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Journal articles on the topic 'Intelligent vehicles'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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Xiong, Xiaoxia, Shiya Zhang, and Yuexia Chen. "Review of Intelligent Vehicle Driving Risk Assessment in Multi-Vehicle Interaction Scenarios." World Electric Vehicle Journal 14, no. 12 (2023): 348. http://dx.doi.org/10.3390/wevj14120348.

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With the rapid breakthroughs in artificial intelligence technology and intelligent manufacturing technology, automotive intelligence has become a research hotspot, and much progress has been made. However, a skeptical attitude is still held towards intelligent vehicles, especially when driving in a complex multi-vehicle interaction environment. The interaction among multi-vehicles generally involves more uncertainties in vehicle motion and entails higher driving risk, and thus deserves more research concerns and efforts. Targeting the safety assessment issue of complex multi-vehicle interactio

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Małek, Arkadiusz, Andrzej Marciniak, and Dariusz Kroczyński. "Defining Signatures for Intelligent Vehicles with Different Types of Powertrains." World Electric Vehicle Journal 16, no. 3 (2025): 135. https://doi.org/10.3390/wevj16030135.

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This article presents a straightforward and effective way of adding the Internet of Vehicles function to vehicles with different drive systems. By equipping the vehicle with a transmission device that communicates with the vehicle’s on-board diagnostics system, the current parameters of the vehicle’s operation can be read. This allows for wireless transmission to the application installed on the mobile device. The current parameters related to the vehicle’s operation together with the location data from the Global Positioning System on the mobile device are transferred to the cloud server. In

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Seth, Ishita, Kalpna Guleria, and Surya Narayan Panda. "Introducing Intelligence in Vehicular Ad Hoc Networks Using Machine Learning Algorithms." ECS Transactions 107, no. 1 (2022): 8395–406. http://dx.doi.org/10.1149/10701.8395ecst.

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The automotive industry has gained popularity in the past decade, leading to tremendous advancements in intelligent vehicular networks. The increase in the number of vehicles on the roads makes it essential for vehicles to act intelligently as humans do. The concept of machine learning is that when vehicles learn and improve to operate by the previously processed data. The machine learning techniques have helped the automotive industry develop the driverless car. With the help of sensors and cameras, it is quite possible to use the machine learning algorithms and provide the user with its bene

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Zhu, Guangyu, Fuquan Zhao, Haokun Song, and Zongwei Liu. "Cost Analysis of Vehicle-Road Cooperative Intelligence Solutions for High-Level Autonomous Driving: A Beijing Case Study." Journal of Advanced Transportation 2024 (January 23, 2024): 1–22. http://dx.doi.org/10.1155/2024/6170743.

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The development of the vehicle-road cooperative intelligence can effectively resolve the current technical impediment and cost quandary associated with high-level autonomous driving. Nevertheless, the intelligent infrastructure entails initial deployment costs and ongoing energy consumption and maintenance costs, necessitating a comprehensive and quantitative analysis of the costs of intelligent infrastructure and the corresponding changes in comprehensive costs. The cost evaluation model for the cooperative intelligent system is designed in this paper, considering the corresponding intelligen

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Su, Xiaozhi, Fangrong Chen, Bowei Li, Liangchen Liu, and Yun Xiang. "Analysis of Carbon Emissions in Heterogeneous Traffic Flow within the Influence Area of Highway Off-Ramps." Applied Sciences 13, no. 17 (2023): 9554. http://dx.doi.org/10.3390/app13179554.

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With the continuous advancements in electrification, connectivity, and intelligence in the automotive industry, the mixed traffic of vehicles with different levels of driving automation is changing the carbon emission characteristics in the impact areas of off-ramps on highways. Considering the insufficient research on the carbon emission characteristics of heterogeneous traffic flow in the downstream influence areas of highway off-ramps, this study applied a scenario analysis method. Furthermore, considering factors such as vehicle composition, road control, and platoon management, it establi

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Mishra, Risabh, M. Safa, and Aditya Anand. "Internet of Vehicles: Commencing Intellectual Hoarse Towards Self-Regulating Cars and Vehicular Clouds for Smart Transportation Structure [Vehicular Ad-Hoc Network: A Review and Application in the Internet of Vehicles]." International Journal of Engineering & Technology 7, no. 3.12 (2018): 545. http://dx.doi.org/10.14419/ijet.v7i3.12.16176.

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Recent advances in wireless communication technologies and automobile industry have triggered a significant research interest in the field of Internet of Vehicles over the past few years.The advanced period of the Internet of Things is guiding the development of conventional Vehicular Networks to the Internet of Vehicles.In the days of Internet connectivity there is need to be in safe and problem-free environment.The Internet of Vehicles (IoV) is normally a mixing of three networks: an inter-vehicleNetwork, an intra-vehicle network, and a vehicle to vehicle network.Based on idea of three netwo

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Zhang, Linan, Yizhe Wang, and Huaizhong Zhu. "Theory and Experiment of Cooperative Control at Multi-Intersections in Intelligent Connected Vehicle Environment: Review and Perspectives." Sustainability 14, no. 3 (2022): 1542. http://dx.doi.org/10.3390/su14031542.

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A heterogeneous traffic flow consists of regular vehicles, and intelligent connected vehicles having interactive functions is updating the composition of the current urban-road network traffic flow. It has been a growing trend and will continue to be so. Because of the urgent demand, the research focused on three main parts of cooperative control methods under intelligent connected vehicles environment, typical traffic control application scenarios and experimental validation in intelligent connected vehicles conditions, and intersection-oriented hybrid traffic control mechanism for urban road

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Gao, Fei, Xiaojun Ge, Jinyu Li, Yuze Fan, Yun Li, and Rui Zhao. "Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions." Sensors 24, no. 16 (2024): 5172. http://dx.doi.org/10.3390/s24165172.

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Highly integrated information sharing among people, vehicles, roads, and cloud systems, along with the rapid development of autonomous driving technologies, has spurred the evolution of automobiles from simple “transportation tools” to interconnected “intelligent systems”. The intelligent cockpit is a comprehensive application space for various new technologies in intelligent vehicles, encompassing the domains of driving control, riding comfort, and infotainment. It provides drivers and passengers with safety, comfort, and pleasant driving experiences, serving as the gateway for traditional au

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S, SreeChandra, Neeraja K, Naga Pulla Rao A, Bala Krishna K, and Siva Prasad K. "Intelligent Collision Prevention System for Enhanced Road Safety." International Journal for Modern Trends in Science and Technology 11, no. 03 (2025): 94–100. https://doi.org/10.5281/zenodo.15084870.

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With the increasing number of vehicles on the road, the frequency of accidents is also rising. Many of these accidents occur due to inaccurate estimation of nearby vehicles, driver distractions, or other factors that hinder focus while driving. To prevent such incidents, it is crucial not only to estimate the distance of surrounding vehicles accurately but also to take immediate corrective actions.This project focuses on accident prevention by implementing a system that continuously measures the distance between the driving vehicle and the object ahead. Based on the vehicle's current speed, th

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Ming, Guo. "Exploration of the intelligent control system of autonomous vehicles based on edge computing." PLOS ONE 18, no. 2 (2023): e0281294. http://dx.doi.org/10.1371/journal.pone.0281294.

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The development of science and technology continues to promote the progress of society. The current intelligence and automation technology has become widely used in society. To this end, this study proposes a vehicle intelligent control system based on edge computing and deep learning to promote the far-reaching development of intelligent technology and automation technology. First, control algorithms are used to design a switch control strategy combining accelerator and brake. Second, a fuzzy control algorithm based on vehicle tracking and trajectory deviation is designed to enhance the vehic

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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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Özkul, Mükremin, Ilir Capuni, and Elton Domnori. "Context-Aware Intelligent Traffic Light Control through Secure Messaging." Journal of Advanced Transportation 2018 (November 5, 2018): 1–10. http://dx.doi.org/10.1155/2018/4251701.

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In this paper, we propose STCM, a context-aware secure traffic control model to manage competing traffic flows at a given intersection by using secure messages with real-time traffic information. The vehicle is modeled as a virtual sensor which reports the traffic state, such as its speed and location, to a traffic light controller through a secure and computationally lightweight protocol. During the reporting process, a vehicle’s identity and location are kept anonymous to any other vehicle in the system. At an intersection, the traffic light controller receives the messages with traffic info

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Wang, Biyao, Yi Han, Siyu Wang, et al. "A Review of Intelligent Connected Vehicle Cooperative Driving Development." Mathematics 10, no. 19 (2022): 3635. http://dx.doi.org/10.3390/math10193635.

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With the development and progress of information technology, especially V2X technology, the research focus of intelligent vehicles gradually shifted from single-vehicle control to multi-vehicle control, and the cooperative control system of intelligent connected vehicles became an important topic of development. In order to track the research progress of intelligent connected vehicle cooperative driving systems in recent years, this paper discusses the current research of intelligent connected vehicle cooperative driving systems with vehicles, infrastructure, and test sites, and analyzes the c

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Inder, Silva, and Shi. "Learning Control Policies of Driverless Vehicles from UAV Video Streams in Complex Urban Environments." Remote Sensing 11, no. 23 (2019): 2723. http://dx.doi.org/10.3390/rs11232723.

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The way we drive, and the transport of today are going through radical changes. Intelligent mobility envisions to improve the efficiency of traditional transportation through advanced digital technologies, such as robotics, artificial intelligence and Internet of Things. Central to the development of intelligent mobility technology is the emergence of connected autonomous vehicles (CAVs) where vehicles are capable of navigating environments autonomously. For this to be achieved, autonomous vehicles must be safe, trusted by passengers, and other drivers. However, it is practically impossible to

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Bathla, Gourav, Kishor Bhadane, Rahul Kumar Singh, et al. "Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities." Mobile Information Systems 2022 (June 6, 2022): 1–36. http://dx.doi.org/10.1155/2022/7632892.

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Intelligent Automation (IA) in automobiles combines robotic process automation and artificial intelligence, allowing digital transformation in autonomous vehicles. IA can completely replace humans with automation with better safety and intelligent movement of vehicles. This work surveys those recent methodologies and their comparative analysis, which use artificial intelligence, machine learning, and IoT in autonomous vehicles. With the shift from manual to automation, there is a need to understand risk mitigation technologies. Thus, this work surveys the safety standards and challenges associ

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Wang, Danqi, Wengang Deng, Lintao Wu, Li Xin, Lizhe Xie, and Honghao Zhang. "Impact of Vehicle Steering Strategy on the Severity of Pedestrian Head Injury." Biomimetics 9, no. 10 (2024): 593. http://dx.doi.org/10.3390/biomimetics9100593.

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In response to the sudden violation of pedestrians crossing the road, intelligent vehicles take into account factors such as the road conditions in the accident zone, traffic rules, and surrounding vehicles’ driving status to make emergency evasive decisions. Thus, the collision simulation models for pedestrians and three types of vehicles, i.e., sedans, Sport Utility Vehicles (SUVs), and Multi-Purpose Vehicle (MPVs), are built to investigate the impact of vehicle types, vehicle steering angles, collision speeds, collision positions, and pedestrian orientations on head injuries of pedestrians.

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18

Jin, Li Qiang, Chuan Xue Song, and Jian Hua Li. "Intelligent Velocity Control Strategy for Electric Vehicles." Applied Mechanics and Materials 80-81 (July 2011): 1180–84. http://dx.doi.org/10.4028/www.scientific.net/amm.80-81.1180.

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In conventional vehicles, the control of vehicle speed is achieved by changing the engine load through adjusting the acceleration pedal. However, in electric vehicles, this is achieved by controlling the target motor torque obtained from the look-up table in accordance with the position of acceleration pedal. This method is an open-loop control, with which the engine brake cannot be implemented during downhill trips. In this paper, a closed-loop control of vehicle speed for electric vehicles is proposed. The target vehicle speed is set by the acceleration pedal. The controller collects the rea

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19

Deng, Zhaoxue, Yangrui Zhang, and Shuen Zhao. "Distributed Intelligent Vehicle Path Tracking and Stability Cooperative Control." World Electric Vehicle Journal 15, no. 3 (2024): 89. http://dx.doi.org/10.3390/wevj15030089.

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To enhance the path tracking capability and driving stability of intelligent vehicles, a controller is designed that synergizes active front wheel steering (AFS) and direct yaw moment (DYC), specifically tailored for distributed-drive electric vehicles. To address the challenge of determining the weight matrix in the linear quadratic regulator (LQR) algorithm during the path tracking design for intelligent vehicles on conventional roads, a genetic algorithm (GA)-optimized LQR path tracking controller is introduced. The 2-degree-of-freedom vehicle dynamics error model and the desired path infor

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Fernández Llorca, David, Iván García Daza, Noelia Hernández Parra, and Ignacio Parra Alonso. "Sensors and Sensing for Intelligent Vehicles." Sensors 20, no. 18 (2020): 5115. http://dx.doi.org/10.3390/s20185115.

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Over the past decades, both industry and academy have made enormous advancements in the field of intelligent vehicles, and a considerable number of prototypes are now driving our roads, railways, air and sea autonomously. However, there is still a long way to go before a widespread adoption. Among all the scientific and technical problems to be solved by intelligent vehicles, the ability to perceive, interpret, and fully understand the operational environment, as well as to infer future states and potential hazards, represent the most difficult and complex tasks, being probably the main bottle

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Malerczyk, Jessica, Sabine Lerch, Bernd Tibken, and Anton Kummert. "Impact of intelligent agents on the avoidance of spontaneous traffic jams on two-lane motorways." MATEC Web of Conferences 308 (2020): 05003. http://dx.doi.org/10.1051/matecconf/202030805003.

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This paper approaches the evaluation of intelligent agents for the reduction and avoidance of spontaneous traffic jams, which arise without evident reason. Individual vehicles are regarded as intelligent agents that act autonomously. The basis of this work is the Nagel-Schreckenberg (NaSch) model. Its extensions by the velocity-dependent randomization (VDR) model and multiple lanes allow us to simulate realistic traffic and congestion situations on two-lane motorways. Our concept is applied to the model and analyzed by fundamental diagrams and the average velocity, for example. The results of

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Mai, Yi Ting, Jeng Yueng Chen, Yi Kuan Liu, Wen Yi Lee, Guan Ting Wu, and Ming Yuan Li. "Intelligent Vehicular Warning System for VANET." Applied Mechanics and Materials 145 (December 2011): 164–68. http://dx.doi.org/10.4028/www.scientific.net/amm.145.164.

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The vehicular ad hoc network (VANET) has made significant progress in recent years, attracting a lot of interest from academia and the industry. VANET involves vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications based on a wireless network. V2I refers to the communication between vehicles and infrastructure of roadside unit (RSU), e.g., a base station and access point (AP) connected to the Internet. V2V refers to the direct or multi-hop communications among vehicles in VANET. V2V is efficient and cost effective owing to its short range bandwidth advantage and its ad hoc

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Bian, Chentong, Guodong Yin, Liwei Xu, and Ning Zhang. "REAR-END COLLISION ESCAPE ALGORITHM FOR INTELLIGENT VEHICLES SUPPORTED BY VEHICULAR COMMUNICATION." Transport 37, no. 6 (2022): 398–410. http://dx.doi.org/10.3846/transport.2022.18172.

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To reduce rear-end collision risks and improve traffic safety, a novel rear-end collision escape algorithm is proposed for intelligent vehicles supported by vehicular communication. Numerous research has been carried out on rear-end collision avoidance. Most of these studies focused on maintaining a safe front clearance of a vehicle while only few considered the vehicle’s rear clearance. However, an intelligent vehicle may be collided by a following vehicle due to wrong manoeuvres of an unskilled driver of the following vehicle. Hence, it is essential for an intelligent vehicle to maintain a s

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Saputro, Joko Slamet, Miftahul Anwar, Feri Adriyanto, et al. "Design of intelligent cruise control system using fuzzy-PID control on autonomous electric vehicles prototypes." Journal of Mechatronics, Electrical Power, and Vehicular Technology 15, no. 1 (2024): 105–16. http://dx.doi.org/10.55981/j.mev.2024.877.

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Electric vehicles provide a solution for using alternative fuels, namely, electricity. Electric vehicles are used for short distances and intercity travel over long distances, increasing the risk of accidents. Cruise Control is a technology embedded in vehicles to maintain stable speeds; this system will automatically adjust the vehicle's speed when motion changes cause changes in vehicle speed. This study aims to apply lidar sensors to detect distance in the Intelligent Cruise Control (ICC) system using the Fuzzy-PID control method. Testing results were obtained at safe distance inputs of 5,

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Bhavana, N., T. Darshan, S. Sushanth, Fernandes Shiny, and C. Ankitha. "Road Lane Detection System Using Image Processing." International Journal of Human Computations and Intelligence 2, no. 3 (2023): 138–46. https://doi.org/10.5281/zenodo.7937958.

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Real-time automated road lane detection is an indispensable part of intelligent vehicle safety system. The most significant development for intelligent vehicles is driver assistance system. This driver assistance system holds great promise in increasing safety, convenience and efficiency of driving. The driver assistance system involves camera-assisted system which takes the real-time images from the surroundings of the vehicle and displays relevant information to the driver. Thus, intelligent vehicles automatically collect the road lane information and vehicle position relative to the lane. C

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Liu, Zongwei, Hong Tan, Xu Kuang, Han Hao, and Fuquan Zhao. "The Negative Impact of Vehicular Intelligence on Energy Consumption." Journal of Advanced Transportation 2019 (July 24, 2019): 1–11. http://dx.doi.org/10.1155/2019/1521928.

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The development of intelligent vehicle will provide the Chinese automotive industry with a strategic opportunity for transformation and upgrading. Vehicular intelligence provides new solutions for energy conservation and emissions mitigation. However, the process of vehicular intelligence is progressive. The saving of energy consumption depends on the high smart car market penetration rate. But one thing that can be confirmed is that intelligent vehicles are equipped with advanced sensors, controllers, and actuators, in combination with connecting communication technologies compared with conve

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Gao, Hongbo, Xinyu Zhang, Yuchao Liu, and Deyi Li. "Cloud Model Approach for Lateral Control of Intelligent Vehicle Systems." Scientific Programming 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/6842891.

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Studies on intelligent vehicles, among which the controlling method of intelligent vehicles is a key technique, have drawn the attention of industry and the academe. This study focuses on designing an intelligent lateral control algorithm for vehicles at various speeds, formulating a strategy, introducing the Gauss cloud model and the cloud reasoning algorithm, and proposing a cloud control algorithm for calculating intelligent vehicle lateral offsets. A real vehicle test is applied to explain the implementation of the algorithm. Empirical results show that if the Gauss cloud model and the clo

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Wang, Qiong, Yan Yu, and Zhen Min Tang. "Architecture Design for Intelligent Vehicle Computing Platform Based on Internet of Vehicles." Applied Mechanics and Materials 253-255 (December 2012): 1423–26. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1423.

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Traffic congestion, accidents and caused environment pollution have become the common problems faced by the world. So how to improve traffic of city has become the focus of the global concern. The development of intelligent computing, Internet of Vehicles, wireless networks and so forth have provided a new idea for solving the increasing transportation issue in cities. Intelligent vehicle computing platform is key component of Internet of Vehicles. In this paper, we discussed the intelligent vehicle computing technology and proposed the architecture of intelligent vehicle computing platform.

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Mansour, Ayman M. "Cooperative Multi-Agent Vehicle-to-Vehicle Wireless Network in a Noisy Environment." International Journal of Circuits, Systems and Signal Processing 15 (February 22, 2021): 135–48. http://dx.doi.org/10.46300/9106.2021.15.15.

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With the rapid development of vehicle communication and the goal of self-driving vehicle, research in this area is still ongoing, as car companies aspire for more studies and effective communication methods between vehicles. In this research, we have developed an intelligent, innovative and fully integrated multi agent model, which is used for vehicle-to-vehicle communications. The developed model is supported by an intelligent system based on a Nonlinear External Neural Network (NARX) and signal estimation theory. The system is built using real vehicles sensors, Arduino, GSM and RF technologi

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Zhang, Kun, Kezhen Han, and Nanbin Zhao. "RSS Tracking Control for AVs Under Bayesian-Network-Based Intelligent Learning Scheme." Actuators 14, no. 1 (2025): 37. https://doi.org/10.3390/act14010037.

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In complex real-world traffic environments, the task of automatic lane changing becomes extremely challenging for vehicle control systems. Traditional control methods often lack the flexibility and intelligence to accurately capture and respond to dynamic changes in traffic flow. Therefore, developing intelligent control strategies that can accurately predict the behavior of surrounding vehicles and make corresponding adjustments is crucial. This paper presents an intelligent driving control scheme for autonomous vehicles (AVs) based on a responsibility-sensitive safety (RSS) tracking control

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Zhao, Chaohui. "Research on an Intelligent Vehicle Emergency Avoidance Algorithm Based on User Behaviour Learning." Highlights in Science, Engineering and Technology 119 (December 11, 2024): 727–33. https://doi.org/10.54097/k0505r27.

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With the development of the Internet of Vehicles and the high-precision lane-level navigation system, vehicles can receive more road details. And the systems will provide conditions for the development of the emergency avoidance function. This paper studies a vehicle automatic emergency avoidance algorithm based on user behaviour learning. The research is based on the Internet of Vehicles to obtain user driving data, generate a user database, and through the analysis of the avoidance track under the user's active operation conditions, generate a track equation or empirical formula, and the veh

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Ruan, Xian Jing. "Design of New Energy Vehicle Intelligent Anti-Collision System." Advanced Materials Research 1028 (September 2014): 234–38. http://dx.doi.org/10.4028/www.scientific.net/amr.1028.234.

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The new energy vehicle intelligence anti-collision system, is a new energy vehicle safety assist device , can timely and intuitive display the obstacles of new energy vehicles’ around, help the driver to remove the dead angle of vision and the flaw of sight, in case of emergency, intelligent control of brake. The research of this paper is that new energy vehicle intelligent anti-collision system of a kind of low cost, high precision, miniaturization and with a liquid crystal display and sound , light alarm function center on the single chip AT89S52 , the product is developed according to the p

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Migal, Vasiliy, Shchasiana Arhun, Andrii Hnatov, Hanna Hnatova, and Pavlo Sokhin. "Intelligent diagnosics of vehicles." Vehicle and electronics. Innovative technologies, no. 22 (December 27, 2022): 72–80. http://dx.doi.org/10.30977/veit.2022.22.0.5.

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Problem. Diagnostics or troubleshooting is an integral part of the operation of automotive technology, and as automotive systems become more complex, the need for diagnostic skills increases, so diagnostic methods by the human senses should be considered an integral part of technical diagnostics at all stages of a vehicle life cycle. Methodology. Analytical methods are used to study the methods of diagnosing vehicles with the help of the intellectual abilities of the operator-diagnostician. Results. The paper shows that the intellectual abilities of the operator-diagnostician play an important

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Wang, Ji Zhe, and Zhan Jie Wang. "Architecture Design of Urban Intelligent Transportation Using Cloud Computing." Advanced Materials Research 605-607 (December 2012): 2549–52. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2549.

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This article does a further research on the technologies of cloud computing and intelligent public transportation, designs a human-centered intelligent public transportation system, improves the connection between passengers and vehicles, vehicles and vehicles. Technologies of BeiDou messaging, capacity sensor, RFID and Web are used to improve the intelligence of public transportation information platform. This article makes an architecture design in intelligent transportation based on cloud computing and uses the embedded system as the core. The architecture allows passengers to obtain needed

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Li, Lin, Zeyu Hu, and Xubo Yang. "Intelligent Analysis of Abnormal Vehicle Behavior Based on a Digital Twin." Journal of Shanghai Jiaotong University (Science) 26, no. 5 (2021): 587–97. http://dx.doi.org/10.1007/s12204-021-2348-7.

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AbstractAnalyzing a vehicle’s abnormal behavior in surveillance videos is a challenging field, mainly due to the wide variety of anomaly cases and the complexity of surveillance videos. In this study, a novel intelligent vehicle behavior analysis framework based on a digital twin is proposed. First, detecting vehicles based on deep learning is implemented, and Kalman filtering and feature matching are used to track vehicles. Subsequently, the tracked vehicle is mapped to a digital-twin virtual scene developed in the Unity game engine, and each vehicle’s behavior is tested according to the cust

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Tian, M. Z., L. Liu, J. Y. Lu, and Y. Cheng. "Vehicle recognition based on Haar features and Adaboost cascade classifier." Journal of Physics: Conference Series 2303, no. 1 (2022): 012052. http://dx.doi.org/10.1088/1742-6596/2303/1/012052.

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Abstract With the progress of world science and economic development, more and more industries are developing towards intelligence and automation. In the field of intelligent driving, the intelligent vehicle environment perception method based on machine vision has become a hot research topic. Based on monocular vision system, aiming at the requirements of different target features and detection accuracy and efficiency, this paper improves the Haar feature and Adaboost cascade classifier recognition algorithm combined with gray symmetry method to adapt to the recognition environment required b

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Zhou, Yunya, Yang He, Yu Yan, et al. "Autonomous charging docking control method for unmanned vehicles based on vision and infrared." Journal of Physics: Conference Series 2584, no. 1 (2023): 012065. http://dx.doi.org/10.1088/1742-6596/2584/1/012065.

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Abstract Unmanned vehicle charging is part of the autonomous workflow of unmanned vehicles. Most existing unmanned vehicles mostly rely on manual battery change or manual charging, which cannot realize autonomous charging. In order to achieve simpler and safer autonomous charging for unmanned vehicles, this paper proposes a new intelligent unmanned vehicle autonomous charging docking method based on infrared guidance and vision assistance. Firstly, the autonomous charging device and intelligent charging stand for unmanned vehicles are designed, and for the unmanned vehicle, charging is not eas

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Skakov, M., T. Islamgozhayev, and A. A. Abdildayeva. "AN IMAGE DATASET FOR MILITARY VEHICLE DETECTION AND CLASSIFICATION (DMVDC)." Herald of the Kazakh-British technical university 22, no. 1 (2025): 74–83. https://doi.org/10.55452/1998-6688-2025-22-1-74-83.

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The technology of intelligent detection of military vehicle objects has already become the foundation for tasks related to intelligence and tracking of weapons and equipment, which is essential for situational awareness in modern intelligent warfare. Over the past two decades, numerous datasets of military vehicle images have been collected, primarily focusing on the classification of various categories of military vehicles. However, almost all these datasets are not publicly available, and the publicly available ones suffer from annotation quality issues. To address the lack of datasets and t

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Wu, Junjie. "Research on Intelligent Control Technology of Air Conditioning Systems for New Energy Vehicles." Highlights in Science, Engineering and Technology 119 (December 11, 2024): 703–8. https://doi.org/10.54097/dbx3ba69.

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With the significant development of science and society at present, the relevant technologies of new energy vehicles are also constantly innovating. As an important component of vehicles, the air conditioning system should also keep up with its developing trend in terms of intelligent control technology, which can meet the reasonable requirements of users' environmentally friendly and comfortable sitting experience, as well as society's demand for energy conservation and efficiency improvement. This paper conducts research on key technologies of intelligent control systems for air conditioning

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Cao, Yaoguang, Yuyi Chen, and Lu Liu. "Research prospect of autonomous driving decision technology under complex traffic scenarios." MATEC Web of Conferences 355 (2022): 03031. http://dx.doi.org/10.1051/matecconf/202235503031.

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Decision-making system is the essential part of the autonomous vehicle “brain”, which determines the safety and stability of vehicles, and is also the key to reflect the intelligent level of autonomous vehicles. Compared with simple scenarios such as expressway, urban traffic scenarios have the characteristics of complex and frequent interaction between traffic participants. Carrying out in-depth research on complex traffic scenarios and optimizing autonomous decision-making algorithms are the key methods for the purpose of promoting the application of autonomous driving technologies. In the f

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Ji, Yong Gang, Han Ming Zheng, and Yan Peng Zhang. "Electromagnetic Identification Intelligent Vehicle System Design." Applied Mechanics and Materials 401-403 (September 2013): 1695–98. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1695.

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This paper introduces the electromagnetic identification intelligent vehicles hardware system design diagram and software design process based MC9S12XSl28 microcontroller, focusing on the design of intelligent vehicle power unit circuit, the electromagnetic signal amplification circuit, the motor drive module, gives a detailed schematic. Software design give a specific design flow, integrated hardware and software design constitutes intelligent vehicles overall system.

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Ma, Jiandong. "Design of Intelligent Vehicle Monitoring System Based on ZigBee." MATEC Web of Conferences 173 (2018): 02026. http://dx.doi.org/10.1051/matecconf/201817302026.

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In order to meet the needs of real-time positioning and remote dispatching of vehicle, this paper designs a ZigBee-based embedded vehicle terminal and the corresponding ZigBee-GPRS information communication network in hardware and software. With LPC2366 processor and CC2430 RF chip as core, the vehicle terminal acquires the vehicle‘s status in cycle, and completes the vehicle monitoring and scheduling by transmitting data to communication nodes by ZigBee and passing the data on to the monitoring center by GPRS. This vehicle terminal is characterized by small size, low energy consumption and id

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Wang, Feng, and Zhaofeng Zhang. "Route Control and Behavior Decision of Intelligent Driverless Truck Based on Artificial Intelligence Technology." Wireless Communications and Mobile Computing 2022 (September 7, 2022): 1–10. http://dx.doi.org/10.1155/2022/7025081.

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With the increase in global car ownership, the demand for traffic safety is very strong. Research shows that drivers account for more than 90% of global traffic accidents. Driverless cars can reduce traffic accidents caused for these reasons and greatly improve traffic safety. At the same time, driverless real-time path planning can select the best driving route for vehicles, reduce traffic congestion, and improve the efficiency of transportation. To sum up, driverless vehicles are considered an important solution to ensure traffic safety, improve traffic efficiency, reduce energy consumption

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Sun, Yang, Guang Ming Xiong, Hui Yan Chen, Shao Bin Wu, Jian Wei Gong, and Yan Jiang. "A Cost Function-Oriented Quantitative Evaluation Method for Unmanned Ground Vehicles." Advanced Materials Research 301-303 (July 2011): 701–6. http://dx.doi.org/10.4028/www.scientific.net/amr.301-303.701.

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Task driven approach is widely used as an evaluation method for intelligent vehicle, however this approach may lead to many teams using the conservative approach to complete the task. Although the competition task can be completed, it has deviated from the goal of technological development actually. A cost function-oriented quantitative evaluation method is proposed in this study. The time to complete each task and the quality of each indicator are considered in the evaluation method. The cost function-oriented quantitative evaluation method guides the intelligent vehicle’s development in the

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Chohra, Amine, and Ouahiba Azouaoui. "Navigation Behaviors Based on Fuzzy ArtMap Neural Networks for Intelligent Autonomous Vehicles." Advances in Artificial Neural Systems 2011 (December 8, 2011): 1–11. http://dx.doi.org/10.1155/2011/523094.

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The use of hybrid intelligent systems (HISs) is necessary to bring the behavior of intelligent autonomous vehicles (IAVs) near the human one in recognition, learning, adaptation, generalization, decision making, and action. First, the necessity of HIS and some navigation approaches based on fuzzy ArtMap neural networks (FAMNNs) are discussed. Indeed, such approaches can provide IAV with more autonomy, intelligence, and real-time processing capabilities. Second, an FAMNN-based navigation approach is suggested. Indeed, this approach must provide vehicles with capability, after supervised fast st

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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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Rajashekara, Kaushik, and Sharon Koppera. "Data and Energy Impacts of Intelligent Transportation—A Review." World Electric Vehicle Journal 15, no. 6 (2024): 262. http://dx.doi.org/10.3390/wevj15060262.

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The deployment of intelligent transportation is still in its early stages and there are many challenges that need to be addressed before it can be widely adopted. Autonomous vehicles are a class of intelligent transportation that is rapidly developing, and they are being deployed in selected cities. A combination of advanced sensors, machine learning algorithms, and artificial intelligence are being used in these vehicles to perceive their environment, navigate, and make the right decisions. These vehicles leverage extensive data sourced from various sensors and computers integrated into the v

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Fayyazi, Mojgan, Paramjotsingh Sardar, Sumit Infent Thomas, et al. "Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles." Sustainability 15, no. 6 (2023): 5249. http://dx.doi.org/10.3390/su15065249.

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Environmental emissions, global warming, and energy-related concerns have accelerated the advancements in conventional vehicles that primarily use internal combustion engines. Among the existing technologies, hydrogen fuel cell electric vehicles and fuel cell hybrid electric vehicles may have minimal contributions to greenhouse gas emissions and thus are the prime choices for environmental concerns. However, energy management in fuel cell electric vehicles and fuel cell hybrid electric vehicles is a major challenge. Appropriate control strategies should be used for effective energy management

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Huang, Hsu-Chih, Chin-Wang Tao, Chen-Chia Chuang, and Jing-Jun Xu. "FPGA-Based Mechatronic Design and Real-Time Fuzzy Control with Computational Intelligence Optimization for Omni-Mecanum-Wheeled Autonomous Vehicles." Electronics 8, no. 11 (2019): 1328. http://dx.doi.org/10.3390/electronics8111328.

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This study presents a field-programmable gate array (FPGA)-based mechatronic design and real-time fuzzy control method with computational intelligence optimization for omni-Mecanum-wheeled autonomous vehicles. With the advantages of cuckoo search (CS), an evolutionary CS-based fuzzy system is proposed, called CS-fuzzy. The CS’s computational intelligence was employed to optimize the structure of fuzzy systems. The proposed CS-fuzzy computing scheme was then applied to design an optimal real-time control method for omni-Mecanum-wheeled autonomous vehicles with four wheels. Both vehicle model an

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Meng, Zhixin. "Study of Interaction Interface of Vehicles for Automatic Driving." Transactions on Computer Science and Intelligent Systems Research 5 (August 12, 2024): 451–56. http://dx.doi.org/10.62051/scqs6k83.

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With the rapid development of the vehicle and information industries, the traditional vehicle has been transformed from a simple travel tool to an intelligent vehicle with comprehensive functions, intelligence, and rich information. As a standard function of intelligent vehicles, automated driving will greatly reduce or even replace humans for vehicle control, and the human-machine interaction system pays more attention to displaying the driving status and prompting the driver in an intuitive way, to make the driver fully trust the vehicle and obtain safe driving experience. In this paper, I s

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