SlideShare a Scribd company logo
1 of 33
Download to read offline
Geovelo, a route planner for bicycle




                      Geovelo, a route planner for bicycle

                         G. Sauvanet, E. Neron, H. Baptiste
                                          ´
                                      Laboratoire d’Informatique
                                  Universit´ Francois Rabelais Tours
                                           e
                              Polytech’Tours - D´partement Informatique
                                                e
                                       64, Avenue Jean Portalis
                                             37200 Tours
                                               FRANCE


                                          11 juillet 2010




G. Sauvanet, E. N´ron, H. Baptiste
                 e                                  SotM 2010 - Girona                      1
Geovelo, a route planner for bicycle
 Outline


      1   Presentation


      2   The Bi-Objective Shortest Path problem
            Modeling a road network
            Mono-objective problem
            Bi-objective problem


      3   Conclusion




G. Sauvanet, E. N´ron, H. Baptiste
                 e                      SotM 2010 - Girona                      2
Geovelo, a route planner for bicycle
 Presentation

      Context
          PhD CIFRE LI/Association           Autour du Train       (March 2008)
                Autour du Train      : promoting alternative modes of travel
             like bicycle
             Today : no route planner really adapted to the bicycle in
             France

      Geovelo
          available on 3 cities (Paris, Nantes, Tours)
             Database : Postgresql/Postgis, OSM Data, Osmosis
             Website : Cloudmade maps, Openlayers
             Multi-objective routing engine

G. Sauvanet, E. N´ron, H. Baptiste
                 e                            SotM 2010 - Girona                      3
Geovelo, a route planner for bicycle
 Presentation




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      4
Geovelo, a route planner for bicycle
 Presentation




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      4
Geovelo, a route planner for bicycle
 Outline


      1   Presentation


      2   The Bi-Objective Shortest Path problem
            Modeling a road network
            Mono-objective problem
            Bi-objective problem


      3   Conclusion




G. Sauvanet, E. N´ron, H. Baptiste
                 e                      SotM 2010 - Girona                      5
Geovelo, a route planner for bicycle
 Modeling a road network


                                                   Let G = (V , A) be a
                                                   graph with :
                                                          V the set of
                                                          nodes,
                                                          A the set of arcs,
                                                          the cost function
                                                          distance : A →
                                                          R+
                                                          insecurity : A →
                                                          R+



G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                        6
Geovelo, a route planner for bicycle
 Modeling a road network


                                                   Let G = (V , A) be a
                                                   graph with :
                                                          V the set of
                                                          nodes,
                                                          A the set of arcs,
                                                          the cost function
                                                          distance : A →
                                                          R+
                                                          insecurity : A →
                                                          R+



G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                        6
Geovelo, a route planner for bicycle
 Modeling a road network


                                                   Let G = (V , A) be a
                                                   graph with :
                                                          V the set of
                                                          nodes,
                                                          A the set of arcs,
                                                          the cost function
                                                          distance : A →
                                                          R+
                                                          insecurity : A →
                                                          R+



G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                        6
Geovelo, a route planner for bicycle
 Modeling a road network


                                                   Let G = (V , A) be a
                                                   graph with :
                                                          V the set of
                                                          nodes,
                                                          A the set of arcs,
                                                          the cost function
                                                          distance : A →
                                                          R+
                                                          insecurity : A →
                                                          R+



G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                        6
Geovelo, a route planner for bicycle
 Modeling a road network


                                                   Let G = (V , A) be a
                                                   graph with :
                                                          V the set of
                                                          nodes,
                                                          A the set of arcs,
                                                          the cost function
                                                          distance : A →
                                                          R+
                                                          insecurity : A →
                                                          R+



G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                        6
Geovelo, a route planner for bicycle
 Presentation of the mono-objective problem

      Mono-objective problem
      Let us define :
             a graph G ,
             a start node s and a target node t.




G. Sauvanet, E. N´ron, H. Baptiste
                 e                         SotM 2010 - Girona                      7
Geovelo, a route planner for bicycle
 Presentation of the mono-objective problem

      Mono-objective problem
      Let us define :
             a graph G ,
             a start node s and a target node t.
      Goal :
             compute shortest path p linking s to t ie
             min a∈p distance(a)




G. Sauvanet, E. N´ron, H. Baptiste
                 e                         SotM 2010 - Girona                      7
Geovelo, a route planner for bicycle
 Presentation of the mono-objective problem

      Mono-objective problem
      Let us define :
             a graph G ,
             a start node s and a target node t.
      Goal :
             compute shortest path p linking s to t ie
             min a∈p distance(a)
      Experiments on a graph with 136 199 nodes and 345 267 arcs :
             Dijkstra algorithm
             average of 0.1 seconde on 100 routes.


G. Sauvanet, E. N´ron, H. Baptiste
                 e                         SotM 2010 - Girona                      7
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem


      Bi-objective problem
           2 objectives : minimize distance and insecurity
                    2 conflicting objectives
                    ⇒ shortest route is often adapted for the car, so it is
                    dangerous for bicycle
             Insecurity of a path = sum of the insecurity of each arc of the
             path
             Insecurity = distance . insecurity coefficient (inspired from
             dangerous material transportation)
                    insecurity coefficient depends on the nature of an arc : bicycle
                    path, bike lane, no facilities, etc.



G. Sauvanet, E. N´ron, H. Baptiste
                 e                               SotM 2010 - Girona                      8
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem

      Problem
          Solving bi-objective shortest path problem is hard
             Not an unique path, but a set of efficient paths
             Example on Paris : > 500 efficient paths and computation
             time > 1 minute

      Basic solution
           Transform bi-objective problem in mono-objective problem
             Linear combination of distance and insecurity : new cost(a) =
             α.distance(a) + (1 − α).insecurity (a)
      ⇒ fast and used by many (all ?) route planner, but not really good


G. Sauvanet, E. N´ron, H. Baptiste
                 e                         SotM 2010 - Girona                      9
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      10
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      10
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      11
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      12
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      13
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      14
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      15
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      16
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




      new cost(a) = α1 .distance(a) + (1 − α1 ).insecurity (a)
G. Sauvanet, E. N´ron, H. Baptiste
                 e                        SotM 2010 - Girona                      16
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




      new cost(a) = α1 .distance(a) + (1 − α1 ).insecurity (a)
G. Sauvanet, E. N´ron, H. Baptiste
                 e                        SotM 2010 - Girona                      16
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




      new cost(a) = α2 .distance(a) + (1 − α2 ).insecurity (a)
G. Sauvanet, E. N´ron, H. Baptiste
                 e                        SotM 2010 - Girona                      16
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




      new cost(a) = α2 .distance(a) + (1 − α2 ).insecurity (a)
G. Sauvanet, E. N´ron, H. Baptiste
                 e                        SotM 2010 - Girona                      16
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




      new cost(a) = α3 .distance(a) + (1 − α3 ).insecurity (a)
G. Sauvanet, E. N´ron, H. Baptiste
                 e                        SotM 2010 - Girona                      16
Geovelo, a route planner for bicycle
 Presentation of the bi-objective problem




G. Sauvanet, E. N´ron, H. Baptiste
                 e                   SotM 2010 - Girona                      16
Geovelo, a route planner for bicycle
 Research



      Our research
       1 Compute all efficient paths : improvements of labeling

          algorithms for bi-objective problem [ROADEF 2009, MOPGP
          2010]
         2   Compute the best compromise path : [ISCO 2010, JMMA
             2010]




G. Sauvanet, E. N´ron, H. Baptiste
                 e                     SotM 2010 - Girona                      17
Geovelo, a route planner for bicycle
 Outline


      1   Presentation


      2   The Bi-Objective Shortest Path problem
            Modeling a road network
            Mono-objective problem
            Bi-objective problem


      3   Conclusion




G. Sauvanet, E. N´ron, H. Baptiste
                 e                      SotM 2010 - Girona                      18
Geovelo, a route planner for bicycle
 Conclusion


      Conclusion :
             Prototype works (http://www.geovelo.fr).

      Further work :
             user feedback on OSM data
             Test with more objectives (effort, tourist Interest...)
             Mobile version
             Let user set preferences of the routing engine




G. Sauvanet, E. N´ron, H. Baptiste
                 e                          SotM 2010 - Girona                       19

More Related Content

Recently uploaded

Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontologyjohnbeverley2021
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...apidays
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusZilliz
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 

Recently uploaded (20)

Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 

Featured

Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTExpeed Software
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)contently
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024Albert Qian
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsKurio // The Social Media Age(ncy)
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summarySpeakerHub
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next Tessa Mero
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentLily Ray
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best PracticesVit Horky
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project managementMindGenius
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...RachelPearson36
 
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Applitools
 

Featured (20)

Everything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPTEverything You Need To Know About ChatGPT
Everything You Need To Know About ChatGPT
 
Product Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage EngineeringsProduct Design Trends in 2024 | Teenage Engineerings
Product Design Trends in 2024 | Teenage Engineerings
 
How Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental HealthHow Race, Age and Gender Shape Attitudes Towards Mental Health
How Race, Age and Gender Shape Attitudes Towards Mental Health
 
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdfAI Trends in Creative Operations 2024 by Artwork Flow.pdf
AI Trends in Creative Operations 2024 by Artwork Flow.pdf
 
Skeleton Culture Code
Skeleton Culture CodeSkeleton Culture Code
Skeleton Culture Code
 
PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024PEPSICO Presentation to CAGNY Conference Feb 2024
PEPSICO Presentation to CAGNY Conference Feb 2024
 
Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)Content Methodology: A Best Practices Report (Webinar)
Content Methodology: A Best Practices Report (Webinar)
 
How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024How to Prepare For a Successful Job Search for 2024
How to Prepare For a Successful Job Search for 2024
 
Social Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie InsightsSocial Media Marketing Trends 2024 // The Global Indie Insights
Social Media Marketing Trends 2024 // The Global Indie Insights
 
Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024Trends In Paid Search: Navigating The Digital Landscape In 2024
Trends In Paid Search: Navigating The Digital Landscape In 2024
 
5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary5 Public speaking tips from TED - Visualized summary
5 Public speaking tips from TED - Visualized summary
 
ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd ChatGPT and the Future of Work - Clark Boyd
ChatGPT and the Future of Work - Clark Boyd
 
Getting into the tech field. what next
Getting into the tech field. what next Getting into the tech field. what next
Getting into the tech field. what next
 
Google's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search IntentGoogle's Just Not That Into You: Understanding Core Updates & Search Intent
Google's Just Not That Into You: Understanding Core Updates & Search Intent
 
How to have difficult conversations
How to have difficult conversations How to have difficult conversations
How to have difficult conversations
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
Time Management & Productivity - Best Practices
Time Management & Productivity -  Best PracticesTime Management & Productivity -  Best Practices
Time Management & Productivity - Best Practices
 
The six step guide to practical project management
The six step guide to practical project managementThe six step guide to practical project management
The six step guide to practical project management
 
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...
 
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...
 

[SOTM10] Geovelo, a route planner for bicycle

  • 1. Geovelo, a route planner for bicycle Geovelo, a route planner for bicycle G. Sauvanet, E. Neron, H. Baptiste ´ Laboratoire d’Informatique Universit´ Francois Rabelais Tours e Polytech’Tours - D´partement Informatique e 64, Avenue Jean Portalis 37200 Tours FRANCE 11 juillet 2010 G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 1
  • 2. Geovelo, a route planner for bicycle Outline 1 Presentation 2 The Bi-Objective Shortest Path problem Modeling a road network Mono-objective problem Bi-objective problem 3 Conclusion G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 2
  • 3. Geovelo, a route planner for bicycle Presentation Context PhD CIFRE LI/Association Autour du Train (March 2008) Autour du Train : promoting alternative modes of travel like bicycle Today : no route planner really adapted to the bicycle in France Geovelo available on 3 cities (Paris, Nantes, Tours) Database : Postgresql/Postgis, OSM Data, Osmosis Website : Cloudmade maps, Openlayers Multi-objective routing engine G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 3
  • 4. Geovelo, a route planner for bicycle Presentation G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 4
  • 5. Geovelo, a route planner for bicycle Presentation G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 4
  • 6. Geovelo, a route planner for bicycle Outline 1 Presentation 2 The Bi-Objective Shortest Path problem Modeling a road network Mono-objective problem Bi-objective problem 3 Conclusion G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 5
  • 7. Geovelo, a route planner for bicycle Modeling a road network Let G = (V , A) be a graph with : V the set of nodes, A the set of arcs, the cost function distance : A → R+ insecurity : A → R+ G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 6
  • 8. Geovelo, a route planner for bicycle Modeling a road network Let G = (V , A) be a graph with : V the set of nodes, A the set of arcs, the cost function distance : A → R+ insecurity : A → R+ G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 6
  • 9. Geovelo, a route planner for bicycle Modeling a road network Let G = (V , A) be a graph with : V the set of nodes, A the set of arcs, the cost function distance : A → R+ insecurity : A → R+ G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 6
  • 10. Geovelo, a route planner for bicycle Modeling a road network Let G = (V , A) be a graph with : V the set of nodes, A the set of arcs, the cost function distance : A → R+ insecurity : A → R+ G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 6
  • 11. Geovelo, a route planner for bicycle Modeling a road network Let G = (V , A) be a graph with : V the set of nodes, A the set of arcs, the cost function distance : A → R+ insecurity : A → R+ G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 6
  • 12. Geovelo, a route planner for bicycle Presentation of the mono-objective problem Mono-objective problem Let us define : a graph G , a start node s and a target node t. G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 7
  • 13. Geovelo, a route planner for bicycle Presentation of the mono-objective problem Mono-objective problem Let us define : a graph G , a start node s and a target node t. Goal : compute shortest path p linking s to t ie min a∈p distance(a) G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 7
  • 14. Geovelo, a route planner for bicycle Presentation of the mono-objective problem Mono-objective problem Let us define : a graph G , a start node s and a target node t. Goal : compute shortest path p linking s to t ie min a∈p distance(a) Experiments on a graph with 136 199 nodes and 345 267 arcs : Dijkstra algorithm average of 0.1 seconde on 100 routes. G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 7
  • 15. Geovelo, a route planner for bicycle Presentation of the bi-objective problem Bi-objective problem 2 objectives : minimize distance and insecurity 2 conflicting objectives ⇒ shortest route is often adapted for the car, so it is dangerous for bicycle Insecurity of a path = sum of the insecurity of each arc of the path Insecurity = distance . insecurity coefficient (inspired from dangerous material transportation) insecurity coefficient depends on the nature of an arc : bicycle path, bike lane, no facilities, etc. G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 8
  • 16. Geovelo, a route planner for bicycle Presentation of the bi-objective problem Problem Solving bi-objective shortest path problem is hard Not an unique path, but a set of efficient paths Example on Paris : > 500 efficient paths and computation time > 1 minute Basic solution Transform bi-objective problem in mono-objective problem Linear combination of distance and insecurity : new cost(a) = α.distance(a) + (1 − α).insecurity (a) ⇒ fast and used by many (all ?) route planner, but not really good G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 9
  • 17. Geovelo, a route planner for bicycle Presentation of the bi-objective problem G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 10
  • 18. Geovelo, a route planner for bicycle Presentation of the bi-objective problem G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 10
  • 19. Geovelo, a route planner for bicycle Presentation of the bi-objective problem G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 11
  • 20. Geovelo, a route planner for bicycle Presentation of the bi-objective problem G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 12
  • 21. Geovelo, a route planner for bicycle Presentation of the bi-objective problem G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 13
  • 22. Geovelo, a route planner for bicycle Presentation of the bi-objective problem G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 14
  • 23. Geovelo, a route planner for bicycle Presentation of the bi-objective problem G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 15
  • 24. Geovelo, a route planner for bicycle Presentation of the bi-objective problem G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 16
  • 25. Geovelo, a route planner for bicycle Presentation of the bi-objective problem new cost(a) = α1 .distance(a) + (1 − α1 ).insecurity (a) G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 16
  • 26. Geovelo, a route planner for bicycle Presentation of the bi-objective problem new cost(a) = α1 .distance(a) + (1 − α1 ).insecurity (a) G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 16
  • 27. Geovelo, a route planner for bicycle Presentation of the bi-objective problem new cost(a) = α2 .distance(a) + (1 − α2 ).insecurity (a) G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 16
  • 28. Geovelo, a route planner for bicycle Presentation of the bi-objective problem new cost(a) = α2 .distance(a) + (1 − α2 ).insecurity (a) G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 16
  • 29. Geovelo, a route planner for bicycle Presentation of the bi-objective problem new cost(a) = α3 .distance(a) + (1 − α3 ).insecurity (a) G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 16
  • 30. Geovelo, a route planner for bicycle Presentation of the bi-objective problem G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 16
  • 31. Geovelo, a route planner for bicycle Research Our research 1 Compute all efficient paths : improvements of labeling algorithms for bi-objective problem [ROADEF 2009, MOPGP 2010] 2 Compute the best compromise path : [ISCO 2010, JMMA 2010] G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 17
  • 32. Geovelo, a route planner for bicycle Outline 1 Presentation 2 The Bi-Objective Shortest Path problem Modeling a road network Mono-objective problem Bi-objective problem 3 Conclusion G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 18
  • 33. Geovelo, a route planner for bicycle Conclusion Conclusion : Prototype works (http://www.geovelo.fr). Further work : user feedback on OSM data Test with more objectives (effort, tourist Interest...) Mobile version Let user set preferences of the routing engine G. Sauvanet, E. N´ron, H. Baptiste e SotM 2010 - Girona 19