Telekom Malaysia - Huawei

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Perspectives With GID capabilities, the IoV need no longer rely solely on static, external information sources. Sources can now be more diverse and far-reaching, but this will require major changes to ITS technologies. Micro system Macro system Unidirectional Lack of intelligence Non-ID Three functions of GID Short range Small coverage 0.001% Passive 1. Ubiquitous and converged communication 2. Online vehicle IDs (digital gene IDs) Slow movement High TCO, invisible Non-standard 3. Intelligent perception (enabling real-time vehicle status, ITS, SON, and IoV) Fig. 1 GID vs. RFID Vehicle and traffic status information can be gathered from the CAN bus and other sources; such information covers driving (location, direction, speed, and acceleration), status (inside and outside temperature, air flow, and tire pressure), power (fuel pressure, rotational speed, and oil level), vehicle safety (seatbelt, airbag, and door/window lock status), and environment (weather, road conditions, and congestion levels). GID-based IoV system Mutual IoV & ITS development IoV development has everything to do with ITS, automotive electronics, and mobile Internet access. Nextgen ITS development requires the overcoming of challenges such as comprehensive traffic status information access, timely detection of road conditions and vehicle operating status, and intelligent release of information based on relevant factors such as vehicle/road conditions, thereby providing travelers with more effective traffic information; this makes transportation more eco-friendly and efficient. ITS depends on the road and the vehicle equally. Traditional ITS solutions involve static and fixed road-related elements such as roadside units (RSUs), video shooting, roadside displays, RFID readers, traffic condition displays, and pressure-sensitive coils, but overlook the fact that vehicles themselves are the most relevant factors that affect traffic conditions, accidents and the roadside environment. The advent of GID-based IoV represents the evolution and advancement of traditional M2M and telematics. With GID capabilities, the IoV need no longer rely solely on static, external information sources. Sources can now be more diverse and farreaching, but this will require major changes to ITS technologies. Relationships between IoV and cloud computing The IoV will eventually generate much more information than the telecom industry. Take the ITS for example; the 25 DEC 2011
Multiple sources; comprehensive intelligence; dynamic information gathering layer Multi-channel, multi-mode information release layer Signal plate In-vehicle navigator Police service access PAD PC TV ITS information release via wireless Internet ITS comprehensive information gathering via IoT/IoV Converged broadband network ITS cloud SaaS platform Traffic guide information release Video on road conditions Traffic light system Automatic event detection 320 system "Online IDs" of vehicles GID Patrol car GID Pressure sensitive microwave information gathering Emergency hotlines End-to-end solution GID-based ITS cloud service platform Cloud PaaS basic platform Comprehensive information PaaS for cloud computing Cloud IaaS basic platform Cloud computing platform & infrastructure Cloud processing and control center Fig. 2 Overall ITS architecture based on cloud computing entire smart process of gathering, processing, and releasing dynamic traffic information from various sources across a city will require a petabyte-scale (10 15 ) information processing system. Cloud computing would seem suitable for handling data of this magnitude. In a cloud framework, systems for comprehensive information gathering and processing, road traffic status monitoring, vehicle regulation and guidance, signal control, system interlocking, prediction or information release must be integrated with the entire smart system. Information is shared among these systems so that unified decisions are made. Cloud services related to the IoV and ITS fall into the following three categories as shown in Fig. 2. Infrastructure as a Service (IaaS) – Basic IoV-and traffic-related computing services are based on the cloud framework, including vehicle/traffic status data storage, area-based vehicle monitoring/control, vehicle safety status monitoring/control, real-time traffic analysis, and access billing and settlement. Meanwhile, as a core capability, open APIs are provided to any third-party application developer to help them rapidly build related application services. Platform as a Service (PaaS) – Includes bulk GPS data and GID data processing, ITS holographic data processing, cloud storage, information mining and analysis, information security, and data buses. Software as a Service (SaaS) – Through basic cloud services and third-party service resources, any developer may create certain applications that support IoV and ITS from various terminals (PC browsers and mobile phones). Opportunities and challenges The IoV combines Internet, IoT, communication, automotive production, automotive after-sales service, ITS, automotive insurance, traffic control, LBS and mobile Internet elements. It will bring about fundamental changes to ITS, urban congestion management, transport & logistics, urban traffic, public facility construction, telecom operations, terminal manufacturing, and our collective lifestyle. However, it remains difficult to unify DEC 2011 26
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Telekom Malaysia - Huawei

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