Multiple Targets Detection and Acceleration Estimation for Intelligent Transport System

2014 ◽  
Vol 915-916 ◽  
pp. 453-458
Author(s):  
Zhi Gang Li ◽  
Jiang Tao Lv ◽  
Qiao Yun Wang
Keyword(s):  
Continuous Wave ◽  
Transportation System ◽  
Intelligent Transport System ◽  
Multiple Targets ◽  
Longitudinal Control ◽  
Intelligent Transport ◽  
Vehicle Communication ◽  
Wave Radar ◽  
Frequency Modulate ◽  
High Level

For intelligence transportation system,it is necessary to resolve the problems of multiple targets detection and vehicle longitudinal control with high level response capability. False targets can appearance because of mistaking the combination of these beat frequencies of Frequency Modulate continuous wave radar. A novel waveform named double-slope symmetrical saw-tooth wave is proposed and its corresponding algorithm is also introduced to resolve the problem of multiple targets detection for automotive anti-collision radar. About vehicle longitudinal control, the purpose of this paper is to propose new approach to estimating relative acceleration information for vehicle longitudinal control without inter-vehicle communication. Computer simulation results and theoretical analysis proved that the proposed methods are effective and practical for multiple targets detection and acceleration estimation in intelligence transportation system.

Target Range and Velocity Measurement to Reduce False Targets in FMCW Automotive Anti-Collision Radar

2012 ◽  
Vol 253-255 ◽  
pp. 1410-1417 ◽  
Author(s):  
Zhi Gang Li ◽  
Qiong Chan Gu
Keyword(s):  
Computer Simulation ◽  
Theoretical Analysis ◽  
Continuous Wave ◽  
Target Range ◽  
Multiple Targets ◽  
Fmcw Radar ◽  
Wave Radar ◽  
Frequency Modulate ◽  
Inherent Problem ◽  
Simulation Results

For frequency modulate continuous wave radar, it is necessary and difficult to search the pairs of beat frequencies in an up-chirp mode and a down-chirp mode t o measure range and velocity of multiple targets. However, the inherent problem of FMCW radar is multiple targets detection. False targets can appearance because of mistaking the combination of these beat frequencies. A novel waveform named double-slope symmetrical saw-tooth wave is proposed and its corresponding algorithm is also introduced to resolve the problem of multiple targets detection for automotive anti-collision radar. Computer simulation results and theoretical analysis prove that the method is effective and practical for multiple targets detection in intelligence transportation system.

scholarly journals A Novel Vital-Sign Sensing Algorithm for Multiple Subjects Based on 24-GHz FMCW Doppler Radar

2019 ◽  
Vol 11 (10) ◽  
pp. 1237 ◽  
Author(s):  
Hyunjae Lee ◽  
Byung-Hyun Kim ◽  
Jin-Kwan Park ◽  
Jong-Gwan Yook
Keyword(s):  
Vital Sign ◽  
Continuous Wave ◽  
Doppler Radar ◽  
Spectral Estimation ◽  
Estimation Method ◽  
Vital Signs ◽  
Phase Information ◽  
Multiple Targets ◽  
Wave Radar ◽  
24 Ghz

A novel non-contact vital-sign sensing algorithm for use in cases of multiple subjects is proposed. The approach uses a 24 GHz frequency-modulated continuous-wave Doppler radar with the parametric spectral estimation method. Doppler processing and spectral estimation are concurrently implemented to detect vital signs from more than one subject, revealing excellent results. The parametric spectral estimation method is utilized to clearly identify multiple targets, making it possible to distinguish multiple targets located less than 40 cm apart, which is beyond the limit of the theoretical range resolution. Fourier transformation is used to extract phase information, and the result is combined with the spectral estimation result. To eliminate mutual interference, the range integration is performed when combining the range and phase information. By considering breathing and heartbeat periodicity, the proposed algorithm can accurately extract vital signs in real time by applying an auto-regressive algorithm. The capability of a contactless and unobtrusive vital sign measurement with a millimeter wave radar system has innumerable applications, such as remote patient monitoring, emergency surveillance, and personal health care.

EFFECTIVE DATA DISSEMINATION FOR INFORMATION SHARING BASED ON INTER-VEHICLE COMMUNICATION

2007 ◽  
Vol 08 (04) ◽  
pp. 337-354 ◽  
Author(s):  
HIROYUKI SAGO ◽  
MASAKO SHINOHARA ◽  
TAKAHIRO HARA ◽  
SHOJIRO NISHIO
Keyword(s):  
Information Sharing ◽  
Data Dissemination ◽  
Data Availability ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Vehicle Communication ◽  
Route Information ◽  
Simulation Results ◽  
Near Future ◽  
Present Simulation

In an Intelligent Transport System (ITS), information sharing based on inter-vehicle communication is effective for improving data availability. In this paper, we propose a data dissemination method for sharing data items among vehicles, which increases the opportunity for vehicles to acquire more fresh data items that users request. In our proposed method, vehicles are grouped according to their locations, and movement directions that are estimated from their route information. Then, data items that are more likely to be accessed in the near future are disseminated between two groups. We also present simulation results to evaluate the performance of our proposed method.

scholarly journals An Intelligent Auto-Tracking Vehicle

2012 ◽  
Vol 1 (02) ◽  
pp. 08-13
Author(s):  
Ms. Ritika Dhabalia, Ms. Kritika Dhabalia
Keyword(s):  
Traffic Signal Control ◽  
Intelligent Transport System ◽  
Longitudinal Control ◽  
Intelligent Transport ◽  
Vehicle Systems ◽  
Smart Cars ◽  
Short Time ◽  
Free Ranging ◽  
The Given ◽  
Fundamental Requirement

With gas prices at historic highs and fuel-efficient cars in vogue, the time might be perfect to introduce the Smart Car. The chief goal of this paper is designing a smart car with transportation capabilities of a traditional car. The project introduces ways of making car to sense the environment and navigating on its own. The algorithm is implemented using a freescale’s32-bit MPC5604 microcontroller and CODEWARRIOR (IDE) software. It is based on Free Ranging on Grid Technology (FROG) which uses Automated Guided Vehicle Systems (AGV), which are driverless cars. An AGV is a robotic device that follows marks in the floor. The fundamental requirement for this smart car is to sense the given track in a most efficient and in a considerably very short time. The actuators used for lateral and longitudinal control were a servo and a D.C motor respectively. Thus a model car can be designed with electrical, electronic and mechanical systems and can be travelled in smoother and faster way in the track by electromechanical control. In such automated systems, vehicles are programmed to have various features to ensure smooth car navigation, traffic signal control, cameras to monitor and systems to maintain appropriate speed limits etc. Thus in future, this kind of smart cars acts as an intelligent transport system.

scholarly journals The key factors in transforming Birjand city to a smart city: smart mobility, smart government

2020 ◽  
Vol 19 (1) ◽  
pp. 317 ◽  
Author(s):  
Amirhossein Ghasemi ◽  
Mohsen Saberi
Keyword(s):  
Strategic Planning ◽  
Transport System ◽  
Intelligent Transportation System ◽  
Smart Cities ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Intelligent Transport System ◽  
Key Factors ◽  
Intelligent Transport ◽  
Smart Government

The physical development of urban communities and cities, as well as the advancement of communication and information world, increased the need for advanced technologies. Nowadays, many urban planners and managers, especially the mangers of the intelligent transport system and smart government, are concerned with the transformation of physical cities to electronic cities and finally too smart cities in the real world. Making electronic cities smart requires the full participation of urban management organizations in different sectors. In addition, the required frameworks should be designed and implemented based on the close relations of these organizations with each other. This study aimed to investigate the key factors in transforming Birjand city into a smarter city by focusing on two components of the intelligent transport system and smart government. In smart government, a structure is recommended that is appropriate for launching and preparing the policies and regulations that need to be covered by different dimensions. In smart transportation component, one of the most important and valuable solutions to the problems of transportation is the intelligent transport system (ITS).  In this context, measuring potentials and implementing strategic planning can play a key role in increasing service delivery and reducing problems. This research design is an applied study. It intends to introduce the principles and dimensions of the intelligent transportation system and explore the potentials and strategic planning opportunities in Birjand city using a descriptive-analytical method. The data were collected by the library - documentary method. Furthermore, the study was conducted as field-survey research (interviews and questionnaires). In continuation, the strengths and weaknesses, opportunities and threats (SWOT) of the intelligent transportation system were determined and analyzed using the SWOT strategic planning model. Finally, appropriate strategies were presented.

scholarly journals Investigation of intelligent transport system with optical vehicle-to-vehicle communication

2020 ◽  
Vol 2 (Special Issue ICAMET 10S) ◽  
pp. 132-137
Author(s):  
Qurratul Aini ◽  
Sabah Syed Nasirullah ◽  
Sumaya Tazeen ◽  
Mirza Younus Ali Baig ◽  
Lochan Rampal
Keyword(s):  
Transport System ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Vehicle To Vehicle Communication

scholarly journals Evaluation of the Feasibility of an Intelligent Transport System for an Urban Area

2021 ◽  
Vol 9 (12) ◽  
pp. 1501-1510
Author(s):  
S. A. Gawande
Keyword(s):  
Traffic Congestion ◽  
Intelligent Transportation System ◽  
New Technology ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Cost Ratio ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Traffic Systems ◽  
Utility Cost

Abstract: The Intelligent Transportation System is one of the burgeoning inventions that uses new technology to solve a variety of issues. Its compatibility with real-world issues in developing nations like India, such as traffic congestion, infrastructure demand, high traffic loads, and non-lane traffic systems. It is critical to assess a technology's potential in order to determine its viability. The goal of this article is to determine the utility cost ratio of implementation so that it may be evaluated without changing the existing infrastructure design. The end result is a utility cost analysis approach that takes social, economic, and environmental issues into account. As a result, the analysis is quickly examined so that the technology may be applied according to its appropriateness. Keywords: Investments, Congestion, Intelligent Transportation System (ITS), Benefits, Traffic.

scholarly journals A Local Information Sensing-Based Broadcast Scheme for Disseminating Emergency Safety Messages in IoV

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Wenjie Wang ◽  
Tao Luo ◽  
Hongxia Kang
Keyword(s):  
High Reliability ◽  
Traffic Density ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Broadcast Storm ◽  
Paper Making ◽  
Sensing Technology ◽  
Roadside Unit ◽  
Topology Information ◽  
High Level

Internet of Vehicle (IoV) is playing an increasingly important role in constructing an Intelligent Transport System (ITS) of safety, efficiency, and green. Safety applications such as emergency warning and collision avoidance require high reliability and timeliness for data transmission. In order to address the problems of slow response and local broadcast storm commonly existing among waiting-based relay schemes of emergency messages, a local topology information sensing technology-based broadcast (LISCast) protocol is proposed in this paper, making use of the advantage of probability-based forwarding scheme in redundancy inhibition. According to the beacon broadcasted periodically between vehicles, LISCast collects information about number and distribution of neighbor, from which the characteristic information such as effective candidate number, maximum forwarding distance, and global traffic density are extracted. Through embedding the characteristic information into the head of broadcast packets by the message sender for assisting in making relay decision, the alternative receivers uniformly schedule forwarding priorities in a distributed and adaptive way. LISCast works without the help of a roadside unit and generates a little more overhead. The simulation results show that LISCast improves the ability to adapt to dynamic topology by optimizing the performance of delay, redundancy, and broadcast efficiency upon the condition of satisfying the high level of transmission reliability.

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