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WP 4 Urban traffic coordination
– Situation and eco-aware driving assist
Cristofer Englund
Viktoria Swedish ICT
WP4 Overview
Duration: M1 – M36 (all tasks)
Effort: 53 PMs
Task 4.1: Urban Traffic Coordination Scenario Investigation and
Requirements Analysis
•  Viktoria, Cefriel, Thales, Tirasa, UDA
Task 4.2: Urban Traffic Coordination Services Implementation and
Choreography Development
•  Viktoria, Cefriel, Inria, Thales, Tirasa, UDA
Task 4.3: Urban Traffic Coordination Choreography Deployment and
Assessment
•  Viktoria, Cefriel, Inria, Thales, Tirasa, UDA
Task 4.4: Urban Traffic Coordination Business Model
•  Viktoria
211 Feb 2016
WP4 Deliverables
ü  D4.1: Urban Traffic Coordination Scenario Definition and
Requirements (Viktoria) – M6
•  D4.2: Urban Traffic Coordination Initial application
prototyping (Viktoria) – M24
•  D4.3: Urban Traffic Coordination Deployment and
Demonstration (Viktoria) – M36
•  D4.4: Urban Traffic Coordination Business models
(Viktoria) – M36
311 Feb 2016
11 Feb 2016 4
Transport challenges
l  Growing mobility and congestion
l  Increasing emission from transport sector
l  Traffic safety
l  Urbanization
l  High expectations on information availability, timing, accuracy
Source: peakoil.com
Source: WHO
Over 1.2 million people die each
year on the world’s roads, and
between 20 and 50 million suffer
non-fatal injuries
+ 40% CO2 emissions since 1992 from
transport, while decreasing from other
areas
Sweden aim for fossil free transport system
in 2030 in Sweden. Today 95%.
5
Opportunities
•  Cooperative intelligent transport systems (C-ITS)
•  Connected vehicles
•  Ubiquitous connectivity – Networked society
•  Cloud computing
•  Open data
11 Feb 2016
6
Services and Things in the FI domain
•  Multiple services
•  Real time traffic information
•  Map information
•  Routing/Navigation information
•  Road infrastructure information
•  …
•  Multiple domains
•  Public authorities
•  Commercial data providers
•  Open data
•  Crowd data
•  …
11 Feb 2016
Challenges with services and things
11 Feb 2016
Middleware
protocolsSOAP
REST
CoAP MQTT
MQTT-S
XMPP
Issues
Security: We want to have secure communication between
services
Heterogeneity: No single choice on middleware protocols,
depending on stakeholders
Interoperability: Different protocols need to be able to
communicate with each other, critical in IoT
Strong competition
between protocols
Solutions
Security filters
Binding components
Adaptors
7
Scenario description – Situation and
eco-aware driving assist (SEADA)
Situa&on)and)
Eco-Aware)
Travel)Speed)
Advisory)SEATSA)
!
CWARP)
Conges&on)
Warning)&)
Route)re-
Planning)
Accident)
Warning)&)
Route)re-
Planning)
AWARP)
Extreme)Road)
Situa&on)
Warning)&)
Route)re-
Planning)
!
ERWARP)
Traffic-based)events)
Green)Light)
Op&mized)
Speed))
Advisory))GLOSA)
BOWARP)
Bridge)Open)
Warning)&)
Route)re-
Planning)
!
Loca&on-based)events)
Origin)
Upon)traffic)events)
Approaching)loca&ons)
Situa&on)and)
Eco-Aware)
Route)
Planning)SEARP)
Dest)
New)route))
needed?)
Y)
N)
To develop highly responsive situation and eco-aware information
to improve driving experiences and reduce CO2 emission.
11 Feb 2016 8
Scenario description – Situation and
eco-aware driving assist (SEADA)
l  WP 4: Use Case Urban Traffic
Coordination (UTC)
-  Design with respect to security and
requirements
-  Situation-aware and eco-friendly
driving guidance
-  improved driving comfort,
-  traffic efficiency,
-  emission reduction
-  Define eco-driving
-  Develop situation- and eco-aware
driving application
-  Business models for eco-driving
-  How can eco-driving be integrated
C-ITS
11 Feb 2016 9
ORCHESTRATION vs CHOREOGRAPHY
•  Centralized - Orchestration
•  Services interact only with the central
service
•  Difficult to coordinate
multiple domain services
•  Less flexible
•  Less scalable
•  Distributed- Choreography
•  Peer-to-peer service interaction
•  Straighforward to coordinate
multiple domain services
•  Flexible to change coordination logic
•  Scalable service coordination
•  Facing future C-ITS system
Central	
service	
!
applica5on	
boundary	
11 Feb 2016 10
11
CHOReVOLUTION features
•  Easy choreography specification based on BPMN2
•  Reusability of existing services and things
•  Automatic choreography synthesis and enactment
•  Interoperability between different service protocols
•  Deals with services and things
•  Cloud deployment for straightforward application execution
An all-in-one platform for service-choreography-based application
development is very promising in future connected and
automated transport system.
11 Feb 2016
Traffic related services
•  Eco-driving
-  Mathematical model for evaluating eco-friendliness of routes
based on geo-information and real-time traffic information
•  BOWARP – Bridge Opening Warning & Route re-planning
-  Building web-service based on API from City of Gothenburg
•  GLOSA – Green Light Optimal Speed
-  Mathematical model of the traffic light status
-  Building web-service based on Public Transport API of the
bus status
-  Time-To-Red modelling
11 Feb 2016 12
Estimate Time-To-Red
– based on bus position
Regnbågsgatan Stop t1
Pumpgatan Stop t2
Frihamnen Stop t3
11 Feb 2016
Traffic light
Time-To-Red = f(t1,t2,t3)
13
14
Route planning: Choreography diagram
Figure 4.3: WP4 Choreography Specification
Figure 4.4: WP4 Traffic Estimation Sub-Choreography Specification
BS-MAP represents a service that supports ND while accessing digital maps. Map information
can be both local and on-demand through Internet access. BS-MAP is used for accessing the
Figure 4.3: WP4 Choreography Specification
Figure 4.4: WP4 Traffic Estimation Sub-Choreography Specification11 Feb 2016
Route planning: Alternative routes
11 Feb 2016 15
Route planning: Traffic information
11 Feb 2016 16
Route planning: Traffic-based events
11 Feb 2016 17
Conclusion and next step
•  WP4 main achievments in the period:
-  D4.1 delivered on time
-  Created choreographies for the use-case
-  Re-used a number of services for route generation and traffic-
related information
•  Continue experimenting with the Chorevolution studio
-  Evaluate and give feedback, for continous development, of the
Chorevolution studio
-  Incremental development to add funcitonallity of the use-case
11 Feb 2016 18
THANK YOU

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CHOReVOLUTION WP4 UTC Use case

  • 1. WP 4 Urban traffic coordination – Situation and eco-aware driving assist Cristofer Englund Viktoria Swedish ICT
  • 2. WP4 Overview Duration: M1 – M36 (all tasks) Effort: 53 PMs Task 4.1: Urban Traffic Coordination Scenario Investigation and Requirements Analysis •  Viktoria, Cefriel, Thales, Tirasa, UDA Task 4.2: Urban Traffic Coordination Services Implementation and Choreography Development •  Viktoria, Cefriel, Inria, Thales, Tirasa, UDA Task 4.3: Urban Traffic Coordination Choreography Deployment and Assessment •  Viktoria, Cefriel, Inria, Thales, Tirasa, UDA Task 4.4: Urban Traffic Coordination Business Model •  Viktoria 211 Feb 2016
  • 3. WP4 Deliverables ü  D4.1: Urban Traffic Coordination Scenario Definition and Requirements (Viktoria) – M6 •  D4.2: Urban Traffic Coordination Initial application prototyping (Viktoria) – M24 •  D4.3: Urban Traffic Coordination Deployment and Demonstration (Viktoria) – M36 •  D4.4: Urban Traffic Coordination Business models (Viktoria) – M36 311 Feb 2016
  • 4. 11 Feb 2016 4 Transport challenges l  Growing mobility and congestion l  Increasing emission from transport sector l  Traffic safety l  Urbanization l  High expectations on information availability, timing, accuracy Source: peakoil.com Source: WHO Over 1.2 million people die each year on the world’s roads, and between 20 and 50 million suffer non-fatal injuries + 40% CO2 emissions since 1992 from transport, while decreasing from other areas Sweden aim for fossil free transport system in 2030 in Sweden. Today 95%.
  • 5. 5 Opportunities •  Cooperative intelligent transport systems (C-ITS) •  Connected vehicles •  Ubiquitous connectivity – Networked society •  Cloud computing •  Open data 11 Feb 2016
  • 6. 6 Services and Things in the FI domain •  Multiple services •  Real time traffic information •  Map information •  Routing/Navigation information •  Road infrastructure information •  … •  Multiple domains •  Public authorities •  Commercial data providers •  Open data •  Crowd data •  … 11 Feb 2016
  • 7. Challenges with services and things 11 Feb 2016 Middleware protocolsSOAP REST CoAP MQTT MQTT-S XMPP Issues Security: We want to have secure communication between services Heterogeneity: No single choice on middleware protocols, depending on stakeholders Interoperability: Different protocols need to be able to communicate with each other, critical in IoT Strong competition between protocols Solutions Security filters Binding components Adaptors 7
  • 8. Scenario description – Situation and eco-aware driving assist (SEADA) Situa&on)and) Eco-Aware) Travel)Speed) Advisory)SEATSA) ! CWARP) Conges&on) Warning)&) Route)re- Planning) Accident) Warning)&) Route)re- Planning) AWARP) Extreme)Road) Situa&on) Warning)&) Route)re- Planning) ! ERWARP) Traffic-based)events) Green)Light) Op&mized) Speed)) Advisory))GLOSA) BOWARP) Bridge)Open) Warning)&) Route)re- Planning) ! Loca&on-based)events) Origin) Upon)traffic)events) Approaching)loca&ons) Situa&on)and) Eco-Aware) Route) Planning)SEARP) Dest) New)route)) needed?) Y) N) To develop highly responsive situation and eco-aware information to improve driving experiences and reduce CO2 emission. 11 Feb 2016 8
  • 9. Scenario description – Situation and eco-aware driving assist (SEADA) l  WP 4: Use Case Urban Traffic Coordination (UTC) -  Design with respect to security and requirements -  Situation-aware and eco-friendly driving guidance -  improved driving comfort, -  traffic efficiency, -  emission reduction -  Define eco-driving -  Develop situation- and eco-aware driving application -  Business models for eco-driving -  How can eco-driving be integrated C-ITS 11 Feb 2016 9
  • 10. ORCHESTRATION vs CHOREOGRAPHY •  Centralized - Orchestration •  Services interact only with the central service •  Difficult to coordinate multiple domain services •  Less flexible •  Less scalable •  Distributed- Choreography •  Peer-to-peer service interaction •  Straighforward to coordinate multiple domain services •  Flexible to change coordination logic •  Scalable service coordination •  Facing future C-ITS system Central service ! applica5on boundary 11 Feb 2016 10
  • 11. 11 CHOReVOLUTION features •  Easy choreography specification based on BPMN2 •  Reusability of existing services and things •  Automatic choreography synthesis and enactment •  Interoperability between different service protocols •  Deals with services and things •  Cloud deployment for straightforward application execution An all-in-one platform for service-choreography-based application development is very promising in future connected and automated transport system. 11 Feb 2016
  • 12. Traffic related services •  Eco-driving -  Mathematical model for evaluating eco-friendliness of routes based on geo-information and real-time traffic information •  BOWARP – Bridge Opening Warning & Route re-planning -  Building web-service based on API from City of Gothenburg •  GLOSA – Green Light Optimal Speed -  Mathematical model of the traffic light status -  Building web-service based on Public Transport API of the bus status -  Time-To-Red modelling 11 Feb 2016 12
  • 13. Estimate Time-To-Red – based on bus position Regnbågsgatan Stop t1 Pumpgatan Stop t2 Frihamnen Stop t3 11 Feb 2016 Traffic light Time-To-Red = f(t1,t2,t3) 13
  • 14. 14 Route planning: Choreography diagram Figure 4.3: WP4 Choreography Specification Figure 4.4: WP4 Traffic Estimation Sub-Choreography Specification BS-MAP represents a service that supports ND while accessing digital maps. Map information can be both local and on-demand through Internet access. BS-MAP is used for accessing the Figure 4.3: WP4 Choreography Specification Figure 4.4: WP4 Traffic Estimation Sub-Choreography Specification11 Feb 2016
  • 15. Route planning: Alternative routes 11 Feb 2016 15
  • 16. Route planning: Traffic information 11 Feb 2016 16
  • 17. Route planning: Traffic-based events 11 Feb 2016 17
  • 18. Conclusion and next step •  WP4 main achievments in the period: -  D4.1 delivered on time -  Created choreographies for the use-case -  Re-used a number of services for route generation and traffic- related information •  Continue experimenting with the Chorevolution studio -  Evaluate and give feedback, for continous development, of the Chorevolution studio -  Incremental development to add funcitonallity of the use-case 11 Feb 2016 18