Design and evaluation of CCA (Cooperative Collision Avoidance) applications for Vehicular Ad-hoc Networks.
详细信息
- 作者：Tomas Gabarron ; Juan Bautista.
- 学历：Doctor
- 年：2013
- 导师：Haro,Joan Garcia,eadvisor
- 毕业院校：Universidad Politecnica de Cartagena
- Department：Tecnologias de la Informacion y las Comunicaciones.
- ISBN：9781303018220
- CBH：3557890
- Country：Spain
- 语种：English
- FileSize：9222995
- Pages：256
文摘
New emerging technologies in vehicular traffic are aimed primarily at improving safety and driving comfort for passengers. In this regard,a promising research perspective considered by the Academia and the Industry is to use communications to build a complex interoperable vehicular network so as to provide autonomous robotic-guided vehicles with additional status information that might not be collected from sensors on board. With properly configured processing schemes,this additional stream of information can be used to help vehicles anticipate and react conveniently to potentially risky situations that might cause an accident if not previously considered. Particularly,in this Thesis we use these premises to propose and evaluate collision avoidance policies under two specific fashions: i) Design and evaluation of a Cooperative chain Collision Avoidance (CcCA) strategy to reduce the impact of multiple rear-end collisions in a platoon of vehicles when evasive maneuvering is not possible,and ii) Analysis and optimization of different strategies for Cooperative Collision Avoidance (CCA) by evasive maneuvering. The CcCA application allows us to study how communication protocols,both by one-hop transmissions as well as by relaying (multi-hop) schemes,can help reduce the number of accidents,or at least minimize their impact,in cases where vehicles cannot execute sudden maneuvers to skip cars ahead,but only brake. Regarding CCA for evasive maneuvering,we provide an exhaustive optimization analysis for the calculation of optimum trajectories in cases where vehicles at high speeds are at risk of colliding with one or more obstacles appearing ahead. By reorienting trajectories through the lateral free spaces that might exist between the obstacles and the crash barriers (if the specific scenario allows it),vehicles can avoid crashing and simultaneously improve driving comfort even under such unpredictable circumstances. On the whole,despite much further effort is still required on these matters,results in this Work show that communications can help autonomous vehicles to make decisions in a cooperative fashion that will not only assist individuals to follow the best riding strategy,but also the traffic system as a whole to evolve according to the best possible behavior in terms of safety and comfort.