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Preferred truck routes meet navigation

Preferred truck routes meet navigation. Michael Hubschneider PTV AG. Why is truck navigation different?. Truck navigation knows about truck restrictions Legal restrictions Physical restrictions Warnings. Truck navigation has different requirements for routes Avoiding U-turns

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Preferred truck routes meet navigation

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  1. Preferred truck routes meet navigation Michael HubschneiderPTV AG

  2. Why is truck navigation different? • Truck navigation knows about truck restrictions • Legal restrictions • Physical restrictions • Warnings • Truck navigation has different requirements for routes • Avoiding U-turns • Avoiding residential areas • Avoiding smaller streets • Access to restricted areas • Truck navigation integration • Needs a programmable interface • Can be applied with different systems and hardware 3rd Partner meeting, 17.-19.03.2010, Berlin

  3. Individual interests vs. communal interests Individual interest • Optimizing personal time/distance Communalinterest • Protecting sensible cityareas • Thinking in streetcapacitiesandtrafficemmissions 3rd Partner meeting, 17.-19.03.2010, Berlin

  4. Project aims • Develop algorithmsroutes for integration into a navigation system for truck preferred routing • Modelling a routing network for trucks on desktop routing software, that fits both communal needs and trucker needs • Develop a systemhowthelearnedmechanismscanbetransferredtoothertowns • Transfer thepreferredroutingnetworktothe navigation system, buildingthefirst navigation systemthatisabletoprefercommunal truck routes 3rd Partner meeting, 17.-19.03.2010, Berlin

  5. Routing algorithms • Keep it simple and stupid (KISS)It has to be very simple to be integrated by any navigation systems developer • Works like the brain with two simple methodsPrefer and avoid – a bonus/malus system • Preferredroadsegmentsget a bonus,roadsegmentsthatshouldbeavoidedget a malus • Bonus / malus have different strengths • Like in thebrain – thelocationdecides on theeffect. 3rd Partner meeting, 17.-19.03.2010, Berlin

  6. Modelling the routing network • Collect data (routes, POI, truck restrictions) • Definetestroutes • Routestargetingindustrialzones • Routescrossingthetown • Intercommunalroutes • Model test • Improvethe model (addingbonus/malus tosegments) • Recognizeandsummarizethesystematicsbehindthe model 3rd Partner meeting, 17.-19.03.2010, Berlin

  7. The objectives for the route model • Trucks shall use the defined preferred routes when driving to industrial areas from the motorway • Truck routes crossing the town center are not wanted, it is better to use more motorways • Avoid routes that are charged by high emmissions / traffic • But don‘t generate too high detours, routes still have to be reasonable 3rd Partner meeting, 17.-19.03.2010, Berlin

  8. The recognized problems • Bridging (Not preferred roads that would connect preferred routes) are highly attractive • Accessabilityto all partsof an industrialareathroughoneentry • Avoidingareas (likecitycenters) • Avoidingcongestedorhighemmissionareas Systematicalproblems • Avoidingcertainroadwhichtendtoleadroutesthroughnarrowstreetsaroundthearea (trafficevasion) • Influencingthesystemtoostronglyleadstotoomanydetours 3rd Partner meeting, 17.-19.03.2010, Berlin

  9. Recognized systematics / methods to solve the problems • Boni should only be applied up to 40%, on motorways up to 80% • Mali shouldonlybeappliedcautiously, only in specialsituations, elseitcanleadtotrafficevasion • Mali make sense foravoidingareaslikecitycenters • Sometimesmalimake sense on bottleneckslikebridges • Check withtestsetswithfocus on • Takingthedesiredroads • Time/distanceeffects • Integratelocalexpertsandstakeholders 3rd Partner meeting, 17.-19.03.2010, Berlin

  10. modelling-rules System setup map&guide professional map&guide truck navigator dataacquisition algorithms routing-modell routing-modell transfer tests tests 3rd Partner meeting, 17.-19.03.2010, Berlin

  11. Real live examples (1/7) 3rd Partner meeting, 17.-19.03.2010, Berlin

  12. Real live examples (2/7) 3rd Partner meeting, 17.-19.03.2010, Berlin

  13. Real live examples (3/7) 3rd Partner meeting, 17.-19.03.2010, Berlin

  14. Real live examples (4/7) 3rd Partner meeting, 17.-19.03.2010, Berlin

  15. Real live examples (5/7) 3rd Partner meeting, 17.-19.03.2010, Berlin

  16. Real live examples (6/7) 3rd Partner meeting, 17.-19.03.2010, Berlin

  17. Real live examples (7/7) 3rd Partner meeting, 17.-19.03.2010, Berlin

  18. Bringing preferred truck routes to reality • Communities and Organisations have to team-up internationally for promoting the necessity of preferred truck routing • Solutions toeasilycreatepreferred route modelsthroughthe web areneeded, usingthe same systematics • The preferredrouteshavetobecollected in open databases • Map manufacturershavetousethedataandprovideitforthe navigation systemproviders • Navigation systemproviders bring ittothemassmarket. 3rd Partner meeting, 17.-19.03.2010, Berlin

  19. PTV visionof a possiblesolution Authoritiescreatedataone time webeditor webeditor proprietary editor Open interface DB Open interface Central collecting and distribution of the data NAVTEQTele AtlasOSM Service Providers Applications use the data from map or service providers Web Web Navi Navi 3rd Partner meeting, 17.-19.03.2010, Berlin

  20. Preferred truck routes meet navigation Thank you for your attention! Michael HubschneiderPTV AG

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