on vulnerable road users, or data in real-time. Safety analytics and information about vehicle speed, crashes, trajectories, or turning directions were difficult or impossible to obtain. Even when the available information was used, once adjustments were made to intersections, new studies would have to be implemented to measure the results of the changes to see if they were successful. It could take some time before a municipality could judge the changes implemented.

Radar and video cameras have been used to obtain the data cities need to make policy changes regarding intersections, but each comes with its own set of drawbacks, including cost, data limitations, privacy issues and more.

IndiGo:

Lidar and AI for Enhanced Traffic Analytics

This is why Bluecity combines lidar sensors and artificial intelligence to provide real-time multimodal data for city engineers, transport planners and consulting firms involved in improving traffic flow. Bluecity’s IndiGO solution provides many benefits over existing systems.

Lidar sensors

  • Waterproof casing for reliable 24/7 data collection in any weather or lighting conditions.
  • 360-degree coverage so one sensor per intersection is usually enough
  • 60-meter radius coverage for vehicles and 40-meter radius for pedestrians
  • No collection of private citizen data
  • One single wire for power and data
  • Easy and inexpensive installation and maintenance

Edge AI

  • Embedded NVIDIA GPU and LTE/5G IoT connectivity
  • Multimodal – easily distinguishes between vehicles, cyclists and pedestrians.
  • Real-time tracking
  • Counts of data in aggregate or disaggregate formats
  • AI for better visualization and analytics
  • Integration into traffic controllers

IndiGO platform

  • Streaming of critical conflicts
  • Advanced safety analytics help identify dangerous intersections before accidents occur
  • Dashboards allow selections, filters and download data for improved traffic planning

With IndiGO, you get the best transport planning results by capturing multimodal, real-time traffic data. Our lidar sensors are easy to install and maintain and most intersections require only one sensor. This powerful and cost-effective solution allows you to better understand and adjust smart city mobility. To learn more about IndiGO, visit our website.