Relevant bibliographies by topics / Intelligent control systems Automobiles Automobiles Automobiles Vehicle spacing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Conference papers

Academic literature on the topic 'Intelligent control systems Automobiles Automobiles Automobiles Vehicle spacing'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Intelligent control systems Automobiles Automobiles Automobiles Vehicle spacing"

1

Tsugawa, Sadayuki. "Special Issue on Fundamental Technologies for ITS." Journal of Robotics and Mechatronics 13, no. 4 (2001): 339. http://dx.doi.org/10.20965/jrm.2001.p0339.

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Intelligent transport systems (ITS), a combination of IT(Information Technology) and TS (Transport Systems), solves problems such as accidents and congestion, lessening environmental impact and conserving energy. As conventional solutions to traffic issues became less and less effective, high-tech solutions have been sought. Preceding the term ITS, coined in 1994, were road transport informatics (RTI), advanced transport telematics (AT), and intelligent vehicle-highway systems (IVHS). In the mid-1980s, large ITS projects started in Europe, the US, and Japan, but the use of high-tech solutions
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2

Nghia, Le Van. "Feedback in Automated Clutch Control Circuit for Truck Start-Up Process." Science & Technique 17, no. 5 (2018): 421–31. http://dx.doi.org/10.21122/2227-1031-2018-17-5-421-431.

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The paper presents description of a mechatronic control system for mechanical transmission of a 20-ton truck, as well as its adaptive start-up algorithm, transient process behavior which significantly affects durability of automated power unit elements, vehicle movement smoothness and driver’s comfort when driving. A multidisciplinary model of the mechatronic control system has been developed in the software package Imagine Lab AMESim because its power unit including a diesel engine, a dry frictional two-disc clutch, a main mechanical stepped gearbox and an additional gearbox has electrical co
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3

Xiao, Junchao, Hao Wu, and Xiangxue Li. "Internet of Things Meets Vehicles: Sheltering In-Vehicle Network through Lightweight Machine Learning." Symmetry 11, no. 11 (2019): 1388. http://dx.doi.org/10.3390/sym11111388.

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An internet of vehicles allows intelligent automobiles to interchange messages with other cars, traffic management departments, and data analysis companies about vehicle identification, accident detection, and danger warnings. The implementation of these features requires Internet of Things system support. Smart cars are generally equipped with many (hundreds or even thousands of) sensors and microcomputers so that drivers gain more information about travel. The connection between the in-vehicle network and the Internet can be leveraged by the attackers in a malicious manner and thus increases
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4

Dresner, K., and P. Stone. "A Multiagent Approach to Autonomous Intersection Management." Journal of Artificial Intelligence Research 31 (March 31, 2008): 591–656. http://dx.doi.org/10.1613/jair.2502.

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Artificial intelligence research is ushering in a new era of sophisticated, mass-market transportation technology. While computers can already fly a passenger jet better than a trained human pilot, people are still faced with the dangerous yet tedious task of driving automobiles. Intelligent Transportation Systems (ITS) is the field that focuses on integrating information technology with vehicles and transportation infrastructure to make transportation safer, cheaper, and more efficient. Recent advances in ITS point to a future in which vehicles themselves handle the vast majority of the drivi
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"Machine Learning Based Framework for Vehicle Make and Model Recognition." International Journal of Recent Technology and Engineering 9, no. 1 (2020): 1639–43. http://dx.doi.org/10.35940/ijrte.a2586.059120.

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Nowadays, the speedy increase with in the rage of the automobiles on the main road and urban roads have created several challenges regarding the proper management and management of traffic. This is a very significant framework for intelligent traffic monitoring and management. Vehicle analysis is an important component for many smart applications, that includes automated toll collection, self-guided car driver assistance systems, smart car parking systems. In a recent years, due to increased security awareness in parking lots, restricted areas and building for access control systems, the need
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"AI Enabled Blind Spot Detection using Rcnn Based Image Processing." International Journal of Recent Technology and Engineering 8, no. 2S5 (2019): 28–30. http://dx.doi.org/10.35940/ijrte.b1006.0782s519.

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Due to the rapid increase in the rate of road accidents and traffic density, modern automobiles are equipped with intelligent systems like Adaptive cruise control and Lane Departure Warning System. Therear-view mirror can be effective to observe a limited range only and there are zones that cannot be viewed. This region is referred to as the blind spot. Therefore, we present a method to detect the vehicles from the side and the rear for Blind Spot Detection with vision system incorporating RCNN. Blind spot detection is a key technology among driver aids that provides 360 degrees of electronic
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Dissertations / Theses on the topic "Intelligent control systems Automobiles Automobiles Automobiles Vehicle spacing"

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Sun, Xi. "An impedance model approach for adaptive cruise control." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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2

Sun, Jie. "Modelling and intelligent control of vehicle climatronic systems." Thesis, Nelson Mandela Metropolitan University, 2009. http://hdl.handle.net/10948/1118.

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The modelling and control method of a vehicle climatronic system, based on MATLAB/SIMULINK, is presented. In order to achieve high modelling accuracy, a developed simulation model library is introduced. The modelling approach is described and the developed models are validated with some of experimental data obtained. The models are nonlinear, independent of fluid type and based on thermo-dynamic principles. Analysis of the cooling circuit modelling and empirical real-time control models are created by using Fuzzy logic controller and Stateflow. Both of control input and output are implemented
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3

"Vision-based adaptive cruise control using a single camera." Thesis, 2015. http://hdl.handle.net/10210/13800.

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M.Ing. (Electrical and Electronic Engineering)<br>Adaptive Cruise Control (ACC) is proposed to assist drivers tedious manual acceleration or braking of the vehicle, as well as with maintaining a safe headway time gap. This thesis proposes, simulates, and implements a vision-based ACC system which uses a single camera to obtain the clearance distance between the preceding vehicle and the ACC vehicle. A three-step vehicle detection framework is used to obtain the position of the lead vehicle in the image. The vehicle coordinates are used in conjunction with the lane width at that point to estima
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4

Solomon, Cleshain Theodore. "Driver attention and behaviour monitoring with the Microsoft Kinect sensor." Diss., 2015. http://hdl.handle.net/10500/21798.

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Modern vehicles are designed to protect occupants in the event of a crash with some vehicles better at this than others. However, passenger protection during an accident has shown to be not enough in many high impact crashes. Statistics have shown that the human error is the number one contributor to road accidents. This research study explores how driver error can be reduced through technology which observes driver behaviour and reacts when certain unwanted patterns in behaviour have been detected. Finally a system that detects driver fatigue and driver distraction has been developed using no
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Books on the topic "Intelligent control systems Automobiles Automobiles Automobiles Vehicle spacing"

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O, Nwagboso Christopher, and International Series on Road Vehicle Automation., eds. Road vehicle automation II: Towards systems integration : proceedings of the 2nd International Conference on Road Vehicle Automation, Vehicle Systems Research Centre, Faculty of Technology, Bolton Institute, Bolton, UK, 11th-13th September 1995. Wiley, 1996.

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2

IEEE Intelligent Vehicles Symposium (2000 Dearborn, Michigan). Proceedings of the IEEE Intelligent Vehicles Symposium 2000: The Ritz-Carlton Hotel, Dearborn, MI, USA, Oct. 3-5, 2000. IEEE, 2000.

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3

IEEE Conference on Intelligent Transportation Systems (4th 2001 Oakland, California). ITSC 2001: 2001 IEEE Intelligent Transportation Systems Conference : proceedings : August 25-29, 2001, Oakland Marriott City Center Hotel Oakland (CA), USA. IEEE, 2001.

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4

International, Congress on Transportation Electronics (1996 Dearborn Mich ). Breaking paradigms: The seamless electro-mechanical vehicle : proceedings of the 1996 International Congress on Transportation Electronics : Convergence 1996. Society of Automotive Engineers, 1996.

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5

IEEE Intelligent Transportation Systems Council. and Zhongguo ke xue yuan. Key Laboratory of Complex Systems and Intelligence Science., eds. The proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems: October 12-15, 2003, Shanghai Worldfield Convention Hotel, Shanghai, China. IEEE, 2003.

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6

IEEE, Intelligent Transportation Systems Conference (10th 2007 Bellevue Wash ). 2007 IEEE Intelligent Transportation Systems Conference: Bellevue, WA, 30 September-3 October 2007. IEEE, 2007.

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7

IEEE, Conference on Intelligent Transportation Systems (7th 2004 Washington D. C. ). ITSC 2004: Proceedings, the 7th International IEEE Conference on Intelligent Transportation Systems. IEEE, 2004.

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8

IEEE Intelligent Transportation Systems Council. and National University of Singapore. Centre for Transportation Research., eds. The IEEE 5th International Conference on Intelligent Transportation Systems: Proceedings : September 3-6, 2002, Singapore. IEEE, 2002.

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International, Congress on Transportation Electronics (2000 Detroit Mich ). Automotive electronics: Delivering technology's promise : proceedings of the 2000 International Congress on Transportation Electronics. Society of Automotive Engineers, 2000.

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International, Congress on Transportation Electronics (1998 Dearborn MI ). Vehicle INFOTRONICS: Enabling the integrated mobility experience : proceedings of the 1998 International Congress on Transportation Electronics : Convergence 1998. Society of Automotive Engineers, 1998.

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Conference papers on the topic "Intelligent control systems Automobiles Automobiles Automobiles Vehicle spacing"

1

Ivers, Douglas, and Douglas LeRoy. "Improving Vehicle Performance and Operator Ergonomics: Commercial Application of Smart Materials and Systems." In ASME 2011 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/smasis2011-5058.

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This paper will discuss how controllable material technology, such as the use of active magneto-rheological (MR) dampers, improves vehicle primary and secondary suspensions. Although relatively new to the marketplace, semi-active suspensions in commercial automobiles and off-highway vehicles have been proven through the use of active MR dampers since 1998. In fact, MR suspension dampers are found today on the commercial vehicles of an increasing number of automotive OEMs and leading off-highway OEMs. MR fluid dampers are simple in design and have the advantage of no moving parts. The resistive
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2

Beyerl, Thomas, Bernard Ibru, Johnnie Williams, Imani Augusma, and Valentin Soloiu. "Location Sensor Fusion and Error Correction in Intelligent Vehicles." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67084.

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Autonomous vehicles provide an opportunity to reduce highway congestion and emissions, while increasing highway safety. Intelligently routed vehicles will also be better integrated with existing traffic patterns, minimizing travel times. By reducing the time wasted in traffic; harmful emissions will consummately be reduced. Well-designed autonomous control systems provide for increased highway safety by reducing the frequency and severity of traffic accidents caused by driver error. In order to achieve this, a robust multi-layered control system must be designed, which minimizes the likelihood
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Meierjurgen, Kenneth, Brian Harries, Marc Compere, and Yan Tang. "Sensorless Selective Catalytic Reduction Using Artificial Neural Networks for Emissions Prediction With Fuzzy Logic Control." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65301.

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The transportation industry is a major contributor to the increase of greenhouse gasses present in the atmosphere. With the number of automobiles increasing every year, the U.S. government has implemented several regulations to reduce the environmental impact of the transportation industry. The most recent regulations increase the Corporate Average Fuel Economy (CAFÉ) to over 50mpg by 2025. These increased fuel economy standards will save consumers money, reduce dependence on foreign oil and cut GHG emissions in half (1). In order to comply with these regulations and reduce GHG emissions, auto
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