Hasil Pencarian  ::  Simpan CSV :: Kembali

Abstrak :
"ABSTRAK
" Banyaknya kendaraan mengakibatkan banyak terjadinya kemacetan. Kemacetan mengakibatkan penggunaan bahan bakar lebih banyak dan meningkatkan produksi gas emisi CO2. Selain itu, kemacetan juga menyebabkan pengemudi menjadi tidak fokus. Untuk itu dikembangkan sistem ldquo;Auto Follower rdquo; yang dapat mengkontrol penggunaan bahan bakar dari mobil dan meningkatkan keamanan berkendara. Untuk itu, dilakukan pemodelan menggunakan 2 robot yaitu manual dan otomatis untuk melakukan pengambilan data berupa konsumsi baterai. Dari pengambilan data berupa pemakaian baterai didapatkan, model otomatis memiliki konsumsi baterai rata-rata sebesar 19.4 mAh pada kecepatan 2.594 Km/h, 12.1 mAh pada kecepatan 4.802 Km/h dan 9.1 mAh pada kecepatan 6.099 Km/h dan model manual 23.7 mAh pada kecepatan 2.594 Km/h, 15 mAh pada kecepatan 4.802 Km/h dan 11.1 mAh pada kecepatan 6.099 Km/h. sehingga dapat disimpulkan bahwa sistem dapat bekerja pada mobil aslinya. "

---

" "ABSTRACT
" Dozens of vehicles resulted in a lot of Trafic Jam. Trafic Jam leads to more fuel Consumtion and increased the production of CO2 emissions. In addition, Trafic Jam also causes the driver to become unfocused. Because of that, Auto Follower system was developed so that the fuel consumtion from the car can be controled and improve the safety of driving. therefore, to develop this system, used simulation modeling applied to 2 robots one with manual control and the other is automatic control to perform data acquisition in the form of battery consumption. From the data obtained, the automatic model has an average battery consumption of 19.4 mAh at speeds of 2.594 Km h, 12.1 mAh at speeds of 4.802 Km h and 9.1 mAh at speeds of 6.099 Km h and manual models average consumtion of 23.7 mAh at speeds of 2.594 Km h, 15 mAh at speeds of 4.802 Km h and 11.1 mAh at speed 6.099 Km h. so it can be concluded that the system can work on the original car.

Abstrak :
Saat ini banyak negara berlomba-lomba untuk berinovasi pada produknya, khususnya untuk produk otomotif, salah satu contohnya adalah kendaraan matic. Amerika dan Jepang telah menggunakan inovasi ini untuk mobilisasi jarak dekat dan jauh. Namun, Indonesia belum menggunakan kendaraan matic ini. Penelitian ini bertujuan untuk melihat hubungan antara variabel perilaku mengemudi, persepsi pengetahuan tentang kendaraan non matic, persepsi pengetahuan tentang kendaraan matic, teknologi yang diharapkan, kebiasaan menggunakan teknologi, dan kepedulian terhadap lingkungan dengan minat masyarakat dalam menggunakan kendaraan matic yang terlihat baru. Dengan dilakukannya penelitian ini, peneliti berharap kedepannya dapat meningkatkan pasar penjualan kendaraan matic di Indonesia. Penelitian ini melakukan survei terhadap 215 orang dengan menggunakan metode SEM dan dianalisis dengan menggunakan SPSS v.26 dan SmartPLS 3.2.9. Secara keseluruhan, 56,9% menyatakan bersedia menggunakan mobil matic. Hasil penelitian menunjukkan bahwa variabel yang mempengaruhi antara lain persepsi pengetahuan tentang kendaraan otomatis, teknologi yang diharapkan, dan kepedulian seseorang terhadap lingkungan berpengaruh signifikan terhadap kesiapan seseorang untuk menggunakan kendaraan otomatis. ......Currently, many countries are competing to innovate on their product, especially for automotive products, one of the examples is automatic vehicles. America and Japan have used this innovation for short and long distance mobilization. However, Indonesia has not yet used this automatic vehicle. This study aims to see at the relationship between driving behavior variables, perceived knowledge of non-automatic vehicles, perceived knowledge of automatic vehicles, expected technology, habit of using technology, and concern for the environment with the public's interest in using automatic vehicles that seem new. By doing this research, the researcher hopes that in the future it will increase the automatic vehicle sales market in Indonesia. This study conducted a survey of 215 people using the SEM method and analyzed using SPSS v.26 and SmartPLS 3.2.9. Overall, 56.9% said they were willing to use an automatic car. The results of the study show that the influencing variables include perceived knowledge about automatic vehicles, expected technology, and one's concern for the environment which have a significant effect on one's readiness to use an automated vehicle.

Abstrak :
Vehicle Control Unit (VCU) dalam kendaraan listrik merupakan sistem elektronik dalam mengatur dan mengontrol berbagai aspek operasional dari kendaraan listrik, sebagai contoh Sistem Penggerak Motor Listrik (Inverter). Sistem Pengelolaan Distribusi Daya (PDU),  dan Integrasi dengan Sistem lainnya dengan memanfaatkan komunikasi jaringan Controller Area Network (CAN-BUS). VCU berperan sebagai pusat pengendalian dengan mengirim dan menerima data dari sensor-sensor pada sistem, seperti suhu, arus, tegangan, dan data lainnya. Berdasarkan data tersebut, VCU mengolah data dan mengatur sistem tersebut, apakah dalam kondisi optimal atau perlu diadakannya penyetopan suplai dikarenakan kondisi sistem tersebut sedang mengalami galat. Penelitian ini berhasil menerapkan sistem VCU yang optimal dan berkomunikasi dengan sistem lainnya menggunakan protokol standar otomotif SAEJ-1939. ......The Vehicle Control Unit (VCU) on an electric vehicle is an electronic system to control various operational aspects of electric vehicles, for example, the Electric Motor Drive System, Power Distribution System, and Integration with other systems by utilizing the Controller Area Network (CAN-BUS) network communication. VCU serves as the central control hub to send and receive data from other systems sensors, such as temperature, current, voltage, and other data. From that data, VCU will process that data and send control data based on whether the system is in its optimal condition or experiencing an error. This research has succeeded in developing an optimal VCU system that communicates with other systems using automotive standard protocol SAEJ-1939.

Abstrak :
This thesis has focus study in traffic management using intelligent transportation system in urban area. The goal of this thesis is to improve the traffic management and space optimization using Intelligent Autonomous Vehicle (IAV) by describing traffic flow in macroscopic level. The two fluid model is appropriate model which provides characteristics of the performance of traffic flow on an urban road network. The model can generate a relationship between trip time, stop time and running time per km. To apply the model, the traffic data that obtained by using the traffic simulator of SCANeRTM studio.

Abstrak :
Search and classification using multiple autonomous vehicles provides a comprehensive study of decision-making strategies for domain search and object classification using multiple autonomous vehicles (MAV) under both deterministic and probabilistic frameworks. It serves as a first discussion of the problem of effective resource allocation using MAV with sensing limitations, i.e., for search and classification missions over large-scale domains, or when there are far more objects to be found and classified than there are autonomous vehicles available. Under such scenarios, search and classification compete for limited sensing resources. This is because search requires vehicle mobility while classification restricts the vehicles to the vicinity of any objects found. The authors develop decision-making strategies to choose between these competing tasks and vehicle-motion-control laws to achieve the proposed management scheme. Deterministic Lyapunov-based, probabilistic Bayesian-based, and risk-based decision-making strategies and sensor-management schemes are created in sequence. Modeling and analysis include rigorous mathematical proofs of the proposed theorems and the practical consideration of limited sensing resources and observation costs. A survey of the well-developed coverage control problem is also provided as a foundation of search algorithms within the overall decision-making strategies. Applications in both underwater sampling and space-situational awareness are investigated in detail. The control strategies proposed in each chapter are followed by illustrative simulation results and analysis.

Abstrak :
This book constitutes the joint refereed proceedings of the 4th International Workshop on Communication Technologies for Vehicles/Trains, Nets4Cars 2012 and Nets4Trains 2012, held in Vilnius, Lithuania, in April 2012. The 4 full papers of the rail track and 11 full papers of the road track presented were carefully reviewed and selected from numerous submissions. They provide an overview over latest technologies and research in the field of intra- and inter-vehicle communications (protocols and standards), mobility and traffic models (models, methodologies, and techniques), testing, and applications.