IoT CoAP Plugtests & Workshop Nov 27, 2012 Sophia Antipolis

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1 Intelligent Cooperative Sensing for Improved traffic efficiency IoT CoAP Plugtests & Workshop Nov 27, 2012 Sophia Antipolis

2 Introduction Cooperative V2X communications and cellular networks are enabling closed loop interaction between vehicles/drivers and the transportation infrastructure. Enabling technologies are entering their mature phase, e.g., traffic flow sensors and IEEE p There is still the need of a complete integrated solution that can take the most benefits from a real-time analysis of the data gathered and appropriate reaction on the transportation system This requires decentralized aggregation and decision for robust and timely decisions to be taken An additional and significant improvement can be brought by pro-active decision making processes, with the integration of predictive models running in real-time alongside the reaction schemes Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 2

3 Intelligent Transport Systems Challenges: Permanent congestion on highways and urban centres Energy waste CO 2 emissions Impact on public health and accidents rate Forecast growth in transport: congestion costs will increase by about 50% by Main objectives: Transport efficiency Less congestion More safety Less accidents Energetically sustainability Less CO 2 emissions Intelligent Transportation Systems (ITS) should play the role in contributing to tangible results quickly and efficiently. [1] Transport White Paper (March 2011) Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 3

4 The goals ICSI aims: To address simultaneously the challenges raised by the ITS To give a qualitative leap towards the future mobility ICSI platform goals are: merging and integration of heterogeneous data sources into a common system provisioning ii i of a set of advanced d tools for control, monitoring, simulation and prediction of traffic Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 4

5 The vision (1/2) Today ITSs are often composed by vertical and closed sub- systems which do not provide interfaces for direct access to third parties. Aggregation and integration i of data provided d by different sub-systems operating in the same area is very difficult in practice The situation is bound to become worse in the future as the ICT infrastructure in transportation become bigger and more complex In ICSI, the interaction between heterogeneous data sources is achieved: providing a common layer for data distribution distributing the intelligence for decision making from humans in control centers to machines composing the ICT infrastructure Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 5

6 The vision (2/2) The M2M interaction between sensors (e.g., traffic flow) and actuators (e.g., variable message signs) will be enabled with local scope. Scalability Reliability Bounded reaction times Cooperative sensing Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 6

7 Sub-systems CS Central Sub-system stores and elaborates data from the peripheral sub-systems and provides feedbacks/actions Road-side Sub-system also called Road-Side Unit (U) is positioned along the road for collecting measurements through sensors, actuating feedbacks and acting as a gateway for vehicle communications variable message signs, EV charging spots, etc. Vehicle Sub-system also called On-Board Unit (OBU) resides into the car and can be equipped with sensors and wireless networking equipment for V2X communications. Personal Sub-system is embedded in portable devices used by pedestrians and citizens is involved with the collection of news, travel information and other kinds of information Smartphones, tablets, e-book readers, etc. Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 7

8 Overlay networks Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 8

9 Peer-2-Peer overlays Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 9

10 Network architecture The system relies on local distributed storage and intelligence which operates on a limited geographical scale where data are distributed and processed in real-time without the need to contact the central sub-system. Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 10

11 Network architecture No Aggregation ~10 millis ICSI uses the concept of gateway () to indicate a logical entity that operates on a local scope offers capabilities similar to those provided by the CS: data storage event processing alarms etc. handles data for a limited number of components in an area can act as a Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 11

12 Network architecture Low aggregation ~100 millis Local area Local area Each is logically connected to: s in the same local area, which handle data relevant to its served sensors and actuators. Service Context Resource constraints Local area Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 12

13 Network architecture Med. aggregation ~10 secs Local area Local area Each is logically connected to: s outside its local area, which might still need to received data or provide commands, for instance: congestion on a main road segment might have cascade effects on very large areas drivers far away might benefit from having an early warning by being redirected along alternative paths. Global area Local area Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 13

14 Network architecture High aggregation ~100 secs Local area Local area Each is logically connected to: CS in order to provide integrated and aggregated data for: long-term optimizations statistical uses CS Global area Local area Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 14

15 Gateway implements dynamic and adaptive algorithms able to provide real-time decisions based on the infrastructure and traffic situation (context/resourceawareness): Cooperative Learning Unit (CLU) The is in charge of: Taking decisions autonomously in response to traffic conditions (context, resource constraints) Integrating information from the WSN and s Identifying of abnormal traffic situations Suggesting contingency and actions plans to improve the traffic flow and travel management strategies The s will be updated with new traffic models and contingency plans by the Traffic Manager Center (TMC) placed into the CS A Decision Support System in the CS will update and improve traffic models and contingency plans on the base of information reported by the s (results of previously actions taken) Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 15

16 Real-world Nowadays: Many vehicles equip an On- Board Unit Some Road-Side Units are already deployed on highways and main roads (VMSs, flow sensors, speed traps, semaphores, etc.) Smartphone, tablets, e-books and others personal devices are commonly used by people Available devices lack of network architecture and service platform Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 16

17 Connected-world Protocols IEEE p Multi-Channel Real-Time MAC Fail-safe (replication) IEEE 1609 IEEE IETF 6LoWPAN IETF CoAP Architectures ETSI ITS ETSI M2M Etc. Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 17

18 ICSI-world Global Area Local area In ICSI: Local cloud is connected with a Local areas are defined dynamically on the base of the running service, the current context and the resource constraints Global area enables inter-area communications and connects CS and s ICSI offers a set of intelligent services on top of main ITS and M2M architectures Intelligent services support intelligent application for Intelligent Transport Systems! Awareness: Service Context Resource constraints Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 18

19 Service-Awareness Global Area Global Area Local area Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 19

20 Context and Resource Awareness Global Area Global Area Local area Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 20

21 ETSI ITS sub-systems systems Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 21

22 ICSI over ETSI ITS (1/4 (1/4)) Personal ITS station Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop * A 6 B 9 # R 22

23 ICSI over ETSI ITS (2/4 2/4) Roadside ITS-S gateway Roadside ITS station ITS-S host ITS-S Srouter ITS-S border router ITS station-internal network Proprietary roadside network VMS Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 23

24 ICSI over ETSI ITS (3/4 3/4) CS Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 24

25 ICSI over ETSI ITS (4/4) Applications Facilities ICSI Networking & Transport Manag gement Access urity Sec Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 25

26 ICSI protocol stack ICSI Application ICSI Applications DATEX2 Applications ETSI ITS Applications Layer MA+ FA + SA ICSI Service Layer S 1 S 2 S 3 DATEX2 Adaptation Service-dependent Sub-Layer ETSI ITS Adaptation S n ICSI Logical Layer ETSI M2M IO FW Service-Independent Sub-Layer DATEX2 Adaptation ETSI ITS Adaptation MA + FA + SA ETSI M2M IO FW WebServices ICSI Physical Layer UDP/TCP IP MAC PHY CoAP/HTTP UDP/TCP IP ETSI ITS Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 26

27 Model-View View-Presenter (MVP) View Application Application Feedback/Actions View Presenter Service S i Service Presenter Updates Fires events Model Logical Logical Model Manipulates Model Physical Physical Physical Physical 1. SEPARATION The business logic is held by the Presenter S Area S 2. DECOUPLING Presenter mediates between the View and the Model Data Data 3. TESTABILITY Passive View exposes a single interface Nov 27, 2012 Sophia Antipolis IoT CoAP Plugtests & Workshop 27

28 Thank you for your attention!

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