Vehicle Detection and Traffic Estimation with Sensors Technologies for Intelligent Transportation Systems

Pankaj P. Tasgaonkar; Rahul Dev Garg; Pradeep Kumar Garg

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Vehicle Detection and Traffic Estimation with Sensors Technologies for Intelligent Transportation Systems

机译：车辆检测和交通估计与智能交通系统的传感器技术

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The paper reviews the vehicle detection methods using the intrusive and non-intrusive sensors. The objective of literature review is to summarize the sensors and technologies used in vehicle detection and traffic estimation. Integrating these sensors will give vital information by communicating with the monitoring station related to the presence of the vehicle on the road. Sensors and communicating technologies have a widespread application in intelligent transportation systems. The modern devices and technologies are discussed that determine the vehicle count, classification, location, speed, traffic volume, density, traffic estimation. Sensors fusion can further integrate information from different sources and provides more accuracy.

机译：本文综述了使用侵入式和非侵入式传感器的车辆检测方法。文献综述的目的是总结车辆检测和交通估计中使用的传感器和技术。整合这些传感器将通过与与车辆在路上的存在相关的监测站进行沟通来提供重要信息。传感器和沟通技术在智能交通系统中具有广泛应用。讨论了现代设备和技术，以确定车辆数，分类，位置，速度，交通量，密度，流量估计。传感器融合可以进一步将信息从不同来源集成并提供更多的准确性。

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来源
《Sensing and imaging》 |2020年第1期|29.1-29.28|共28页
作者
Pankaj P. Tasgaonkar; Rahul Dev Garg; Pradeep Kumar Garg;
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作者单位

Civil Engineering Department Indian Institute of Technology Roorkee Roorkee India;

Civil Engineering Department Indian Institute of Technology Roorkee Roorkee India;

Civil Engineering Department Indian Institute of Technology Roorkee Roorkee India;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Sensors; GPS; WSN; Intelligent transportation system (ITS); Vehicle detection; Vehicle classification;

机译：传感器;全球定位系统;WSN;智能交通系统（其）;车辆检测;车辆分类;

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专利

1. An Adaptive Vehicle Detection Algorithm Based on Magnetic Sensors in Intelligent Transportation Systems [J] . Xu Bin, Zheng Jianying, Wang Qing, Ad-hoc & sensor wireless networks . 2017,第1a4期

机译：智能交通系统中基于磁传感器的自适应车辆检测算法
2. Traffic flow guidance algorithm in intelligent transportation systems considering the effect of non-floating vehicle [J] . Chen Yu-Feng, Gao Zhan, Zhou Hong, Soft computing: A fusion of foundations, methodologies and applications . 2019,第19期

机译：考虑非浮动车辆效果的智能运输系统交通流引导算法
3. An efficient dynamic traffic light scheduling algorithm considering emergency vehicles for intelligent transportation systems [J] . Younes Maram Bani, Boukerche Azzedine Wireless Networks . 2018,第7期

机译：考虑应急车辆的智能交通系统高效动态交通信号灯调度算法
4. Impact of Visibility Classification Schemes on Traffic Efficiency in Intelligent Freeway Management Systems A Mechanism for all-Weather Transportation Services with Vehicle-Road Coordination Technology [C] . Ken Chen, Meng Zhang, Yong Tang, International Conference on Information Science, Computer Technology and Transportation . 2020

机译：可见性分类方案对智能高速公路管理系统交通效率的影响实现了与车辆道路协调技术的全天候运输服务机制
5. Applying Operations Research Techniques to Improve Motor Vehicle Crash Emergency Response and Traffic Monitoring Using Intelligent Transportation Sensors. [D] . Geetla, Tejswaroop Reddy. 2013

机译：应用运筹学技术，利用智能交通传感器改善机动车碰撞事故的应急响应和交通监控。
6. Vehicle Speed and Length Estimation Errors Using the Intelligent Transportation System with a Set of Anisotropic Magneto-Resistive (AMR) Sensors [O] . Vytautas Markevicius, Dangirutis Navikas, Adam Idzkowski, 2019

机译：使用带有一组各向异性磁阻（AMR）传感器的智能运输系统的车辆速度和长度估计误差
7. Vehicle Speed and Length Estimation Errors Using the Intelligent Transportation System with a Set of Anisotropic Magneto-Resistive (AMR) Sensors [O] . 2019

机译：使用具有一组各向异性磁阻（AMR）传感器的智能运输系统的车速和长度估计误差

Vehicle Detection and Traffic Estimation with Sensors Technologies for Intelligent Transportation Systems

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