Scenario 2 : How Smart Analytics can save life on road
• Ambulance carrying a critical patient is driving at full speed towards hospital
• Analytics platform gets real time data from sensors, traffic signals on the way to hospital and GIS mapping of all roads leading to hospital
• A message is sent to the ambulance display panel in front of the driver informing him which the road to take
• All signals towards hospital are asked to be on a particular color (Red or Green) prompting ambulance to pass through
• A message is also sent to hospital system prompting them to be ready, including an auto message to the doctor’s phone to rush back if he is out
Scenario 3 : How Smart Analytics help prevent and catch crime
• A criminal places a suspicious bag near a road side bus stop
• CCTV camera keeps recording all activities including this one
• All information from CCTV, sensors on the road, criminal database and information from Police command center is continuously fed to analytics platform which keeps analyzing the information and takes decisions
• Based on the analytics, a message is flashed to police command center and nearest public display asking public to remain away from the site
• Police squad is dispatched to site to check bag contents and take necessary action
• Video of person placing bag is flashed across police stations by command center
Summary: Use of technology in Traffic management is a known thing. However, it is the use of data from different sources in real-time and processing information to take immediate decisions that is the key to a successful traffic management in our cities. It is the need of the hour to leverage enormous amount of data around us and create a more meaningful and smooth living for us.
Ravinder Pal Singh APJC Practice Head: Software Enabled Services Cisco Systems
