scholarly journals Fast and Improved Real-Time Vehicle Anti-Tracking System

2020 ◽  
Vol 10 (17) ◽  
pp. 5928
Author(s):  
Olivier Oheka ◽  
Chunling Tu
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Tracking System ◽  
Adaboost Algorithm ◽  
Background Removal ◽  
Driving Assistance ◽  
Unique Approach ◽  
Computer Vision Systems ◽  
Real Time Information ◽  
Time Information

Safety on roads and the prevention of accidents have become major problems in the world. Intelligent cars are now a standard in the future of transportation. Drivers will benefit from the increased support for driving assistance. This means relying on the development of integrated systems that can provide real-time information to help drivers make decisions. Therefore, computer vision systems and algorithms are needed to detect and track vehicles. This helps traffic management and driving assistance. This paper focuses on developing a reliable vehicle tracking system to detect the vehicle that is following the host vehicle. The proposed system uses a unique approach consisting of a mixture of background removal techniques, Haar features in a modified Adaboost algorithm in a cascade configuration, and SURF descriptors for tracking. From the camera mounted at the rear of the host vehicle, videos are captured. The results presented in this paper demonstrate the potential and efficiency of the system.

Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

2017 ◽  
Vol 2658 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Yupo Chan
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Real Time ◽  
Traffic Management ◽  
Transportation Systems ◽  
Lessons Learned ◽  
Connected Vehicles ◽  
Ongoing Research ◽  
Real Time Information ◽  
Time Information

This paper reviews both the author’s experience with managing highway network traffic on a real-time basis and the ongoing research into harnessing the potential of telecommunications and information technology (IT). On the basis of the lessons learned, this paper speculates about how telecommunications and IT capabilities can respond to current and future developments in traffic management. Issues arising from disruptive telecommunications technologies include the ready availability of real-time information, the crowdsourcing of information, the challenges of big data, and the need for information quality. Issues arising from transportation technologies include autonomous vehicles and connected vehicles and new taxi-like car- and bikesharing. Illustrations are drawn from the following core functions of a traffic management center: ( a) detecting and resolving an incident (possibly through crowdsourcing), ( b) monitoring and forecasting traffic (possibly through connected vehicles serving as sensors), ( c) advising motorists about routing alternatives (possibly through real-time information), and ( d) configuring traffic control strategies and tactics (possibly though big data). The conclusion drawn is that agility is the key to success in an ever-evolving technological scene. The solid guiding principle remains innovative and rigorous analytical procedures that build on the state of the art in the field, including both hard and soft technologies. The biggest modeling and simulation challenge remains the unknown, including such rapidly emerging trends as the Internet of things and the smart city.

scholarly journals Improving Performance in Trust Based Multi-Link-Rat Communication for V2x Heterogeneous Vehicular Network

2021 ◽  
pp. 458-464
Author(s):  
G. Baskaran ◽  
G. Pragathi ◽  
S. Prithika ◽  
P. Rajeswari ◽  
B. Rubasri
Keyword(s):  
Real Time ◽  
Traffic Management ◽  
Vehicular Networks ◽  
Ad Hoc ◽  
Road Traffic ◽  
Vehicle Speed ◽  
V2v Communications ◽  
Real Time Information ◽  
Traffic Detection ◽  
Time Information

The dynamic nature of vehicular networks imposes a lot of challenges in multi hop data transmission as links are vulnerable in their existence due to associated mobility of vehicles. It is very difficult to establish and maintain end-to-end connections in a vehicle ad hoc network (VANET) as a result of high vehicle speed, long inter-vehicle distance, and varying vehicle density. Here propose a distributed heterogeneous V2V communications algorithm that allows each vehicle to dynamically select the RAT that is more suitable at each point in time. Multi-link is the capability of a device to communicate using multiple wireless links simultaneously. Multi-RAT is the capability of a device to communicate using different RATs. To propose a Predictive Routing based on Markov Model (PRM) to ensure more reliable and timely data transmissions in VANETs. In the case of accident management, emergency messages may be sent to a pre-determined road rescue site upon the occurrence of an accident, such as a crash on the highway during a snow day and a car spontaneous combustion due to the stored explosives. PRM can facilitate the transmission of real-time information from vehicles to a road traffic controller for more efficient traffic management. Rather than using passive traffic detection through sensors, the real-time reports of traffic data through V2V and V2I can avoid the costs of installing and maintaining a large number of sensors.

Potential Urban Rainfall Prediction Measurement System

1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel
Keyword(s):  
Real Time ◽  
The United States ◽  
Monitoring Systems ◽  
Climatic Region ◽  
Convective Storm ◽  
Rainfall Prediction ◽  
Water Quality Regulations ◽  
General Data ◽  
Real Time Information ◽  
Time Information

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.

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