Optimizing emergency services logistics using data from a smart traffic control system
A method of determining optimal location for reaching destined locations by traversing traffic in a least time of determining is disclosed. Traffic information and incident information may be received using an input device. The traffic information and the incident information may be used to determine traffic and incidents associated with an area, and successively to determine a correlation score. The correlation score is calculated by analyzing the traffic information and the incident information. Further, an optimal location is determined based on the correlation score, for staging a first responder. Thus, the first responders could reach any of the destined locations in least time, when an incident occurs.
1. A method of logistical planning for emergency services, the method comprising:
storing traffic information and incident information in memory regarding a plurality of locations in a region;
executing instructions stored in the memory, wherein execution of the instructions by a processor:
receives the traffic information and the incident information over a communication network, the traffic information and the incident information captured using at least one of: a traffic cabinet, a traffic camera, a traffic monitor and an environmental sensor;
retrieves data and metadata regarding the traffic information and the incident information;
filters correlation coefficients based on the retrieved data and metadata regarding the traffic information and the incident information;
determines a correlation coefficient from a correlation established between the traffic information and the incident information; and
selects a stage location from among a plurality of candidate locations for a requesting emergency service provider that designates an incident location based on:
the determined correlation coefficient, and
a shortest travel time to the incident location from the stage location;
sending a notification to the requesting emergency service provider regarding the stage location; and
controlling a traffic preemption system based on the stage location.
2. The method of claim 1 , wherein the stage location is one of a plurality of candidate locations.
3. The method of claim 2 , further comprising identifying the plurality of candidate locations based on filtering a determined correlation coefficient for each of the plurality of candidate locations based on a predetermined threshold.
4. The method of claim 2 , further comprising identifying the plurality of candidate locations based on evaluating a determined correlation coefficient for one or more intermediate locations between the requesting emergency service provider and each of the plurality of candidate locations.
5. The method of claim 1 , further comprising storing historical data regarding traffic and incidents in the region.
6. The method of claim 1 , wherein controlling the traffic preemption system comprises dynamically evaluating one or more conditions affecting travel time, and selecting preemption inputs based on the dynamic evaluation.
7. A system of logistical planning for emergency services, the system comprising:
memory that stores traffic information and incident information regarding a plurality of locations in a region;
a processor that executes instructions stored in the memory, wherein execution of the instructions by the processor:
receives the traffic information and the incident information over a communication network, the traffic information and the incident information captured using at least one of: a traffic cabinet, a traffic camera, a traffic monitor and an environmental sensor;
retrieves data and metadata regarding the traffic information and the incident information;
filters correlation coefficients based on the retrieved data and metadata regarding the traffic information and the incident information;
determines a correlation coefficient from a correlation established between the traffic information and the incident information; and
selects a stage location from among a plurality of candidate locations for a requesting emergency service provider that designates an incident location based on:
the determined correlation coefficient, and
a shortest travel time to the incident location from the stage location;
a communication interface that sends a notification to the requesting emergency service provider regarding the stage location; and
a traffic preemption system controlled based on the stage location.
8. The system of claim 7 , wherein the stage location is one of a plurality of candidate locations.
9. The system of claim 8 , wherein the processor executes further instructions to identify the plurality of candidate locations based on filtering a determined correlation coefficient for each of the plurality of candidate locations based on a predetermined threshold.
10. The system of claim 8 , wherein the processor executes further instructions to identify the plurality of candidate locations based on evaluating a determined correlation coefficient for one or more intermediate locations between the requesting emergency service provider and each of the plurality of candidate locations.
11. The system of claim 7 , wherein the memory further stores historical data regarding traffic and incidents in the region.
12. The system of claim 7 , wherein the processor controls the traffic preemption system by dynamically evaluating one or more conditions affecting travel time, and selecting preemption inputs based on the dynamic evaluation.
13. A non-transitory computer-readable storage medium, having embodied thereon a program executable by a processor to perform a method of logistical planning for emergency services, the method comprising:
storing traffic information and incident information in memory regarding a plurality of locations in a region;
receiving the traffic information and the incident information, wherein the traffic information and the incident information is captured using at least one of: a traffic cabinet, a traffic camera, a traffic monitor and an environmental sensor;
retrieving data and metadata regarding the traffic information and the incident information;
filtering correlation coefficients based on the retrieved data and metadata regarding the traffic information and the incident information;
determining a correlation coefficient from a correlation established between the traffic information and the incident information;
selecting a stage location from among a plurality of candidate locations for a requesting emergency service provider that designates an incident location based on:
the determined correlation coefficient, and
a shortest travel time to the incident location from the stage location;
sending a notification to the requesting emergency service provider regarding the stage location; and
controlling a traffic preemption system based on the stage location.
14. The method of claim 13 , wherein the stage location is one of a plurality of candidate locations.
15. The method of claim 14 , further comprising identifying the plurality of candidate locations based on filtering a determined correlation coefficient for each of the plurality of candidate locations based on a predetermined threshold.
16. The method of claim 14 , further comprising identifying the plurality of candidate locations based on evaluating a determined correlation coefficient for one or more intermediate locations between the requesting emergency service provider and each of the plurality of candidate locations.
17. The method of claim 13 , further comprising storing historical data regarding traffic and incidents in the region.
18. The method of claim 13 , wherein controlling the traffic preemption system comprises dynamically evaluating one or more conditions affecting travel time, and selecting preemption inputs based on the dynamic evaluation.