Relevant bibliographies by topics / Traffic Alert/Collision Avoidance System

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Traffic Alert/Collision Avoidance System'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Traffic Alert/Collision Avoidance System"

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Ford CEng MRAeS, Terry. "Traffic Alert and Collision Avoidance System." Aircraft Engineering and Aerospace Technology 62, no. 4 (April 1990): 21–23. http://dx.doi.org/10.1108/eb036922.

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Tang, Jun, Miquel Angel Piera, Yunxiang Ling, and Linjun Fan. "Extended Traffic Alert Information to Improve TCAS Performance by means of Causal Models." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/303768.

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Near-midair collisions (NMACs) between aircraft have long been a primary safety concern and have incessantly motivated the development of ingenious onboard collision avoidance (CA) systems to reduce collision risk. The Traffic Alert and Collision Avoidance System (TCAS) acts as a proverbially accepted last-resort means to resolve encounters, while it also has been proved to potentially induce a collision in the hectic and congested traffic. This paper aims to improve the TCAS collision avoidance performance by enriching traffic alert information, which strictly fits with present TCAS technological requirements and extends the threat detection considering induced collisions and probabilistic pilot response. The proposed model is specified in coloured Petri net (CPN) formalism, to generate by simulation all the future possible downstream reachable states to enhance the follow-up decision making of pilots via synthesising relevant information related to collision states. With the complete state space, the potential collision scenarios can be identified together with those manoeuvres that may transform a conflict into a collision. The causal TCAS model is demonstrated to work effectively for complex multiaircraft scenarios and to identify the feasible manoeuvres that contribute to reduce the nonzero TCAS-induced collision risk.
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Craigen, D., S. Gerhart, and T. Ralston. "Case study: Traffic Alert and Collision-Avoidance System." IEEE Software 11, no. 1 (January 1994): 35–28. http://dx.doi.org/10.1109/ms.1994.1279942.

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Chappell, Sheryl L., Barry C. Scott, and Charles E. Billings. "Information Transfer in Pilots' Use of a Collision Avoidance System." Proceedings of the Human Factors Society Annual Meeting 31, no. 4 (September 1987): 428–31. http://dx.doi.org/10.1177/154193128703100410.

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This paper describes a study of pilots' use of the Traffic-alert and Collision Avoidance System. Three levels of information on the location of other air traffic were presented to different groups of airline pilots. (These levels represent the approaches taken by several airlines who have installed the collision avoidance system for an in-service evaluation.) Current airline flight crews flew a Boeing 727 simulator for eight flights with a set of encounters with other aircraft. To ensure safe separation from the approaching aircraft, the collision avoidance system commands a climb, a descent, or a reduction in rate of climb or descent. Aircraft separation was effective when the system was in use; no aircraft came within 200 feet vertically and 1000 feet horizontally. No measure of response time showed performance effects across display conditions. Response accuracy, as measured by the overshoot in rate of climb or descent, was significant: the mean for condition 1 (no traffic information) was 2246 feet/minute, condition 2 1220 feet/minute, and condition 3 1304 feet/minute (F=4.57, df=2,64, p<.05). However there were no resultant differences in the amount of altitude change. No learning effects were observed. Differences in flight experience did not contribute to the performance difference found. The results of this research represent pilot behavior when introduced to the Traffic-alert and Collision Avoidance System. The findings of this program also have more fundamental importance in addressing how much and in what manner information should be presented to flight crews.
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Brooker, Peter. "STCA, TCAS, Airproxes and Collision Risk." Journal of Navigation 58, no. 3 (August 19, 2005): 389–404. http://dx.doi.org/10.1017/s0373463305003334.

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The focus here is on the performance of and interaction between the Traffic Alert and Collision Avoidance System (TCAS) and the controller's short-term conflict alert (STCA) system. The data source used is UK Airprox Board Reports of close encounters between aircraft, and the focus is on commercial air transport aircraft using UK controlled airspace with a radar service. Do the systems work well together? Are controllers surprised when they find out that a pilot has received a TCAS resolution advisory? What do TCAS and STCA events say about collision risk? Generally, the systems seem to work together well. On most occasions, controllers are not surprised by TCAS advisories: either they have detected the problem themselves or STCA has alerted them to it. The statistically expected rate of future mid-air collisions is estimated by extrapolation of Airprox closest encounter distances.
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Tang, Jun. "Review: Analysis and Improvement of Traffic Alert and Collision Avoidance System." IEEE Access 5 (2017): 21419–29. http://dx.doi.org/10.1109/access.2017.2757598.

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Tsou, Ming-Cheng, Sheng-Long Kao, and Chien-Min Su. "Decision Support from Genetic Algorithms for Ship Collision Avoidance Route Planning and Alerts." Journal of Navigation 63, no. 1 (December 1, 2009): 167–82. http://dx.doi.org/10.1017/s037346330999021x.

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When an officer of the watch (OOW) faces complicated marine traffic, a suitable decision support tool could be employed in support of collision avoidance decisions, to reduce the burden and greatly improve the safety of marine traffic. Decisions on routes to avoid collisions could also consider economy as well as safety. Through simulating the biological evolution model, this research adopts the genetic algorithm used in artificial intelligence to find a theoretically safety-critical recommendation for the shortest route of collision avoidance from an economic viewpoint, combining the international regulations for preventing collisions at sea (COLREGS) and the safety domain of a ship. Based on this recommendation, an optimal safe avoidance turning angle, navigation restoration time and navigational restoration angle will also be provided. A Geographic Information System (GIS) will be used as the platform for display and operation. In order to achieve advance notice of alerts and due preparation for collision avoidance, a Vessel Traffic Services (VTS) operator and the OOW can use this system as a reference to assess collision avoidance at present location.
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Williamson, T., and N. A. Spencer. "Development and operation of the Traffic Alert and Collision Avoidance System (TCAS)." Proceedings of the IEEE 77, no. 11 (1989): 1735–44. http://dx.doi.org/10.1109/5.47735.

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Ford, R. L. "The Conflict Resolution Process for TCAS II and Some Simulation Results." Journal of Navigation 40, no. 3 (September 1987): 283–303. http://dx.doi.org/10.1017/s0373463300000564.

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The paper is mainly concerned with the principles used by TCAS (Traffic alert and Collision Avoidance System) to resolve conflicts between airborne aircraft. It leans heavily on an earlier paper which describes the threat-detection process. The simulation results given were obtained using a fast-time computer model for random traffic and comprise statistics on miss distance, warning time, etc., for a simple traffic pattern.
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Begault, Durand R., and Marc T. Pittman. "Three-Dimensional Audio Versus Head-Down Traffic Alert and Collision Avoidance System Displays." International Journal of Aviation Psychology 6, no. 1 (January 1996): 79–93. http://dx.doi.org/10.1207/s15327108ijap0601_5.

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Dissertations / Theses on the topic "Traffic Alert/Collision Avoidance System"

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Tuttell, Robert Joseph. "Human factors aspects of the Traffic Alert and Collision Avoidance System (TCAS II)." Thesis, Monterey, California : Naval Postgraduate School, 1988. http://hdl.handle.net/10945/23047.

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The objective of this study was to investigate three areas of interaction between pilots and the TCAS II Collision Avoidance System in order to examine the following areas of concern: (1) Did pilots maneuver on traffic advisory (TA) information? (2) Did the pilots' use of the system increase the miss distance between conflicting aircraft? (3) Would an alternate design for the resolution advisory (RA) display be more effective than the current display? The first two questions were answered with data obtained from a NASA-Ames simulation using airline crews and a Boeing 727 flight simulator. Evaluation of these data reveal 14 incidents were pilots successfully maneuvered their aircraft using TA information. Forty scenarios where the TCAS II system directed evasive maneuvers were examined. These results show that the recommended avoidance maneuvers increased aircraft miss distance in 37 cases. Alternate designs for the resolution advisory display were evaluated using military and civilian pilots reacting to a computer display simulation. These results demonstrate that a 'red and green' RA display is more effective than the current 'red only' RA display. Keywords: Air traffic control systems, Theses. (sdw)
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Fleming, Elizabeth Scott. "Developing a training program for the traffic alert and collision avoidance system in context." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47578.

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The Traffic alert and Collision Avoidance System (TCAS) is an aircraft collision avoidance system designed to prevent mid-air collisions. During an advisory, danger is imminent, and TCAS is assumed to have better, more up-to-date information than the ground operated air traffic control (ATC) facility. Following a TCAS RA is generally the safe course of action during an advisory. However, pilot compliance with RAs is surprisingly low. Results from a TCAS monitoring study show pilots are not complying with many TCAS advisories. As revealed by pilot-submitted Aviation Safety Reporting System (ASRS) reports, this noncompliance could be attributed, in part, to pilot confusion to TCAS operation as well as misunderstandings of the appropriate response to a TCAS issued advisory. This thesis details the development and evaluation of a TCAS training program intended to improve pilots' understanding of TCAS use for collision avoidance in a range of traffic situations. The training program integrated Demonstration Based and Event Based Training techniques. Its efficacy was analyzed in an integrated ATC-cockpit simulator study in which eighteen commercial airline pilots were asked to complete the TCAS training program and afterwards experienced twelve experimental traffic events. The trained pilots' performance was compared to the performance of 16 baseline pilots who did not receive the modified training. Overall, the training program did have a significant impact on the pilots' behavior and response to TCAS advisories. The measure Time Pilots First Achieved Compliance decreased with the trained pilots, as did the measure Autopilot Disconnect Time After RA Initiation. Trained pilots exhibited less aggressive performance in response to a TCAS RA (including a decrease in the measures Altitude Deviation Over Duration Of RA, Average Vertical Rate Difference, Maximum Vertical Rate Difference, and Maximum Vertical Rate). The measure Percent Compliance did not significantly vary between trained and baseline pilots, although trained pilots had a more consistent response in the traffic event with conflicting ATC guidance. Finally, on the post-experiment questionnaires, pilots commented on their increase in understanding of TCAS as well as an increase in their trust in the advisory system. Results of this research inform TCAS training objectives provided by the FAA as well as the design of TCAS training. Additionally, conclusions extend more broadly to improved training techniques for other similar complex, time-critical situations.
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Sampath, Krishna S. "Performance of traffic-alert collision avoidance (TCAS) antennas in the presence of scatterers /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487844105975347.

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Fitch, Gregory M. "Driver Comprehension of Integrated Collision Avoidance System Alerts Presented through a Haptic Driver Seat." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/26281.

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Active safety systems that warn automobile drivers of various types of impending collisions have been developed. How these systems alert drivers when integrated, however, is a crucial component to their effectiveness that hinges on the consideration of human factors. Driversâ ability to comprehend multiple alerts presented through a haptic driver seat was investigated in this dissertation. Twenty-four participants, balanced for age and gender, drove an instrumented vehicle on a test-track while haptic alerts (vibrations in the driver seat) were generated. Driversâ ability to transmit the information conveyed by the alerts was investigated through two experiments. The first experiment investigated the effects of increasing the number of potential alerts on driversâ response performance. The second experiment investigated whether presenting haptic alerts through unique versus common locations in the driver seat affects driversâ response performance. Younger drivers (between the ages of 18 and 25 years old) were found to efficiently process the increased information contained in the alerts, while older drivers were not as efficient. However, it is foreseeable that older driver performance decrements may be assuaged when a crash context is provided. A third experiment evaluated the haptic driver seatâ s ability to alert distracted drivers to an actual crash threat. Drivers that received a haptic seat alert returned their gaze to the forward roadway sooner, removed their foot from the throttle sooner, pressed the brake pedal sooner, and stopped farther away from an inflatable barricade than drivers that did not receive a haptic seat alert. No age or gender effects were found in this experiment. Furthermore, half of the drivers that received the haptic seat alert lifted up on the throttle before returning their eyes to the forward roadway. This suggests these drivers developed an automatic response to the haptic seat alerts through their experience with the previous two experiments. A three-alert haptic seat approach, the intermediate alternative tested, is recommended providing specific design requirements are met.
Ph. D.
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Graziano, Timothy Michael. "Establishment of a Cyber-Physical Systems (CPS) Test Bed to Explore Traffic Collision Avoidance System (TCAS) Vulnerabilities to Cyber Attacks." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/104624.

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Traffic Collision Avoidance Systems (TCAS) are safety-critical, unauthenticated, ranging systems required in commercial aircraft. Previous work has proposed TCAS vulnerabilities to attacks from malicious actors with low cost software defined radios (SDR) and inexpensive open-source software (GNU radio) where spoofing TCAS radio signals in now possible. This paper outlines a proposed threat model for several TCAS vulnerabilities from an adversarial perspective. Periodic and aperiodic attack models are explored as possible low latency solutions to spoof TCAS range estimation. A TCAS test bed is established with commercial avionics to demonstrate the efficacy of proposed vulnerabilities. SDRs and Vector Waveform Generators (VWGs) are used to achieve desired latency. Sensor inputs to the TCAS system are spoofed with micro-controllers. These include Radar Altimeter, Barometric Altimeter, and Air Data Computer (ADC) heading and attitude information transmitted by Aeronautical Radio INC (ARINC) 429 encoding protocol. TCAS spoofing is attempted against the test bed and analysis conducted on the timing results and test bed performance indicators. The threat model is analyzed qualitatively and quantitatively.
Master of Science
Traffic Collision Avoidance Systems (TCAS), or Airborne Collision Avoidance Systems ACAS), are safety-critical systems required by the Federal Aviation Administration (FAA) in commercial aircraft. They work by sending queries to surrounding aircraft in the form of radio transmission. Aircraft in the who receive these transmissions send replies. Information in these replies allow the TCAS system to determine if a nearby aircraft may travel too close to itself. TCAS can then determine help both pilots avoid a mid-air collision. Information in the messages can be faked by a malicious actor. To explore these vulnerabilities a test bed is built with commercial grade TCAS equipment. Several types of attacks are evaluated.
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Kim, Yong-Seok. "Effects of Driver, Vehicle, and Environment Characteristics on Collision Warning System Design." Thesis, Linköping University, Department of Science and Technology, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1121.

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The purpose of the present study was to examine effects of driver, vehicle, and environment characteristics on Collision Warning System (CWS) design. One hypothesis was made that the capability of collision avoidance would not be same among a driver, vehicle, and environment group with different characteristics. Accident analysis and quantitative analysis was used to examine this hypothesis in terms of ‘risk’ and ‘safety margin’ respectively. Rear-end collision had a stronger focus in the present study.

As a result of accident analysis, heavy truck showed a higher susceptibility of the fatal rear-end accidents than car and light truck. Also, dry road surface compared to wet or snow, dark condition compared to daylight condition, straight road compared to curved road, level road compared to grade, crest or sag, roadway having more than 5 travel lanes compared to roadway having 2, 3 or 4 travel lanes showed a higher susceptibility of the fatal rear-end accidents. Relative rear-end accidents involvement proportion compared to the other types of collision was used as a measure of susceptibility.

As a result of quantitative analysis, a significant difference in terms of Required Minimum Warning Distance (RMWD) was made among a different vehicle type and braking system group. However, relatively small difference was made among a different age, gender group in terms of RMWD. Based on the result, breaking performance of vehicle should be regarded as an input variable in the design of CWS, specifically warning timing criteria, was concluded.

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Chia-WenYu and 余佳雯. "Traffic Alert and Collision Avoidance System for Military Aircraft using ADS-R." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/50300825431841529449.

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碩士
國立成功大學
航空太空工程學系碩士在職專班
104
Civil aircraft, especially general aviation, operating in the same airspace as military aircraft, have been brought in safety concerns for many years. Collision avoidance technology should be applied into wider varieties of aircraft including military aircraft, general aviation (GA) and unmanned aerial vehicle (UAV). The existing surface radar technology often has limi-tations by its speed and coverage. Since Automatic Dependent Surveil-lance-Broadcast (ADS-B) provides better surveillance in fringe areas of radar coverage, it also does not have the siting limitations of radar. ADS-B could replace radar as the primary surveillance method for controlling aircraft worldwide. A wider concept of ADS-B application into collision avoidance system for all aircraft is proposed in this thesis. Integrating the concept of Automatic Dependent Surveillance- Rebroadcast (ADS-R) and Traffic Alert and Collision System (TCAS) into military aircraft for active collision avoidance. The Air Traffic Control (ATC) will collect the data from UAV, UAT and commercial airline before reporting to the military aircraft. Because military aircraft have high confidentiality, they do receive data from ATC but no replies. Under the Visual flight rules (VFR), mili-tary aircraft with higher maneuverability gets lower priority. So, military aircraft should perform active avoidance to give way to all kind of aircraft. For avoiding the collision, the research focus on some restrictions of mili-tary aircraft maneuverability and the algorithm for resolution path. The purpose of the research is creating a high-quality and changing the con-ventional system for both military aircraft and civil aircraft. This feature may be helpful and useful for military aircraft.
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Yi-YuWu and 吳怡諭. "Traffic Collision Avoidance System for Ultra Light Aircrafts." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/60244246108154589331.

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碩士
國立成功大學
民航研究所
98
After 911, the small aircraft transportation system (SATS) was launched to increase air transport capacity and reduce major airport traffic loads. Flight activities of small general aviation (GA) aircraft as well as sport ultra light aircraft (ULA) have become a serious concern to low altitude flights below 5,000 feet. Consequently, viable solution of collision avoidance for small aircrafts has an urgent demand by reconstructing the similar confliction avoidance logic for use. This thesis involves a survey of TCAS for small aircrafts in low altitude. The proposed method which had discourse a lot of technologies, comprises of detection and resolution for collision avoidance. On the flight characteristics, some other relative concepts such as visual flight rule and the flight priority are combined into the logic chart. Based on ADS-B concept under VFR, TCAS operation can be built on the ground surveillance computer as well as on the airborne electronic flight instrument system (EFIS). Aircraft conflict will be detected from the ADS information. This thesis is focused on the study of conflict detection and resolution by jointly considering ULA characteristic, especially the flight path diversity. Several feasible scenarios from real flight data are tested in simulations to look into the TCAS performance on the ground computer and the airborne EFIS. The results had confirmed the feasible and reliable development of TCAS for small aircrafts in low altitude flights.
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Chiang, Shu-chuan, and 江淑娟. "Traffic Collision Avoidance System for Ultra Light Aircrafts." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/83251846507946924164.

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碩士
國立成功大學
民航研究所
96
Within this recent decade, Ultralight Aircraft (ULA) activities have been devoted with vigorous development. However, Civil Aviation Regulations can not catch up with ULA demands that many mid-air activities still have great safety latency. This thesis adopts Automatic Dependent Surveillance (ADS) conception to construct Traffic Collision Avoidance System (TCAS) for ULAs. Utilizing report and surveillance techniques, Air Traffic Controller (ATC) ground station surveillances all of the flight airspace. When ATC discovers unusual situation and appropriately reminds pilot to reconcile the conflict. Besides, through reporting each aircraft’s position and velocity, pilot can understand nearby environment condition on the Electronic Flight Instrument System (EFIS). In such support, TCAS system can predict aircrafts whether approach with each other in the future and construct the protection bubble around the ownership to build the line of defense.
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Mukhopadhyay, Mousumi. "Lane departure avoidance system." 2011. http://hdl.handle.net/1805/2628.

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Indiana University-Purdue University Indianapolis (IUPUI)
Traffic accidents cause millions of injuries and tens of thousands of fatalities per year worldwide. This thesis briefly reviews different types of active safety systems designed to reduce the number of accidents. Focusing on lane departure, a leading cause of crashes involving fatalities, we examine a lane-keeping system proposed by Minoiu Enache et al.They proposed a switched linear feedback (LMI) controller and provided two switching laws, which limit driver torque and displacement of the front wheels from the center of the lane. In this thesis, a state feedback (LQR) controller has been designed. Also, a new switching logic has been proposed which is based on driver's torque, lateral offset of the vehicle from the center of the lane and relative yaw angle. The controller activates assistance torque when the driver is deemed inattentive. It is deactivated when the driver regains control. Matlab/Simulink modeling and simulation environment is used to verify the results of the controller. In comparison to the earlier switching strategies, the maximum values of the state variables lie very close to the set of bounds for normal driving zone. Also, analysis of the controller’s root locus shows an improvement in the damping factor, implying better system response.
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Books on the topic "Traffic Alert/Collision Avoidance System"

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Tuttell, Robert Joseph. Human factors aspects of the Traffic Alert and Collision Avoidance System (TCAS II). Monterey, California: Naval Postgraduate School, 1988.

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United States. Congress. House. Committee on Science and Technology. The traffic alert and collision avoidance system: A technological contribution to air safety : report. Washington: U.S. G.P.O., 1986.

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Oversight, United States Congress House Committee on Public Works and Transportation Subcommittee on Investigations and. To review the status of the airborne traffic alert and collision avoidance system (TCAS): Hearing before the Subcommittee on Investigations and Oversight of the Committee on Public Works and Transportation, House of Representatives, One Hundred Second Congress, first session, October 8, 1991. Washington: U.S. G.P.O., 1992.

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United States. Congress. House. Committee on Transportation and Infrastructure. Subcommittee on Aviation. Proposal to require traffic alert and collision avoidance systems on cargo aircraft: Hearing before the Subcommittee on Aviation of the Committee on Transportation and Infrastructure, House of Representatives, One Hundred Fifth Congress, first session, February 26, 1997. Washington: U.S. G.P.O., 1997.

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Lebron, John E. System safety study of minimum TCAS II for instrument weather conditions. Washington, D.C: Federal Aviation Administration, Program Engineering & Maintenance Service, 1985.

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Office, General Accounting. Aviation safety: Serious problems concerning the air traffic control work force : report to the Secretary of Transportation. Washington, D.C: The Office, 1986.

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Office, General Accounting. Aviation safety: FAA's new inspection system offers promise, but problems need to be addressed : report to the Subcommittee on Aviation, Committee on Transportation and Infrastructure, House of Representatives. Washington, D.C. (P.O. Box 37050, Washington, 20013): U.S. General Accounting Office, 1999.

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United States. Congress. House. Committee on Public Works and Transportation. Subcommittee on Aviation. Collision avoidance system equipment and compliance deadlines: Hearing before the Subcommittee on Aviation of the Committee on Public Works and Transportation, House of Representatives, One Hundred First Congress, first session, May 4, 1989. Washington: U.S. G.P.O., 1989.

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Office, General Accounting. Aviation safety: FAA needs to update the curriculum and certification requirements for aviation mechanics : report to the ranking Democratic member, Committee on Transportation and Infrastructure, House of Representatives. Washington, D.C: United States General Accounting Office, 2003.

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Office, General Accounting. Aviation safety: Advancements being pursued to improve airliner cabin occupant safety and health : report to the ranking democratic member, Committee on Transportation and Infrastructure, House of Representatives. Washington, D.C. (P.O. Box 37050 Washington 20013): U.S. General Accounting Office, 2003.

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Book chapters on the topic "Traffic Alert/Collision Avoidance System"

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Meyer, Jörg, Matthias Göttken, Christoph Vernaleken, and Simon Schärer. "Automatic Traffic Alert and Collision Avoidance System (TCAS) Onboard UAS." In Handbook of Unmanned Aerial Vehicles, 1857–71. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_67.

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Diederichs, Frederik, Nina Brouwer, Horst Klöden, Peter Zahn, and Bernhard Schmitz. "Application of a Driver Intention Recognition Algorithm on a Pedestrian Intention Recognition and Collision Avoidance System." In UR:BAN Human Factors in Traffic, 267–84. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-15418-9_14.

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"Traffic alert and collision avoidance system." In Aircraft Communications and Navigation Systems, 285. Routledge, 2013. http://dx.doi.org/10.4324/9780080941523-133.

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Craigen, Dan, Susan Gerhart, and Ted Ralston. "Traffic Alert and Collision Avoidance System (TCAS)." In Industrial Applications of Formal Methods to Model, Design and Analyze Computer Systems, 229–41. Elsevier, 1995. http://dx.doi.org/10.1016/b978-0-8155-1362-9.50024-x.

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Henely, Steve. "Traffic Alert and Collision Avoidance System II (TCASII)." In Digital Avionics Handbook, 354–62. CRC Press, 2017. http://dx.doi.org/10.1201/b17545-22.

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Postaire, J. G., P. Stelmaszyk, P. Bonnet, and J. P. Deparis. "A VISUAL SURVEILLANCE SYSTEM FOR TRAFFIC COLLISION AVOIDANCE CONTROL." In Control in Transportation Systems 1986, 303–8. Elsevier, 1987. http://dx.doi.org/10.1016/b978-0-08-033438-7.50053-7.

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Duraipandy, Jeyabharathi, Kesavaraja D., and Sasireka Duraipandy. "Automatic Animal Detection and Collision Avoidance System (ADCAS) Using Thermal Camera." In Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security, 75–88. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3299-7.ch005.

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Animal-vehicle collision is one of the big issues in roadways near forests. Due to road accidents, the injuries and death of wildlife has increased tremendously. This type of collision is occurring mainly during nighttime because the animals are more activate. So, to avoid this type of accident, the chapter automatically detects animals on highways, preventing animal-vehicle collision by finding the distance between vehicles and animals in the roadway. If the distance between animals and vehicle is short, then automatic horn sound is given, which will alert both drivers as well as animals.
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Khare, Neelu, and Shruthy Bhavanasi. "Smart Traffic System Operations." In Advances in Civil and Industrial Engineering, 171–90. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6207-8.ch008.

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Traffic congestion is a growing problem in the world. It causes waste of time and fuel, increases pollution and stress. This is especially of road traffic in India, which faces problems like congestion, unpredictable travel time, urban chaos and noise. A smart traffic system automates the traffic control activity in order to obtain preference for the lanes on the basis of certain parameters. Hence, it provides an automatic control on the traffic in an optimized manner. It takes inputs from various sensors (utilising ultrasonic sensors, light sensors, motion sensors, cameras and IoT devices) and sends interrupt signals to the controlling devices. It consists of the IoT (Internet of Things) coupled with smartphone technology, RFID, sensors and a LADAR system. The system deals with the major issues of traffic congestion and collision avoidance and suggests remedies to tackle the same. In this chapter, various methodologies and architectures for smart traffic system operations are described.
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"Air Traffic Monitoring Using ADS-B System." In Recent Advances in Satellite Aeronautical Communications Modeling, 271–304. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8214-4.ch006.

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This chapter describes the system created for ADS-B messages receiving. For this an antenna, ADS-B signals receiver, a decoder was made and software was installed. This system was allocated at the Department of Air Navigation Systems in the National Aviation University and was used for students training and investigations. Original software for modeling of real-time TCAS operation was developed using MATLAB. The experimental model with data exchange between onboard systems via Wi-Fi network was created. This model was used for modeling of aircraft approaching. Such model can be used as a base for creation a collision avoidance system of RPAS.
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Conference papers on the topic "Traffic Alert/Collision Avoidance System"

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Puntin, Brendon, and Mykel Kochenderfer. "Traffic Alert Optimization for Airborne Collision Avoidance Systems." In AIAA Guidance, Navigation, and Control (GNC) Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-4623.

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Gambarani, Gary P. "Traffic Alert and Collision Avoidance System (TCAS II) Transition Program." In Aerospace Technology Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1990. http://dx.doi.org/10.4271/901970.

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Yuan Wenduo and Song Dong. "Modeling and simulation of Traffic Alert and Collision Avoidance System." In 2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2009. http://dx.doi.org/10.1109/iciea.2009.5138680.

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NIVERT, LAWRENCE, JOSEPH WALSH, and JOHN WOJCIECH. "Development of the Traffic Alert and Collision Avoidance System III (TCAS III)." In Digital Avionics Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-4002.

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Tillotson, Dan. "Operational Findings from a Traffic Alert and Collision Avoidance System (TCAS) Evaluation." In Aerospace Vehicle Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1988. http://dx.doi.org/10.4271/880943.

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Zeitlin, Andrew, Thierry Arino, and James Kuchar. "Improving the Resolution Advisory Reversal Logic of the Traffic Alert and Collision Avoidance System." In 2006 ieee/aiaa 25TH Digital Avionics Systems Conference. IEEE, 2006. http://dx.doi.org/10.1109/dasc.2006.313680.

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TILLOTSON, DANIEL. "Results of the in-service evaluation of the traffic alert and collision avoidance system industry prototype." In Digital Avionics Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-3915.

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Mohamed, Mostafa Samy Abdelsadek, and A. M. M. A. Allam. "Design and Implementation of a Directional Antenna for a Traffic Alert and Collision Avoidance System (TCAS)." In 2018 18th Mediterranean Microwave Symposium (MMS). IEEE, 2018. http://dx.doi.org/10.1109/mms.2018.8611857.

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Portilla, Eric, Alex Fung, Won-Zon Chen, Omid Shakernia, and Tom Molnar. "Sense And Avoid (SAA) & Traffic Alert and Collision Avoidance System (TCAS) Integration for Unmanned Aerial Systems (UAS)." In AIAA Infotech@Aerospace 2007 Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-3004.

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Romli, Fairuz, Joshua King, Leihong Li, and John-Paul Clarke. "Impact of Automatic Dependent Surveillance-Broadcast (ADS-B)on Traffic Alert and Collision Avoidance System (TCAS) Performance." In AIAA Guidance, Navigation and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-6971.

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