scholarly journals TRAFFIC CONTROL MANAGEMENT FOR CONNECTIVITY ROADS FROM HYDERABAD TO WARANGAL HIGH WAY (NH163)

Due to the ever increasing need for transportation, there will be increasingly automobile overloads except if some sweeping measures are taken. There are numerous conceivable approaches to diminish blockage, (for example, constructing new streets, new evaluating strategies, move of transport from street to prepare or send, et cetera). In any case, since activity blockage is a squeezing issue that seriously affects both the economy and nature, there unquestionably is a requirement for measures that can be executed on the here and now. In this paper we talk about from a frameworks and control perspective a portion of the techniques that can be utilized to decrease activity clog issues. We will center around Warangal high way (NH 164) and ring streets First we quickly examine the Automated Highway Systems (AHS) structure, which prompts a decrease of activity clog and to a superior utilization of the accessible limit of the transportation organize. ATMS utilize propelled displaying, recreation, streamlining and media transmission procedures to create and to actualize different activity strategy measures to decrease movement blockage. The between vehicle detachment, which relies upon the vehicle braking ability, control circle delays and working velocity, is then used to process siteautonomous upper limits on AHS limit with regards to a given blend of vehicle classes. The affectability of the limit as for the level of between vehicle participation, registration strategies (administering least adequate vehicle-braking capacity), thruway speed cutoff points, and path utilize arrangements (overseeing the sharing of a path by numerous vehicle classes) is additionally examined.

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 35
Author(s):  
Jae-Min Shin ◽  
Yu-Sin Kim ◽  
Tae-Won Ban ◽  
Suna Choi ◽  
Kyu-Min Kang ◽  
...  

The need for drone traffic control management has emerged as the demand for drones increased. Particularly, in order to control unauthorized drones, the systems to detect and track drones have to be developed. In this paper, we propose the drone position tracking system using multiple Bluetooth low energy (BLE) receivers. The proposed system first estimates the target’s location, which consists of the distance and angle, while using the received signal strength indication (RSSI) signals at four BLE receivers and gradually tracks the target based on the estimated distance and angle. We propose two tracking algorithms, depending on the estimation method and also apply the memory process, improving the tracking performance by using stored previous movement information. We evaluate the proposed system’s performance in terms of the average number of movements that are required to track and the tracking success rate.


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