Browsing by Keyword "Intelligent transportation systems"
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Item A complete framework for developing and testing automated driving controllers(2017-07) Lattarulo, Ray; Perez, Joshue; Dendaluze, Martin; Dendaluce, Martin; CCAM; Tecnalia Research & InnovationIntelligent vehicles have improved their highly and fully automated driving capacities in the last years. Most of the developments are driven by the fast evolution of embedded systems for the acquisition, perception and communication modules. However, the fast growing of the automated vehicle market demands modern tools for validation, integration and testing of these new embedded functionalities, specially related to Advanced Driving Assistance Systems (ADAS). In this paper, a testing methodology for validation of path planning and control algorithms for current and future automated vehicles is presented. A high degree of modularity and adaptability have been considered in the design of the proposed method. It is based on a software tool for vehicle modeling, called Dynacar, which allows a good trajectory definition, cooperative maneuvers interaction and virtual validation. Different types of vehicles, scenarios (i.e.: urban, interurban, highways under different environmental conditions) and controllers can be tested. Moreover, Hardware-In-the-Loop configuration (i.e. electronic control units) can be also tested. Simulation results show a good performance in the implementation and configuration of urban scenarios, using different controllers in the proposed frameworkItem Connected and intelligent framework for vehicle automation in Smart-Ports(2024) Vaca-Recalde, Myriam E.; Marcano, Mauricio; Matute, Jose; Hidalgo, Carlos; Martinez-Rodriguez, Belen; Bilbao-Arechabala, Sonia; Jorge-Hernandez, Fernando; Murgoitio, Jesus; Perez, Joshue; Santaella, Javier; Camacho, Andres; CCAM; BIGDATA; SWTThe increase in maritime traffic due to the globalization of trade has led to an exponential growth in logistics operations and port traffic management is becoming increasingly complicated. The need to improve the efficiency, safety, and sustainability of operations is leading to a strong demand for automation in port processes. A significant challenge is the optimization and automation of loading and unloading systems, given their complexity and repetitive nature. Advances in automated systems, through ongoing research and application in various transportation scenarios, are addressing these challenges. However, automating vehicles alone is insufficient; it is also important to have a connected, infrastructure-based collaborative framework to manage the complex logistics of port operations effectively and in a synchronized manner. In this sense, ESTIBA+ 2022, a Spanish-funded project, is addressing this challenge, aiming to develop strategic technologies for Smart-Ports. Its goal is to design and validate a scalable collaborative framework that meets the specifications and functions of port services using Industry 4.0 technologies and advanced wireless communications through Connected Intelligent Transportation Systems (C-ITS). This article presents the proposed architecture and its validation in the comprehensive use case of the project, focusing on communication from the supervision platform to Automated Guided Vehicles (AGVs) to ensure optimal traffic flow and management in ports. Specifically, the scenario involves three different forklifts equipped with an On-Board Unit (OBU) that interact with each other and the infrastructure via Roadside Units (RSU). The outcome of the project shows that the framework can meet the requirements for Smart-Port logistics, showing the feasibility of the implementation with a collaborative maneuver between three forklifts, a supervision station, and connected traffic lights.Item Parametric-based path generation for automated vehicles at roundabouts(2017-04-01) González, David; Perez, Joshue; Milanés, Vicente; CCAMUrban environments are becoming more and more complex because several factors as consecutive cross- roads or lanes changes. These scenarios demand specific infrastructures—i.e. roundabouts, for improving traffic flow compared with traditional intersections. A roundabout removes timeouts associated with traf- fic lights at crossroads and trajectory conflicts among drivers. However, it is a challenging scenario for both humans and automated vehicles. This work presents a path planning method for automated vehi- cle driving at roundabouts. The proposed system achieves a G 1 continuous path, minimizing curvature steps to increase smoothness, dividing the driving process in three stages: entrance maneuver, driving within the roundabout and exit maneuver. Parametric equations are generated to deal with automated roundabout driving. This approach allows a real time planning considering two-lane roundabouts, taking different exits. Tests in simulated environments and on our prototype platform—Cybercar—validate the system on real urban environments, showing the proper behavior of the system.Item Reference ITS Architectures in Europe(Wiley-Blackwell, 2015-11-23) Molinete, Begoña; Campos, Sergio; Olabarrieta, Ignacio; Torre, Ana Isabel; Tecnalia Research & Innovation; LABORATORIO DE TRANSFORMACIÓN URBANA; SMART_TRANSPORT; IA; HPAThis chapter outlines the reference architectures conceived for intelligent transportation systems (ITS) planning and deployment in Europe, their evolution through the inputs provided by major ITS projects and initiatives and some experiences from the authors when facing the definition of ITS architectures through their involvement in research projects such as Cybercars-2 and MoveUs, by following different approaches. In view of the project's ambitious goals, the definition of an architecture supporting the cloud platform operation and the delivery of mobility services envisaged, with a predominant role of ITS, entailed a huge effort. The main objective was to define a comprehensive architecture for the MoveUs cloud-based platform, the specifications of its core facilities and the high- level interfaces between the different platform components. The methodology adopted to define the specifications of this platform integrated insights and approaches from different engineering fields: traffic engineering, data analytics, software architecting and cloud-based computation deployment.Item Study of the lane change maneuver: automated driving use case(2017) Lattarulo, Ray; Perez, Joshue; CCAMNowadays, the idea of a completely interconnected city with infrastructure, vehicles and even the humans on a connectivity loop is a reality.Item A Two-Stage Real-Time Path Planning: Application to the Overtaking Manuever: Application to the Overtaking Manuever(2020) Garrido, Fernando; Gonzalez, Leonardo; Milanes, Vicente; Perez, Joshue; Nashashibi, Fawzi; Rastelli, Joshue Perez; CCAMThis paper proposes a two-stage local path planning approach to deal with all kinds of scenarios (i.e. intersections, turns, roundabouts). The first stage carries out an off-line optimization, considering vehicle kinematics and road constraints. The second stage includes all dynamic obstacles in the scene, generating a continuous path in real-time. Human-like driving style is provided by evaluating the sharpness of the road bends and the available space among them, optimizing the drivable area. The proposed approach is validated on overtaking scenarios where real-time path planning generation plays a key role. Simulation and real results on an experimental automated platform provide encouraging results, generating real-time collision-free paths while maintaining the defined smoothness criteria.