We’re working directly with Florida officials to help provide up-to-date information to those affected by the storm.
These road closures will also appear on our Irma Crisis Map, embedded as part of our SOS Alert on Search.” Apart from Google Maps, the state also officially recommended using the Gas Buddy app to find out which filling stations had fuel available, and which were not operational.
Google also released a statement about its efforts, saying, “Our thoughts are with those affected by Hurricane Irma.
To provide access to accurate and useful transportation information, we use algorithmic and manual methods to account for everyday and emergency road closures.
The state’s disaster preparation officials are working with Google’s crisis response team to reflect road closures in Google Maps in real-time. Scott said in a press conference, “We have traffic cameras on every major roadway in the state and are clearing traffic issues in real-time, so we can keep people moving.” So, if the state is forced to close any roads in the aftermath of the storm, a quick Google Search will allow people to find out the state of the road network around them.
Though Google’s crowdsourcing app Waze also reflects real-time traffic alerts submitted by users, incorporating road closure information directly into Google Maps will save the precious time of people looking to evacuate and help them navigate around closed roads quickly.
It’s in times like these that you truly understand how spatial technologies help people to come together in a focused manner and give them the information they need much more quickly.
The map can be updated using a map updating module based on the proposed changes from the unmatched segment module.
Using radar, active infrared or laser radar technology, the sensors are able to detect the size and speed of passing vehicles and then wirelessly transmit that information to a server [sources: Machay, Palmer].
Data from these sensors can be used to provide real-time traffic updates, and, once collected, the information becomes part of the pool of historical data used to predict traffic volume on future dates.
Matched GPS traces may be processed by a matched segment module to produce proposed changes to the map.
The map can be updated using a map updating module based on the proposed changes from the matched segment module.