Computer platform for development and deployment of sensor-driven vehicle telemetry applications and services

Patent metadata

Field	Value
Publication number	US-9990182-B2
Application number	US-201214345545-A
Country	US
Kind code	B2
Filing date	Sep 18, 2012
Priority date	Sep 19, 2011
Publication date	Jun 5, 2018
Grant date	Jun 5, 2018

Abstract

A computing platform for intelligent development, deployment and management of vehicle telemetry applications is disclosed herein. Further, the present disclosure provides a method and system that enables provision of Intelligent Transportation Service on the Cloud-based Platform that facilitates creation and deployment of vehicle telemetry applications configured for enabling traffic measurements, traffic shaping, vehicle surveillance and other vehicle related services.

First claim

The invention claimed is:

1. An intelligent transportation system comprising:
an infrastructure cloud computing platform comprising a plurality of hardware and software components, a plurality of infrastructure services, a plurality of Application Program Interfaces (APIs), and a plurality of Software Development Kits (SDKs),
wherein the plurality of infrastructure services comprises a sensing service and at least one of an edge analytics service, a backend storage service, a backend analytics service, and a reporting service and are capable of executing algorithms, functions and calls required for developing a suite of sensor driven applications;

a plurality of sensors intermittently and remotely connected with the infrastructure cloud computing platform using a communication network,
wherein the plurality of sensors are is capable of transmitting sensor data feeds to the infrastructure cloud computing platform where the suite of sensor driven applications are to be developed corresponding to the sensor data feeds,
wherein the sensor data feeds is obtained in various formats from one or more sensors deployed at the proximity of vehicles, and
wherein the edge analytics service is adapted to perform analytics on the sensor data feeds using preprocessing and feature extraction, wherein preprocessing and feature extraction leads to data reduction to allow storage of the features extracted from the sensor data feeds; and

a vehicle telemetry application development device electronically coupled with the infrastructure cloud computing platform and the plurality of sensors,
wherein the vehicle telemetry application development device enables an application developer to invoke a plurality of services and computing algorithms therefrom using the APIs and SDKs to develop the suite of sensor driven applications in the infrastructure cloud computing platform,
wherein the vehicle telemetry application development device facilitates the development of the suite of sensor driven applications by:
enabling a plurality of application developers to select services and algorithms relevant in context with domain of the suite of sensor driven applications to be developed thereof; and
enabling the plurality of application developers to develop a plurality of new sensor driven applications and algorithms of the plurality of new sensor driven applications using at least one selected service from the plurality of infrastructure services and adding the plurality of new sensor driven applications and algorithms of the plurality of new sensor driven applications to the suite of sensor driven applications.

2. The system of claim 1 , wherein the plurality of hardware components comprise at least one of: computer machines, virtual machines, servers, disks, and network resources.

3. The system of claim 1 , wherein the backend storage service is configured to enable storage and retrieval of sensor data using a Sensor Observation Service.

4. The system of claim 1 , wherein the backend analytics service is configured for performing analytics on a back-end subsystem, wherein the back-end subsystem enables classification and clustering of the stored sensor data.

5. The system of claim 1 , wherein the reporting service is adapted to provide audio/visual alerts to a plurality of end user subscribers based on a result of a plurality of analytics run on the sensor data.

6. The system of claim 1 , wherein the plurality of sensors re is adapted to sense varied physical quantities in a smart vehicle environment, wherein the varied physical quantities further comprise at least one of temperature, pressure, location, motion, orientation, acceleration, deceleration, and cardiac data.

7. The system of claim 1 , wherein said vehicle telemetry applications further comprise at least one of: pot-hole detection, rough-vehicle detection, cardiac-activity monitoring, in-car diagnostic and prognosis thereof, remote-photography, remote tourist guidance, driver-drowsiness identification, remote sFurstp-detection, remote damage assessment, managing unmanned railway-check posts, and remote vehicle communication.

8. The system of claim 1 , wherein the plurality of sensors integrated with the infrastructure cloud computing platform comprise at least one of soft sensors, physical sensors, and virtual sensors.

9. The system of claim 1 , wherein the sensing service is configured to provide sensor data feeds from a device equipped with an array of sensors.

10. The system of claim 9 , the sensor data feeds are captured through at least one of: on-board/off-board vehicular sensors, smartphones, proximity sensor gateway devices and intelligent sensing devices.

11. A method for providing an intelligent transportation platform, the method comprising:
integrating a plurality of infrastructure services on a cloud computing platform,
wherein the plurality of infrastructure services comprises a sensing service and at least one of an edge analytics service, a backend storage service, a backend analytics service, and a reporting service and are capable of executing algorithms, functions and calls to develop a suite of sensor driven applications for sensor data feeds received from a plurality of sensors,
wherein the plurality of sensors are intermittently and remotely connected with the cloud computing platform through a communication network, and wherein the sensor data comprises feeds from various on-board/off-board vehicle sensors,
wherein the sensor data feeds is obtained in various formats from one or more sensors deployed at the proximity of vehicles, and
wherein the edge analytics service performing analytics on the sensor data feeds using preprocessing and feature extraction, thereby leading to data reduction and allowing for storage of the features extracted from the sensor data feeds and not allowing for storage of raw sensor data;

facilitating a plurality of application developers for developing the suite of sensor driven applications by means of a vehicle telemetry application development service,
wherein the vehicle telemetry application development service is electronically coupled to the plurality of infrastructure services and the plurality of sensors;

enabling the plurality of application developers to access the infrastructure services on the cloud computing platform for developing the suite of sensor driven applications in the infrastructure cloud computing platform by means of the vehicle telemetry application development service,
wherein the suite of sensor driven applications further comprises vehicle telemetry applications;

enabling the plurality of application developers to select services and algorithms relevant in context with a domain the suite of sensor driven applications to be developed thereof; and
enabling the plurality of application developers to develop a plurality of new sensor driven applications and algorithms of the plurality of new sensor driven applications using at least one selected service from the plurality of infrastructure services and adding the plurality of new sensor driven applications and algorithms of the plurality of new sensor driven applications to the suite of sensor driven applications.

12. The method of claim 11 , wherein the plurality of sensors sense varied physical quantities in a smart vehicle environment, wherein the varied physical quantities comprise at least one of: temperature, pressure, location, motion, orientation, acceleration, deceleration, and cardiac data.

13. The method of claim 11 , wherein the plurality of infrastructure services comprises the backend storage service enabling storage and retrieval of sensor data using a Sensor Observatio

Assignees

• Tata Consultancy Services Ltd

Inventors

• Misra Prateep
• Pal Arpan
• Purushothaman Balamuralidhar
• Bhaumik Chirabrata
• Swamy Deepak
• Subrahmanian Venkatramanan Siva
• Ghose Avik
• Sinha Aniruddha

Classifications

• G06F11/3668

  Testing of software · CPC title

• H04L41/5096 Primary

  wherein the managed service relates to distributed or central networked applications · CPC title

• H04L67/12

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

• H04L67/10

  in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

• G06F8/36

  Software reuse · CPC title