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Journal articles on the topic 'Intelligent Vehicle Highway Systems. Intelligent control systems. Adaptive control systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Hyeongcheol Lee and M. Tomizuka. "Adaptive vehicle traction force control for intelligent vehicle highway systems (IVHSs)." IEEE Transactions on Industrial Electronics 50, no. 1 (2003): 37–47. http://dx.doi.org/10.1109/tie.2002.807677.

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2

Do, Wooseok, Omid M. Rouhani, and Luis Miranda-Moreno. "Simulation-Based Connected and Automated Vehicle Models on Highway Sections: A Literature Review." Journal of Advanced Transportation 2019 (June 26, 2019): 1–14. http://dx.doi.org/10.1155/2019/9343705.

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This study provides a literature review of the simulation-based connected and automated intelligent-vehicle studies. Media and car-manufacturing companies predict that connected and automated vehicles (CAVs) would be available in the near future. However, society and transportation systems might not be completely ready for their implementation in various aspects, e.g., public acceptance, technology, infrastructure, and/or policy. Since the empirical field data for CAVs are not available at present, many researchers develop micro or macro simulation models to evaluate the CAV impacts. This stud

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Ning, Chen. "On-Line Measuring System for Urban Highway Traffic Flow Based on Video Detection Technique." Advanced Materials Research 108-111 (May 2010): 713–17. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.713.

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In intelligent transportation systems (ITS) for urban highway-nets, the data of traffic flow is very important to control and lead to traffic. According to chromatic aberration between vehicles and road surfaces in images caught from moving vehicles, a new method is proposed to analyze on-line traffic states based on video detection technique. firstly video for 10 frame/second sampling, difference operation of same region of two neighbored image is used to detect moving vehicle very quickly on measurement strap; secondly the result of difference was grayed ,horizontal projection and adaptive t

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4

Lee, Hyeongcheol, and Masayoshi Tomizuka. "Coordinated Longitudinal and Lateral Motion Control of Vehicles for IVHS." Journal of Dynamic Systems, Measurement, and Control 123, no. 3 (1998): 535–43. http://dx.doi.org/10.1115/1.1386395.

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This paper presents a systematic design of the combined control of vehicle longitudinal and lateral motions for the Intelligent Vehicle Highway Systems (IVHS). A fully coordinated control of the steering and the accelerating/braking actions is presented to maximize the ability of distributing the traction forces in a desired way. This control method covers a broad range of driving condition by removing several conventional simplification on vehicle dynamics, such as the linearized lateral traction force assumption, the bicycle model assumption, and the non-slip assumption. The nominal traction

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Noor, Ahmed K., and Sven A. Beiker. "Intelligent and Connected." Mechanical Engineering 134, no. 11 (2012): 32–37. http://dx.doi.org/10.1115/1.2012-nov-2.

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This article reviews the research and development of automated connected vehicles that aim to reduce road accidents, money, fuel, and conserve environment. Major automotive companies have added automated functions to their vehicles, and various driver assistance systems—adaptive cruise control, video-based lane analysis, and steering and braking assistance—are currently available on high-end models. Automated systems can assess some traffic situations faster than humans can. As a result, automated driving is expected to significantly reduce accidents and traffic fatalities, improve traffic flo

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Gong, Suning, Rakesh Kumar, and D. Kumutha. "Design of Lighting Intelligent Control System Based on OpenCV Image Processing Technology." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 29, Supp01 (2021): 119–39. http://dx.doi.org/10.1142/s0218488521400079.

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The high growth of vehicular travel in urban areas, in particular, requires a traffic control system that optimizes traffic flow efficiency. Traffic congestion can also occur by large de-lays in Red Light etc. The delay in lighting is difficult to code and does not rely on real traffic density. It follows that traffic controls are simulated and configured to better meet this rising demand. So, in order to avoid the traffic control problem, the Adaptive Intelligent Traffic Light control system (AITLCS) has been proposed based on OpenCV and Image processing technique. The system proposed is desi

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Fahad, Taqwa O., and Abduladhem A. Ali. "Multiobjective Optimized Routing Protocol for VANETs." Advances in Fuzzy Systems 2018 (December 11, 2018): 1–10. http://dx.doi.org/10.1155/2018/7210253.

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Vehicular ad hoc network (VANET) routing protocols have been attracting a considerable attention of both research and industrial communities, due to their significant role in intelligent transportation system applications. The present paper adopts an optimized integrated multicast, multicriteria, adaptive route lifetime as a routing protocol for VANETs. Whereby only an optimal subset of neighbor vehicles is chosen to relay route request (RREQ) messages based on distance, direction, speed, and future direction information in a combined sender-receiver manner. Among those selected optimal paths

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Grossman, Barry G., Li-Tien Huang, Paul J. Cosentino, and Wulf von Eckroth. "Three-Dimensional Structural Strain Measurement with the Use of Fiber-Optic Sensors." Transportation Research Record: Journal of the Transportation Research Board 1596, no. 1 (1997): 45–50. http://dx.doi.org/10.3141/1596-07.

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Three-dimensional strain sensing inside a structure is not feasible with conventional strain sensing techniques such as electrical strain gauges, which are limited to surface measurements. Three-dimensional strain measurement inside a structure would find uses in a variety of new applications: enhanced understanding and detection of composite failure modes, such as delamination; sensing for adaptive structural control; intelligent vehicle highway systems; and structural health monitoring systems for civil structures. The latter application could involve remotely monitoring structural integrity

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9

Hedrick, J. K. "Vehicle Control Issues in Intelligent Vehicle Highway Systems." IFAC Proceedings Volumes 28, no. 1 (1995): 195–202. http://dx.doi.org/10.1016/s1474-6670(17)45694-1.

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10

Baskar, L. D., J. Hellendoorn, B. De Schutter, and Z. Papp. "Traffic control and intelligent vehicle highway systems: a survey." IET Intelligent Transport Systems 5, no. 1 (2011): 38–52. http://dx.doi.org/10.1049/iet-its.2009.0001.

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11

Li, Meng, Yong Chen, Anjian Zhou, Wen He, and Xu Li. "Adaptive tracking control for networked control systems of intelligent vehicle." Information Sciences 503 (November 2019): 493–507. http://dx.doi.org/10.1016/j.ins.2019.07.003.

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12

Dounis. "Special Issue “Intelligent Control in Energy Systems”." Energies 12, no. 15 (2019): 3017. http://dx.doi.org/10.3390/en12153017.

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The editor of this special issue on “Intelligent Control in Energy Systems” have made an attempt to publish a book containing original technical articles addressing various elements of intelligent control in energy systems. The response to our call had 60 submissions, of which 27 were published submissions and 33 were rejections. This book contains 27 technical articles and one editorial. All have been written by authors from 15 countries (China, Netherlands, Spain, Tunisia, United States of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and Czech Republic),

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Osman, Kawther, Jawhar Ghommam, Hasan Mehrjerdi, and Maarouf Saad. "Vision-based curved lane keeping control for intelligent vehicle highway system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 8 (2018): 961–79. http://dx.doi.org/10.1177/0959651818810621.

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This article addresses the coordinated longitudinal and lateral motion control for an intelligent vehicle highway system. The strategy of this work consists of defining the edges of the traveled lane using a vision sensor. According to the detected boundaries, a constrained path-following method is proposed to drive the longitudinal and the lateral vehicle’s motion. Error constraints of the intelligent vehicle highway system position are manipulated by including the function of barrier Lyapunov in designing the guidance algorithm for the intelligent vehicle highway system. To calculate the nec

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Mast, Truman M., and Joseph I. Peters. "Intelligent Vehicle Highway Systems (IVHS): Human Factors Issues in Subsystem Development." Proceedings of the Human Factors Society Annual Meeting 36, no. 15 (1992): 1063. http://dx.doi.org/10.1518/107118192786749649.

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Intelligent Vehicle-Highway Systems (IVHS) is a major U.S. Department of Transportation initiative to improve the safety and efficiency of our nation's highways. IVHS includes five related components: Advanced Traffic Management Systems (ATMS); Advanced Traveler Information Systems (ATIS); Commercial Vehicle Operations (CVO); Advanced Vehicle Control Systems (AVCS); and, Advanced Public Transportation Systems (APTS). Although the Federal Highway Administration has initially chosen to address each of these components separately, a number of issues are shared by all components. One critical comm

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Urrea, Claudio, Felipe Garrido, and John Kern. "Design and Implementation of Intelligent Agent Training Systems for Virtual Vehicles." Sensors 21, no. 2 (2021): 492. http://dx.doi.org/10.3390/s21020492.

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This paper presents the results of the design, simulation, and implementation of a virtual vehicle. Such a process employs the Unity videogame platform and its Machine Learning-Agents library. The virtual vehicle is implemented in Unity considering mechanisms that represent accurately the dynamics of a real automobile, such as motor torque curve, suspension system, differential, and anti-roll bar, among others. Intelligent agents are designed and implemented to drive the virtual automobile, and they are trained using imitation or reinforcement. In the former method, learning by imitation, a hu

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Fernando, W. U. N., and S. Kumarawadu. "Discrete-time neuroadaptive control using dynamic state feedback with application to vehicle motion control for intelligent vehicle highway systems." IET Control Theory & Applications 4, no. 8 (2010): 1465–77. http://dx.doi.org/10.1049/iet-cta.2009.0144.

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Peters, Joseph I., and King M. Roberts. "Human Factors and Advanced Traffic Management Systems." Proceedings of the Human Factors Society Annual Meeting 36, no. 15 (1992): 1068–72. http://dx.doi.org/10.1518/107118192786749739.

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Advanced Traffic Management Systems (ATMS) are those components of Intelligent Vehicle Highway Systems (IVHS) that integrate traffic detection, communication, and control functions to be responsive to dynamic traffic conditions and increase the efficiency of existing traffic networks. ATMS provide the management foundation that will enable and integrate other IVHS components such as Commercial Vehicle Operations, Advanced Traveler Information Systems, Advanced Vehicle Control Systems, and Advanced Public Transportation Systems. This paper defines Advanced Traffic Management Systems. It also de

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Perez, William A., and Truman M. Mast. "Human Factors and Advanced Traveler Information Systems (ATIS)." Proceedings of the Human Factors Society Annual Meeting 36, no. 15 (1992): 1073–77. http://dx.doi.org/10.1518/107118192786749694.

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The nation's motoring public is increasingly burdened by recalcitrant transportation problems, many of them directly attributable to increasing traffic congestion. In response to this, the US. Department of transportation is actively moving on several fronts to address this problem. One of the more promising approaches to relieving congestion is through the design and implementation of new technology in the Intelligent Vehicle/Highway System (IVHS). IVHS is composed of five elements: Advanced Traffic Management Systems (ATMS), Advanced Traveler Information Systems (ATIS), Commercial Vehicle Op

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Cho, K. H., M. S. Lee, and J. T. Lim. "Supervisory control for optimal route guidance in intelligent vehicle highway systems based on hybrid network models." International Journal of Systems Science 31, no. 9 (2000): 1107–13. http://dx.doi.org/10.1080/002077200418388.

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Jiangtao Cao, Honghai Liu, Ping Li, and D. J. Brown. "State of the Art in Vehicle Active Suspension Adaptive Control Systems Based on Intelligent Methodologies." IEEE Transactions on Intelligent Transportation Systems 9, no. 3 (2008): 392–405. http://dx.doi.org/10.1109/tits.2008.928244.

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21

Song, Xiulan, Xiaoxin Lou, Junwei Zhu, and Defeng He. "Secure State Estimation for Motion Monitoring of Intelligent Connected Vehicle Systems." Sensors 20, no. 5 (2020): 1253. http://dx.doi.org/10.3390/s20051253.

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This paper considers the state estimation problem of intelligent connected vehicle systems under the false data injection attack in wireless monitoring networks. We propose a new secure state estimation method to reconstruct the motion states of the connected vehicles equipped with cooperative adaptive cruise control (CACC) systems. First, the set of CACC models combined with Proportion-Differentiation (PD) controllers are used to represent the longitudinal dynamics of the intelligent connected vehicle systems. Then the notion of sparseness is employed to model the false data injection attack

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22

Wang, Biyao, Yi Han, Di Tian, and Tian Guan. "Sensor-Based Environmental Perception Technology for Intelligent Vehicles." Journal of Sensors 2021 (September 2, 2021): 1–14. http://dx.doi.org/10.1155/2021/8199361.

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Environmental perception technology is the basis and premise of intelligent vehicle decision control of intelligent vehicles, a crucial link of intelligent vehicles to realize intelligence, and also the basic guarantee of its safety and intelligence. The accuracy and robustness of the perception algorithm will directly affect or even determine the realization of the upper function of intelligent vehicles. The wrong environmental perception will affect the control of the vehicle, thus causing safety risks. This paper discusses the intelligent vehicle perception technology and introduces the dev

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23

Gao, Kai, Shuo Huang, Jin Xie, Neal N. Xiong, and Ronghua Du. "A Review of Research on Intersection Control Based on Connected Vehicles and Data-Driven Intelligent Approaches." Electronics 9, no. 6 (2020): 885. http://dx.doi.org/10.3390/electronics9060885.

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Benefiting from the application of vehicle communication networks and new technologies, such as connected vehicles, video monitoring, automated vehicles and vehicle–road collaboration, traffic network data can be observed in real-time. Applied in the field of traffic control, these technologies can provide high-quality input data and make a more comprehensive evaluation of the effectiveness of traffic control. However, most of the control theories and strategies adopted by adaptive control systems cannot effectively use these real-time, high-precision data. In order to adapt to the development

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Huang, C., L. Chen, H. B. Jiang, C. C. Yuan, and T. Xia. "Nonlinear Analysis and Intelligent Control of Integrated Vehicle Dynamics." Mathematical Problems in Engineering 2014 (2014): 1–15. http://dx.doi.org/10.1155/2014/832864.

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With increasing and more stringent requirements for advanced vehicle integration, including vehicle dynamics and control, traditional control and optimization strategies may not qualify for many applications. This is because, among other factors, they do not consider the nonlinear characteristics of practical systems. Moreover, the vehicle wheel model has some inadequacies regarding the sideslip angle, road adhesion coefficient, vertical load, and velocity. In this paper, an adaptive neural wheel network is introduced, and the interaction between the lateral and vertical dynamics of the vehicl

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25

Rahman, Mizanur, Mashrur Chowdhury, Kakan Dey, M. Rafiul Islam, and Taufiquar Khan. "Evaluation of Driver Car-Following Behavior Models for Cooperative Adaptive Cruise Control Systems." Transportation Research Record: Journal of the Transportation Research Board 2622, no. 1 (2017): 84–95. http://dx.doi.org/10.3141/2622-08.

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A cooperative adaptive cruise control (CACC) system targeted to obtain a high level of user acceptance must replicate the driving experience in each CACC vehicle without compromising the occupant’s comfort. “User acceptance” can be defined as the safety and comfort of the occupant in the CACC vehicle in terms of acceptable vehicle dynamics (i.e., the maximum acceleration or deceleration) and string stability (i.e., the fluctuations in the vehicle’s position, speed, and acceleration). The primary objective of this study was to develop an evaluation framework for the application of a driver car-

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Rice, Robert, Rand Decker, Newel Jensen, Ralph Patterson, and Stanford Singer. "Rural Intelligent Transportation System for Snow Avalanche Detection and Warning." Transportation Research Record: Journal of the Transportation Research Board 1700, no. 1 (2000): 17–23. http://dx.doi.org/10.3141/1700-04.

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The growth of winter travel on alpine roads in the western United States, a result of the demand for reliable winter access, has increased the hazard to motorists and highway maintenance personnel from snow avalanches. Configurations are presented for systems that can detect and provide, in real time, warnings to motorists and highway maintainers of roadway avalanches. These warnings include on-site traffic control signing, in-vehicle audio alarms for winter maintenance vehicles, and notifying maintenance facilities or centralized agency dispatchers. These avalanche detection and warning syste

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Jalooli, Ali, Erfan Shaghaghi, Mohammad Reza Jabbarpour, Rafidah Md Noor, Hwasoo Yeo, and Jason J. Jung. "Intelligent Advisory Speed Limit Dedication in Highway Using VANET." Scientific World Journal 2014 (2014): 1–20. http://dx.doi.org/10.1155/2014/629412.

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Variable speed limits (VSLs) as a mean for enhancing road traffic safety are studied for decades to modify the speed limit based on the prevailing road circumstances. In this study the pros and cons of VSL systems and their effects on traffic controlling efficiency are summarized. Despite the potential effectiveness of utilizing VSLs, we have witnessed that the effectiveness of this system is impacted by factors such as VSL control strategy used and the level of driver compliance. Hence, the proposed approach called Intelligent Advisory Speed Limit Dedication (IASLD) as the novel VSL control s

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Liu, Wei, Ruochen Wang, Chenyang Xie, and Qing Ye. "Investigation on adaptive preview distance path tracking control with directional error compensation." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 234, no. 4 (2019): 484–500. http://dx.doi.org/10.1177/0959651819865789.

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Path tracking control cannot effectively satisfy the stability requirements of intelligent vehicles under large curvature conditions. To solve this problem, an adaptive preview distance path tracking controller with a hierarchical structure is proposed in this study. The vehicle centroid lateral acceleration and lateral error of the preview point are taken as the inputs of the upper controller, and the optimal preview distance is obtained based on fuzzy inference. To eliminate the subjective influence of the membership function and fuzzy rule selection in the fuzzy controller design, a genetic

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Alicandri, Elizabeth, and M. Joseph Moyer. "Human Factors and the Automated Highway System." Proceedings of the Human Factors Society Annual Meeting 36, no. 15 (1992): 1064–67. http://dx.doi.org/10.1518/107118192786749793.

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The Intelligent Vehicle-Highway System (IVHS) is an important and broad ranging Department of Transportation program to reduce congestion and increase safety on the nation's highway system. The Automated Highway System (AHS) represents the full realization of one IVHS subsystem, Automated Vehicle Control Systems. Efforts are underway to define and resolve critical human factors questions related to the AHS. As part of the process, human factors issues will be identified through development of hypothetical AHS scenarios. This requires a generic AHS scenario be presented, and affiliated human fa

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30

Aldair, A., and W. J. Wang. "Adaptive Neuro Fuzzy Inference Controller for Full Vehicle Nonlinear Active Suspension Systems." Iraqi Journal for Electrical and Electronic Engineering 6, no. 2 (2010): 97–106. http://dx.doi.org/10.37917/ijeee.6.2.3.

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The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements. This necessitates a very fast and accurate controller to meet as much control objectives, as possible. Therefore, this paper deals with an artificial intelligence Neuro-Fuzzy (NF) technique to design a robust controller to meet the control objectives. The advantage of this controller is that it can handle the nonlinearities faster than other convention

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31

Decker, Rand, Robert Rice, Steve Putnam, and Stanford Singer. "Rural Intelligent Transportation System Natural-Hazard Management on Low-Volume Roads." Transportation Research Record: Journal of the Transportation Research Board 1819, no. 1 (2003): 255–59. http://dx.doi.org/10.3141/1819a-37.

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The growth of winter travel on alpine roads in the western United States has increased the risk to motorists and highway maintenance personnel owing to a variety of natural hazards. Hazards include snow and ice, avalanching snow, and blowing and drifting snow. The conditions call for attendant need for incident response. A substantial number of affected routes are low-volume rural winter roads. Configurations have been developed for rural intelligent transportation system (ITS) technology that can detect hazards and provide, autonomously and in real time, warnings to and traffic control action

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Roopaei*, Mehdi, Hunter Durian, and Joey Godiska. "Explainable AI in Internet of Control System Distributed at Edge-Cloud Architecture." International Journal of Engineering and Advanced Technology 10, no. 3 (2021): 136–42. http://dx.doi.org/10.35940/ijeat.c2246.0210321.

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Many current control systems are restricted to highly controlled environments. In complicated dynamic and unstructured environments such as autonomous vehicles, control systems must be able to deal with more and more complex state situations. In complex systems with large number of states, it is often too slow to use optimal planners and developing heuristic tactics for high level goals can be challenging. AI control is an attractive alternative to traditional control architectures due to their capability to approximate optimal solutions in high dimensional state spaces without requiring a hum

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Goebel, Kai F., and Alice M. Agogino. "Sensor Validation and Fusion for Automated Vehicle Control Using Fuzzy Techniques." Journal of Dynamic Systems, Measurement, and Control 123, no. 1 (1998): 145–46. http://dx.doi.org/10.1115/1.1343909.

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This brief introduces a fuzzy sensor validation and fusion methodology and applies it to automated vehicle control in Intelligent Vehicle Highway Systems (IVHS). Sensor measurements are assigned confidence values through sensor-specific dynamic validation curves. The validation curves attain minima of zero at the boundaries of the validation gate. These in turn are determined by the largest physically possible change a system—in our example vehicles of the IVHS—can undergo in one time step. A fuzzy exponential weighted moving average time series predictor determines the location of the maximum

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Huang, Bin, and Ying Huang. "Multimode Intelligent Control Based on Multidata Fusion Filtering in High-Speed Train Traffic Signal and Control." Journal of Sensors 2021 (May 31, 2021): 1–10. http://dx.doi.org/10.1155/2021/6081999.

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As the speed of high-speed trains continues to increase, the intelligent monitoring of high-speed trains has become a concern of people. This research mainly discusses the application of multimode intelligent control of multidata fusion filtering in high-speed train traffic signal and control. In multimodal intelligent control, BangBang, PI control, adaptive fuzzy PID control, and expert monitoring control under special circumstances can be used, respectively, according to the error and the rate of change of the error, which can achieve the best control effect under safe conditions. Take the a

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35

Turker, Gul Fatma, and Akif Kutlu. "Methods of monitoring Vehicle’s CAN data with mobile devices." Global Journal of Computer Science 5, no. 1 (2015): 51. http://dx.doi.org/10.18844/gjcs.v5i1.31.

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<p>Informing the drivers are very important for ensuring the traffic flow properly and safely in highway transportation. Mobile devices take part in technologies that support the improvement of intelligent systems in traffic management and control systems which vehicle and way knowledge are shared. Due to the GPS, Accelaration, wi-fi etc. features of smart phones developed by using built-in sensors are prefered to use in traffic. In this study, how diagnostic tool ELM327, which reads data through vehicle network, communicates with mobile devices, what type of software are used for data t

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Hamaguchi, Masafumi, and Takao Taniguchi. "Emergency Avoidance Control System for an Automatic Vehicle – Slip Ratio Control Using Sliding Mode Control and Real-Number-Coded Immune Algorithm –." Journal of Robotics and Mechatronics 27, no. 6 (2015): 645–52. http://dx.doi.org/10.20965/jrm.2015.p0645.

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<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/06.jpg"" width=""300"" /> Vehicle behavior in emergency avoidance</div>The automotive industry facilitates research and development on intelligent transport systems. One area researched intensively to enhance passenger safety is the prevention of collisions by controlling steering and braking precisely. In this study, we assume that an automatic vehicle travelling on a highway is on a collision course with an obstacle. The purpose of this research is combining steering and braking to find a set of

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ZHANG, LIJUN, XUE QI, YONGJIE PANG, and DAPENG JIANG. "ADAPTIVE OUTPUT FEEDBACK CONTROL FOR TRAJECTORY TRACKING OF AUV IN WAVE DISTURBANCE CONDITION." International Journal of Wavelets, Multiresolution and Information Processing 11, no. 03 (2013): 1350027. http://dx.doi.org/10.1142/s0219691313500276.

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This paper develops an adaptive output feedback controller that forces an autonomous underwater vehicle (AUV), named Omni-Directional Intelligent Navigator (ODIN), to track a desired trajectory with bounded errors in wave disturbance condition. An adaptive controller is introduced based on a nonlinear model whose measurable output is corrupted by wave disturbances. Thus an observer is built to reconstruct the full states including wave velocity, wave motion displacement, vehicles velocity, position and rotation angle information which are used in the output feedback controller. Ultimate bounde

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Zhu, Senlai, Ke Guo, Yuntao Guo, Huairen Tao, and Quan Shi. "An Adaptive Signal Control Method with Optimal Detector Locations." Sustainability 11, no. 3 (2019): 727. http://dx.doi.org/10.3390/su11030727.

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The adaptive traffic signal control system is a key component of intelligent transportation systems and has a primary role in effectively reducing traffic congestion. The high costs of implementation and maintenance limit the applicability of the adaptive traffic signal control system, especially in developing countries. This paper proposes a low-cost adaptive signal control method that is easy to implement. Two detectors are installed in each vehicle lane at an optimal location determined by the proposed method to detect green and red redundancy time, based on which the original signal timing

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Yoshida, Hidehisa, Manabu Omae, and Takahiro Wada. "Toward Next Active Safety Technology of Intelligent Vehicle." Journal of Robotics and Mechatronics 27, no. 6 (2015): 610–16. http://dx.doi.org/10.20965/jrm.2015.p0610.

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<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/02.jpg"" width=""300"" /> Intelligent vehicle technologies</div>Autonomous driving has attracted attention in recent years from the viewpoint of energy consumption and traffic accident prevention; hence, its introduction has been desired. In Japan, various accident prevention safety technologies were developed for cooperative control between the driver and the vehicle system. For example, “adaptive cruise control system” and “lane departure warning system” were developed in the 1990s and “lane keep

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Madkour, M., and A. Maach. "Intelligent Pervasive Middleware for Context-Aware Vehicle Services." Journal of Communications and Computer Engineering 2, no. 3 (2011): 7. http://dx.doi.org/10.20454/jcce.2012.94.

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Transportation of goods and people plays a vital role in the lives of everyone and in virtually all businesses on earth accordingly the demand on our overburdened transportation system is increasing every day . The traffic congestion multiplies the effects of individual variations in driving performance as determined by physical abilities, knowledge, experience and, indeed, personality. We lose control over our plans and schedules; we rush because we're late; we cause accidents through recklessness and bad temper...In other hand The Intelligent Car initiative is an attempt to move towards a ne

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Bullock, Darcy. "Implementation Vision for Distributed Control of Traffic Signal Subsystems." Transportation Research Record: Journal of the Transportation Research Board 1554, no. 1 (1996): 43–47. http://dx.doi.org/10.1177/0361198196155400106.

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The developments that have led to the construction of the 2070 controller are reviewed. The intelligent transportation system community has proposed many features and user services that will likely use this new controller. In general, many of the functions proposed for this controller, such as emergency vehicle preemption, transit priority, weather monitoring, dynamic lane assignment, enhanced malfunction diagnostics, and adaptive algorithms, are all technically feasible. To achieve widespread deployment of systems that integrate several advanced traffic management system features, however, a

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Asemkhanuly, A., Zh Niyazova, A. Karpov, R. Ustemirova, and A. Kainarbekov. "Adaptive Frame of Universal Vehicle Course." Open Transportation Journal 14, no. 1 (2020): 194–203. http://dx.doi.org/10.2174/1874447802014010194.

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Background: Motor vehicles play an important role in the economies of many countries, providing efficient means of transporting goods and people. These vehicles can also have significant impacts on safety, infrastructure and the environment. Methods: The design of the suspension affects the vehicle's performance, in terms of the drive, damage to infrastructure, the working space of the suspension, power, and stability against overturning, stability against yaw, braking, and traction. Results: The article considers the types and methods of application of adaptive suspensions of modern vehicles,

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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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Nakrani, Naitik, and Maulin M. Joshi. "An adaptive motion planning algorithm for obstacle avoidance in autonomous vehicle parking." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 3 (2021): 687. http://dx.doi.org/10.11591/ijai.v10.i3.pp687-697.

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In the recent era, machine learning-based autonomous vehicle parking and obstacle avoidance navigation have drawn increased attention. An intelligent design is needed to solve the autonomous vehicles related problems. Presently, autonomous parking systems follow path planning techniques that generally do not possess a quality and a skill of natural adapting behavior of a human. Most of these designs are built on pre-defined and fixed criteria. It needs to be adaptive with respect to the vehicle dynamics. A novel adaptive motion planning algorithm is proposed in this paper that incorporates obs

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Gabibulayev, Magomed, and Bahram Ravani. "A Stochastic Form of a Human Driver Steering Dynamics Model." Journal of Dynamic Systems, Measurement, and Control 129, no. 3 (2005): 322–36. http://dx.doi.org/10.1115/1.2098927.

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This work develops a stochastic form of a human driver model which can be used for simulating vehicle guidance and control. The human motor-control function is complex and can be affected by factors such as driver’s training and experience, fatigue, road conditions, and attention. The variations in these effects become more pronounced in hazardous driving conditions such as in snow and ice. One example of such driving conditions is snow removal operation in highway maintenance, where the use of a stochastic driver model seems to be more desirable. This work evaluates and extends existing model

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Prokudin, Georgii, Myroslav Oliskevych, Alexey Chupaylenko, and Olexiy Dudnik. "Development of vehicle speed forecasting method for intelligent highway transport system." Eastern-European Journal of Enterprise Technologies 4, no. 3 (100) (2019): 6–14. http://dx.doi.org/10.15587/1729-4061.2019.174255.

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Vlasov, A., and T. Kruglova. "DEVELOPMENT AND MODELING OF AN ARTIFICIAL NEURAL NETWORK FOR THE AI-DRIVER IN THE COMPOSITION OF AN UNMANNED VEHICLE." Bulletin of Belgorod State Technological University named after. V. G. Shukhov 5, no. 8 (2020): 101–10. http://dx.doi.org/10.34031/2071-7318-2020-5-8-101-110.

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Improving control systems for unmanned vehicles is the most urgent task in robotics. The use of such a tool as artificial neural networks can solve problems with intelligent and adaptive control. The existing concept of AI driver (driver with artificial intelligence) implies a system capable of controlling the speed and position of an unmanned vehicle in space. This article proposes a method for developing an artificial neural network for an AI-driver, taking into account the appearance of obstacles in the path of an unmanned vehicle, compiling an empirical database for training, and modeling

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Wang, Zi-Hao, Kai-Yu Qin, Te Zhang, and Bo Zhu. "An Intelligent Ground-Air Cooperative Navigation Framework Based on Visual-Aided Method in Indoor Environments." Unmanned Systems 09, no. 03 (2021): 237–46. http://dx.doi.org/10.1142/s2301385021410065.

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In the future, heterogeneous robots are expected to perform more complex tasks in a cooperative manner, and the onboard navigation system is required to be capable of working safely and effectively in the area where GNSS signal is weak or even could not be received. To demonstrate this concept, we have developed a cooperative navigation system by the use of Ground-Aerial Vehicle Cooperation. The key innovations of the development lie in the following aspects: (1) a local scalable self-organizing network is constructed for data interaction between a small UAV and a reusable ground robot; (2) a

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Karimshoushtari, Milad, Carlo Novara, and Fabio Tango. "How Imitation Learning and Human Factors Can Be Combined in a Model Predictive Control Algorithm for Adaptive Motion Planning and Control." Sensors 21, no. 12 (2021): 4012. http://dx.doi.org/10.3390/s21124012.

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Interest in autonomous vehicles (AVs) has significantly increased in recent years, but despite the huge research efforts carried out in the field of intelligent transportation systems (ITSs), several technological challenges must still be addressed before AVs can be extensively deployed in any environment. In this context, one of the key technological enablers is represented by the motion-planning and control system, with the aim of guaranteeing the occupants comfort and safety. In this paper, a trajectory-planning and control algorithm is developed based on a Model Predictive Control (MPC) ap

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Onisawa, Takehisa, and Sadaaki Miyamoto. "Applications of Soft Computing to Human-centered Information Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 1 (1999): 1–2. http://dx.doi.org/10.20965/jaciii.1999.p0001.

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Soft computing was advocated by Prof. Zadeh as a total technology complementary to the advantages and disadvantages of fuzzy theory, neural network models, genetic algorithms, and so on - a wide variety of topics covered at scientific conferences, in books, in papers, etc. In human-centered information systems, human beings play a central role in information processing. Human information processing involves uncertainty, fuzziness, ambiguity, subjectivity, etc., be dealt with well by soft computing. Human-centered information processing systems are important fields of soft computing. This speci

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