Snížení doby jízdy v městské dopravní síti pomocí lokálního směrování
Local level routing to reduce travel times in urban networks
Type of document
diplomová prácemaster thesis
Author
Maia Pereira André
Supervisor
Přibyl Ondřej
Opponent
Dieckmann Claudia
Field of study
Inteligentní dopravní systémyStudy program
Technika a technologie v dopravě a spojíchInstitutions assigning rank
ústav aplikované matematikyDefended
2019-01-15Rights
A university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one?s own expense. The use of thesis should be in compliance with the Copyright Act http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://knihovny.cvut.cz/vychova/vskp.htmlVysokoškolská závěrečná práce je dílo chráněné autorským zákonem. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://knihovny.cvut.cz/vychova/vskp.html
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The thesis explores the concept of local level routing, where vehicles receive either travel times or route advice based on accurate short-term traffic conditions to reroute themselves throughout a network. We focus on developing a system to provide time-dependent road travel times considering information of signal timings, queue lengths, road closures and vehicle arrivals, in which traffic controllers model the movement of vehicles and share their knowledge about the traffic amongst themselves as a flexible centralized or distributed system. Our motivation is to reduce travel times, avoid congestion and balance the load of vehicles throughout the network. In order to achieve this, we first analyse how similar route guidance systems estimate travel times and define optimal routes. Then, we study possible solutions for the optimal route problem, specially shortest-path algorithms, and we defined the necessary inputs for the chosen algorithm type. After that, we research methods for estimation of discrete time-dependent travel times and decide to propose an event-based traffic theoretic model that models the driving behaviour of vehicles and cope with the restrictions of communication bandwidth between traffic controllers, the necessity of certain degree of prediction, and running time in larger networks, while feeding an deterministic queueing model that ensures estimations within a horizon of planning. We describe the functionality of our proposed system and evaluate it through simulations of a real-world scenario for several penetration rates, comparing it against the best, worst and current situations cases. Finally, we discuss the performance and future work for our local level routing system. The thesis explores the concept of local level routing, where vehicles receive either travel times or route advice based on accurate short-term traffic conditions to reroute themselves throughout a network. We focus on developing a system to provide time-dependent road travel times considering information of signal timings, queue lengths, road closures and vehicle arrivals, in which traffic controllers model the movement of vehicles and share their knowledge about the traffic amongst themselves as a flexible centralized or distributed system. Our motivation is to reduce travel times, avoid congestion and balance the load of vehicles throughout the network. In order to achieve this, we first analyse how similar route guidance systems estimate travel times and define optimal routes. Then, we study possible solutions for the optimal route problem, specially shortest-path algorithms, and we defined the necessary inputs for the chosen algorithm type. After that, we research methods for estimation of discrete time-dependent travel times and decide to propose an event-based traffic theoretic model that models the driving behaviour of vehicles and cope with the restrictions of communication bandwidth between traffic controllers, the necessity of certain degree of prediction, and running time in larger networks, while feeding an deterministic queueing model that ensures estimations within a horizon of planning. We describe the functionality of our proposed system and evaluate it through simulations of a real-world scenario for several penetration rates, comparing it against the best, worst and current situations cases. Finally, we discuss the performance and future work for our local level routing system.