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AI for Services
Published in Josep Aulinas, Hanky Sjafrie, AI for Cars, 2021
Today’s vehicles generate significant amounts of data because of onboard telematics monitoring (involving technology from telecommunications, electronics and software), driver assistance systems’ sensors, driver behavior monitoring and other sources. At the end of the day here we’re talking about big data which, combined with advanced data analytics, can provide rich insights to Original Equipment Manufacturers (OEMs), helping them not only to improve their internal processes but also to increase customer satisfaction. OEM-internal processes such as production, quality control, logistics and inventory greatly benefit from ML/AI algorithms. A good example on the production line is the use of a series of signals to train LSTM (Long-Short Term Memory, as you may recall) neural networks to help predict cracks during the manufacturing of metal sheets, allowing intervention before these cracks actually occur [97].
Real-time monitoring of the extended road network by utilising telematics technology
Published in Sandra Erkens, Xueyan Liu, Kumar Anupam, Yiqiu Tan, Functional Pavement Design, 2016
Telematics technology is utilised for vehicle fleet monitoring and management, the retrieval of hijacked/stolen vehicles, and driver behavioural insurance. Modern telematics devices installed in vehicles adopts GPS technology which is capable of locating a vehicle within a Circular Error Probability (CEP) of approximately 2.5 m. The position of the vehicle is thus then communicated to a Monitoring Centre via Global System for Mobile (GSM) technology. Telematics companies have the capability of continuously communicating with the Monitoring Centre. This is such as to increase frequency in the event of an emergency (SkyTrax, 2015).
Vehicle Functional Domains and Their Requirements
Published in Nicolas Navet, Françoise Simonot-Lion, Automotive Embedded Systems Handbook, 2017
Françoise Simonot-Lion, Yvon Trinquet
Telematics in vehicles includes systems that support information exchanges between vehicles or between vehicle and road infrastructures. For example, such systems are already used for collecting road tolls; in the near future, telematics will make it possible to optimize road usage through traffic management and congestion avoidance (Chapter 3), to automatically signal road collisions, to provide remote diagnostics (Section 1.2.6), or even to provide access to on-demand navigation, on-demand audio-video entertainment, Web surfing, sending or receiving e-mails, voice calls, short message services (SMSs), etc.
Adoption of a telemetry system by a logistics service provider for road transport of express cargo: a case study in Brazil
Published in International Journal of Logistics Research and Applications, 2019
Geraldo Cardoso de Oliveira Neto, Ivanir Costa, Washington Carvalho de Sousa, Marlene Paula Castro Amorim, Moacir Godinho Filho
In this vein, the adoption of telemetry can offer relevant advantages for the management of transportation (Barbosa and Musetti 2010). Telemetry systems, also known as telematics systems, resort to a wide range of sensors integrated into vehicles, which are able to capture data regarding their location and behaviour, which is then sent over cell networks to central units that process said information (Tracker Connect 2018). Telemetry or telematics stands for the remote measurement of vehicle behaviour, together with the transmission of data to a central (monitoring) office. Such systems allow companies, as well as other relevant users and stakeholders, to follow the activity of vehicles using information related to driving performance and fuel consumption, among others (Geers, Puers, and Goedseels 1997; Katsis et al. 2011; Kusano and Gabler 2013).
Product service system transition method: building firm’s core competence of enterprise
Published in International Journal of Production Research, 2019
Ming-Chuan Chiu, Chih-Yuan Chu, Tsai Chi Kuo
In the business sector of used car sales at CARPLUS®, a new product-oriented PSS can be introduced easily. Thanks to its core competence in automobile domain knowledge (especially in manufacturing, modification, and maintenance), a telematics automobile condition monitoring system can be installed in each vehicle. Using telematics, sensors are added to an automobile’s components to retrieve real-time data such as driving distance, average speed, time of using breaks, and speed variation. A unique database can be created to record the data for each vehicle and its users. Subsequently, CARPLUS® can inform potential buyers about a car’s usage information and maintenance needs or issues. Customer satisfaction is likely to improve with such continuous and real-time quality insurance measure.
Driving behaviors associated with emergency service vehicle crashes in the U.S. fire service
Published in Traffic Injury Prevention, 2018
D. P. Bui, C. Hu, A. M. Jung, K. M. Pollack Porter, S. C. Griffin, D. D. French, S. Crothers, J. L. Burgess
Driving behaviors are important contributing factors in nearly all road traffic crashes among the general U.S. population (Guo and Fang 2013; Ivers et al. 2009; Treat et al. 1979). Vehicle data recorders and similar systems that record driving data generated by on-board computers permit detailed study of driving behaviors and their association with crashes (Levick and Swanson 2005; Lotan and Toledo 2007; Lotan et al. 2009; Musicant et al. 2007; Prato et al. 2010; Toledo et al. 2008). Telematics systems use cellular networks to wirelessly transmit vehicle driving data to online servers where they can be viewed, downloaded, and analyzed remotely. Such systems can capture vehicle location, heading, and speed and are equipped with accelerometers to capture g forces to measure driving behaviors (e.g., hard acceleration or hard cornering).