Case Study: Mobile Mapping Systems using Advanced LiDAR Technology Nagpur
Geospatial technologies can play an essential role in the planning and design stages of urban public realms and streets, besides the day-to-day usage of these spaces. Cities worldwide are using Smart City Control Centres to monitor real-time city-wide information through live location data collection. Beyond protecting citizens from physical dangers, Geospatial intelligence helps shape advanced techniques for controlling access to digital systems. At the same time, emergency response can be sped up and made more efficient when real-time updates are available readily in control rooms.
One of India’s most densely populated areas, the city of Nagpur is being developed into a Smart City, with safety and security planning as a high priority area. However, implementing the city-wide surveillance project, as envisioned, required detailed surveys, such as of all road junctions in the city.
Baseline data was required to be updated with real-time updates, including traffic congestion routes for producing meaningful information. Just like any other city left to grow on its own, Nagpur has several sensitive zones and blind spots with higher occurrences of criminal or intimidating activities, which needed to be identified and prioritized for attention by officials.
Informal settlements and encroachments, thus far ignored, needed to be validated in the real-world scenario. Such comprehensive data collection was imperative for bridging the gap between the design and execution stages, the latter being the one with the most faulty and inadequate provisions in general.
An Advanced Mobile LiDAR survey (MLS) was conducted to acquire accurate street-level building profile data throughout the city to meet the expected requirements for preparing a detailed database. The acquired MLS data was supplemented with high-resolution panoramic imagery, resulting in an information-rich GIS.
With this detailed data, security planners, implementation engineers and contractors could be provided with accurate drawings, enabling faster and more well-informed decision-making. The as-built data together with the underlying point-cloud data were authenticated with the panoramic images collected from the field. This resourceful visual data was then relayed to command-and-control centres.
Even the most complex structures in the city can be visualized realistically, and so were roads, junctions and streets, in the form of a 3D model enabling authorities to identify view-shed blind spots and install CCTV cameras at appropriate locations at the best positions and angles throughout the city. Snapshots are being archived for periodic records, while the integrated environment has improved the coordination and collaboration between different stakeholders.
- Data provides end-to-end solutions in creating a larger canvas to draw and map the built environment and resources accurately in a 3D depiction to develop the Smart City proactively
- City stakeholders can use the data to adopt a holistic development methodology using socio-economic models for resilience, sustainability and inclusivity
- Scientific methods established for camera visibility analysis
- Built drawings provide ways for efficient planning and management
- Iterative view-shed/ blind spot analysis enabling responsible security planning and coming up with the most effective camera positions and angles
- Fast turnaround time and cost savings throughout the project lifecycle