1. A method of optimizing public transportation, the method comprising: determining, by a transport optimization system (101), a type of an activity associated with a public transport vehicle, wherein the activity is detected based on sensor data received from at least one of, user devices associated with at least one passenger of the public transport vehicle and from at least one sensor of a plurality of sensors (103) configured within and at surrounding of the public transport vehicle; obtaining, by the transport optimization system (101), from the plurality of sensors (103), values of one or more parameters related to at least one of, the public transport vehicle associated with the activity, locations at which the activity is detected, and at least one passenger associated with the public transport vehicle; classifying, by the transport optimization system (101), the activity to be one of a predefined abnormal activity based on the values of the one or more parameters using a trained classification model; identifying, by the transport optimization system (101), one or more attributes associated with the predefined abnormal activity using corresponding sensor data; and providing, by the transport optimization system (101), the abnormal activity along with the one or more attributes associated with the abnormal activity to one or more application devices (105) associated with the transport optimization system (101), for optimizing the public transportation.

2. The method as claimed in claim 1, wherein the public transport vehicle is travelling at one of predefined routes during the detection of the activity.

3. The method as claimed in claim 1, wherein the detected activity is performed by one of the passenger, an external entity and a crew member of the public transport vehicle.

4. The method as claimed in claim 1, wherein the activity is classified as one of the predefined abnormal activity based on a combination of the values of the one or more parameters.

5. The method as claimed in claim 1, wherein the classification model is trained using a plurality of training parameters.

6. The method as claimed in claim 1, wherein the one or more attributes comprises type of the abnormal activity, length and impact of the abnormal activity.

7. The method as claimed in claim 1, wherein the one or more application devices (105) comprises performing at least one of simulation generation of the public transport vehicle and route used by the public transport vehicle, operation planning and monitoring of the public transport and performing one or more actions for managing the abnormal activity.

8. A transport optimization system (101) for optimizing public transportation, comprising: a processor (113); and a memory (111) communicatively coupled to the processor (113), wherein the memory (111) stores processor instructions, which, on execution, causes the processor (113) to: determine a type of an activity associated with a public transport vehicle, wherein the activity is detected based on sensor data received from at least one of, user devices associated with at least one passenger of the public transport vehicle and from at least one sensor of a plurality of sensors (103) configured within and at surrounding of the public transport vehicle; obtain from the plurality of sensors (103), values of one or more parameters related to at least one of, the public transport vehicle associated with the activity, locations at which the activity is detected, and at least one passenger associated with the public transport vehicle; classify the activity to be one of a predefined abnormal activity based on the values of the one or more parameters using a trained classification model; identify one or more attributes associated with the predefined abnormal activity using corresponding sensor data; and provide the abnormal activity along with the one or more attributes associated with the abnormal activity to one or more application devices (105) associated with the transport optimization system, for optimizing the public transportation.

9. The transport optimization system (101) as claimed in claim 8, wherein the public transport vehicle is travelling at one of predefined routes during the detection of the activity.

10. The transport optimization system (101)as claimed in claim 8, wherein the detected activity is performed by one of the passenger and a crew member of the public transport vehicle.

11. The transport optimization system (101) as claimed in claim8, wherein the processor (113) classifies the activity as one of the predefined abnormal activity based on a combination of the values of the one or more parameters.

12. The transport optimization system (101) as claimed in claim 8, wherein the processor (113) trains the classification model using a plurality of training parameters.

13. The transport optimization system (101) as claimed in claim 8, wherein the one or more attributes comprises type of the abnormal activity, length and impact of the abnormal activity.

14. The transport optimization system (101) as claimed in claim 8, wherein the one or more application devices (105) comprises performing at least one of simulation generation of the public transport vehicle and route used by the public transport vehicle, operation planning and monitoring of the public transport and performing one or more actions for managing the abnormal activity. Dated this 17th day of May, 2019 Madhusudan S T Of K&S Partners Agent for the Applicant IN/PA-1297 , Description:TECHNICAL FIELD The present subject matter is related in general to transportation monitoring system, more particularly, but not exclusively to a method and system for optimizing public transportation.

Claims:We claim:

1. A method of optimizing public transportation, the method comprising:
determining, by a transport optimization system (101), a type of an activity associated with a public transport vehicle, wherein the activity is detected based on sensor data received from at least one of, user devices associated with at least one passenger of the public transport vehicle and from at least one sensor of a plurality of sensors (103) configured within and at surrounding of the public transport vehicle;
obtaining, by the transport optimization system (101), from the plurality of sensors (103), values of one or more parameters related to at least one of, the public transport vehicle associated with the activity, locations at which the activity is detected, and at least one passenger associated with the public transport vehicle;
classifying, by the transport optimization system (101), the activity to be one of a predefined abnormal activity based on the values of the one or more parameters using a trained classification model;
identifying, by the transport optimization system (101), one or more attributes associated with the predefined abnormal activity using corresponding sensor data; and
providing, by the transport optimization system (101), the abnormal activity along with the one or more attributes associated with the abnormal activity to one or more application devices (105) associated with the transport optimization system (101), for optimizing the public transportation.

2. The method as claimed in claim 1, wherein the public transport vehicle is travelling at one of predefined routes during the detection of the activity.

3. The method as claimed in claim 1, wherein the detected activity is performed by one of the passenger, an external entity and a crew member of the public transport vehicle.

4. The method as claimed in claim 1, wherein the activity is classified as one of the predefined abnormal activity based on a combination of the values of the one or more parameters.

5. The method as claimed in claim 1, wherein the classification model is trained using a plurality of training parameters.

6. The method as claimed in claim 1, wherein the one or more attributes comprises type of the abnormal activity, length and impact of the abnormal activity.

7. The method as claimed in claim 1, wherein the one or more application devices (105) comprises performing at least one of simulation generation of the public transport vehicle and route used by the public transport vehicle, operation planning and monitoring of the public transport and performing one or more actions for managing the abnormal activity.

8. A transport optimization system (101) for optimizing public transportation, comprising:
a processor (113); and
a memory (111) communicatively coupled to the processor (113), wherein the memory (111) stores processor instructions, which, on execution, causes the processor (113) to:
determine a type of an activity associated with a public transport vehicle, wherein the activity is detected based on sensor data received from at least one of, user devices associated with at least one passenger of the public transport vehicle and from at least one sensor of a plurality of sensors (103) configured within and at surrounding of the public transport vehicle;
obtain from the plurality of sensors (103), values of one or more parameters related to at least one of, the public transport vehicle associated with the activity, locations at which the activity is detected, and at least one passenger associated with the public transport vehicle;
classify the activity to be one of a predefined abnormal activity based on the values of the one or more parameters using a trained classification model;
identify one or more attributes associated with the predefined abnormal activity using corresponding sensor data; and
provide the abnormal activity along with the one or more attributes associated with the abnormal activity to one or more application devices (105) associated with the transport optimization system, for optimizing the public transportation.

9. The transport optimization system (101) as claimed in claim 8, wherein the public transport vehicle is travelling at one of predefined routes during the detection of the activity.

10. The transport optimization system (101)as claimed in claim 8, wherein the detected activity is performed by one of the passenger and a crew member of the public transport vehicle.

11. The transport optimization system (101) as claimed in claim8, wherein the processor (113) classifies the activity as one of the predefined abnormal activity based on a combination of the values of the one or more parameters.

12. The transport optimization system (101) as claimed in claim 8, wherein the processor (113) trains the classification model using a plurality of training parameters.

13. The transport optimization system (101) as claimed in claim 8, wherein the one or more attributes comprises type of the abnormal activity, length and impact of the abnormal activity.

14. The transport optimization system (101) as claimed in claim 8, wherein the one or more application devices (105) comprises performing at least one of simulation generation of the public transport vehicle and route used by the public transport vehicle, operation planning and monitoring of the public transport and performing one or more actions for managing the abnormal activity.

Dated this 17th day of May, 2019

Madhusudan S T
Of K&S Partners
Agent for the Applicant
IN/PA-1297
, Description:TECHNICAL FIELD
The present subject matter is related in general to transportation monitoring system, more particularly, but not exclusively to a method and system for optimizing public transportation.