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Journal articles on the topic 'Automatic vehicle location'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

McKay, K. M. "Integrated automatic vehicle location systems." IEEE Aerospace and Electronic Systems Magazine 12, no. 3 (1997): 18–22. http://dx.doi.org/10.1109/62.579204.

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2

Taylor, S. "Developing automatic vehicle location systems." Computing and Control Engineering 14, no. 1 (2003): 20–25. http://dx.doi.org/10.1049/cce:20030104.

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3

Bergan, A. T., Loyd Henion, Milan Krukar, and Brani Taylor. "Electronic licence plate technology: automatic vehicle location and identification." Canadian Journal of Civil Engineering 15, no. 6 (1988): 1035–42. http://dx.doi.org/10.1139/l88-136.

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The purpose of this paper is to discuss the current level of technology in automatic vehicle identification (AVI). The technology is often referred to as electronic licence plate technology, due to the use of unique vehicle identity transponders (electronic licence plates) affixed to particular highway vehicles. Interrogator or roadside receiver units placed at strategic locations or nodes on a highway network can locate and identify the particular vehicle.The main thrust of the paper is on the different types of AVI systems and the technologies employed. The discussion includes the widespread

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4

Han-Lee Song. "Automatic vehicle location in cellular communications systems." IEEE Transactions on Vehicular Technology 43, no. 4 (1994): 902–8. http://dx.doi.org/10.1109/25.330153.

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5

Watje, John M., Denis Symes, and Robert S. Ow. "VEHICLE LOCATION TECHNOLOGIES IN AUTOMATIC VEHICLE MONITORING AND MANAGEMENT SYSTEMS." I V H S Journal 1, no. 3 (1994): 295–303. http://dx.doi.org/10.1080/10248079408903800.

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6

Arthanareeswaran, Jeyashree, Bavithra Karunanidhi, Sowmiya Muruganantham, Archana Dhamodharan, and Subash Kumar Chellappan Swarnamma. "Automatic Vehicle Accident Indication and Reporting System for Road Ways Using Internet of Things." International Journal of Safety and Security Engineering 11, no. 3 (2021): 269–77. http://dx.doi.org/10.18280/ijsse.110307.

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In India, transport becomes a basic commodity of daily life. As transportation starts increasing, safety has become a major concern for consumers. This paper mainly aims at reducing the fatalities caused due to accidents occurring in roadways. In general, many lives could be saved if emergency service could get accurate accident location and rescue the injured people at the minimum possible time. The Internet of Things has revlontinsed the modern world in recent times. As Global Positioning System has become an integral part of any vehicle system, this effective method is utilized to monitor t

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7

Prof. Madhuri Zambre. "Automatic Vehicle Over speed Controlling System using Microcontroller Unit and ARCAD." International Journal of New Practices in Management and Engineering 5, no. 04 (2016): 01–05. http://dx.doi.org/10.17762/ijnpme.v5i04.47.

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The main purpose of this paper is to develop a system that avoid accidents because of vehicles with high speed. Also, authorizes the pedestrians and public to cross the highway road with no risk from vehicles which are moving with high speed. Generally, drivers of the vehicles with high speed drives in an uncontrollable manner even in speed limited areas without taking into consideration about the public. Even traffic policemen could not able to control them and attain good response from the high speed vehicle drivers. Also, we cannot monitor them to limit their speed at all times in those are

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8

Ma, Zhenliang, Luis Ferreira, and Mahmoud Mesbah. "Measuring Service Reliability Using Automatic Vehicle Location Data." Mathematical Problems in Engineering 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/468563.

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Bus service reliability has become a major concern for both operators and passengers. Buffer time measures are believed to be appropriate to approximate passengers' experienced reliability in the context of departure planning. Two issues with regard to buffer time estimation are addressed, namely, performance disaggregation and capturing passengers’ perspectives on reliability. A Gaussian mixture models based method is applied to disaggregate the performance data. Based on the mixture models distribution, a reliability buffer time (RBT) measure is proposed from passengers’ perspective. A set o

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9

Mladenov, D., T. Stoilov, V. Petkov, K. Stoilova, G. Sheitanov, and G. Todorov. "An Automatic Vehicle Location System-Problems and Application." IFAC Proceedings Volumes 21, no. 19 (1988): 315–18. http://dx.doi.org/10.1016/s1474-6670(17)54512-7.

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10

Barabino, Benedetto, Massimo Di Francesco, and Sara Mozzoni. "Regularity diagnosis by Automatic Vehicle Location raw data." Public Transport 4, no. 3 (2012): 187–208. http://dx.doi.org/10.1007/s12469-012-0059-z.

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11

Elango, Chandrasekar, and Daniel J. Dailey. "Irregularly Sampled Transit Vehicles Used as Traffic Sensors." Transportation Research Record: Journal of the Transportation Research Board 1719, no. 1 (2000): 33–44. http://dx.doi.org/10.3141/1719-05.

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Performance monitoring is an issue of growing concern both nationally and in the state of Washington. Travel times and speeds always have been of interest to traveler information researchers, but there is limited infrastructure with which to collect such data on a continuous basis. Transit vehicles were used as probes, and a framework was developed for modeling the time series that arise from irregularly sampled transit vehicle locations. These samples of vehicle location were obtained from the King County Department of Metropolitan Services automatic vehicle location system. An optimal filter

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12

Lin, Feng, Jin Yan, Zhen Zhou Ye, Yi Jin Song, and Hong Yan Chen. "The Design and Implementation of the Terminal in a Vehicle Exhaust Real Time Detecting System." Advanced Materials Research 605-607 (December 2012): 1012–15. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.1012.

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This research proposed a real time exhaust measuring system and realized automatic acquisition of exhaust data. In this research, VMT (Vehicle Mounted Terminal) which is integrated with GPRS module, GPS module,exhaust detection unit and microcontroller unit, collected the concentration of CO2, CO and HC and the vehicle location which were then sent to MC (Monitoring Center) via GSM/GPRS net. In this way, both exhaust transient data under daily running and vehicle location are available to environment protection department, which provided a new method to rid high emitting vehicles in urban area

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13

Roosevelt, Daniel S., Robert A. Hanson, and William M. Campenni. "Automatic Vehicle Location System in Urban Winter Maintenance Operations." Transportation Research Record: Journal of the Transportation Research Board 1741, no. 1 (2001): 6–10. http://dx.doi.org/10.3141/1741-02.

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14

Aloquili, O., A. Elbanna, and A. Al-Azizi. "Automatic vehicle location tracking system based on GIS environment." IET Software 3, no. 4 (2009): 255. http://dx.doi.org/10.1049/iet-sen.2008.0048.

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15

Papadoglou, N., and E. Stipidis. "Short message service link for automatic vehicle location reporting." Electronics Letters 35, no. 11 (1999): 876. http://dx.doi.org/10.1049/el:19990600.

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16

Yang, Fengping, Liqun Peng, Chenhao Wang, and Yuelong Bai. "Measuring temporal and spatial travel efficiency for transit route system using low-frequency bus automatic vehicle location data." Advances in Mechanical Engineering 10, no. 10 (2018): 168781401880212. http://dx.doi.org/10.1177/1687814018802128.

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Although the bus probe data have been widely adopted for examining the transit route efficiency, this application cannot guarantee the accuracy in special temporal and spatial segments due to the inadequate probe samples. This study evaluates the feasibility of automatic vehicle location data as probes for the bus route travel time evaluation. Our techniques explore the minimum requirement of transit automatic vehicle location data to recover the bus trajectories in various spatial–temporal dimensions along the scheduled transit routes. First, a three-dimensional tensor is established to infer

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17

Robinson, Stephen P. "Determining London Bus Stop Locations by Means of an Automatic Vehicle Location System." Transportation Research Record: Journal of the Transportation Research Board 2064, no. 1 (2008): 24–32. http://dx.doi.org/10.3141/2064-05.

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18

Robinson, Steve, and Mauro Manela. "Automatic Identification of Vehicles with Faulty Automatic Vehicle Location and Control Units in London Buses' iBus System." Transportation Research Record: Journal of the Transportation Research Board 2277, no. 1 (2012): 21–28. http://dx.doi.org/10.3141/2277-03.

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19

Peng, Zhong-Ren, Danlin Yu, and Edward Beimborn. "Transit User Perceptions of the Benefits of Automatic Vehicle Location." Transportation Research Record: Journal of the Transportation Research Board 1791, no. 1 (2002): 127–33. http://dx.doi.org/10.3141/1791-19.

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An attitudinal survey on transit riders’ perception of the importance transit users place on features of an automatic vehicle location (AVL) system is reported. Onboard surveys and on-time field checks were conducted in the cities of Manitowoc and Racine, Wisconsin, to determine how users in those cities perceive their transit systems and how well each transit system performs. The surveys indicate that transit riders put a great value on increased on-time performance and improved schedule reliability. Passengers value features that AVL technology could bring, such as improving on-time performa

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20

Stoilov, T. A., and K. P. Stoilova. "Optimal Processing of Automatic Location Vehicle System-An Hierarchical Approach." IFAC Proceedings Volumes 21, no. 19 (1988): 319–24. http://dx.doi.org/10.1016/s1474-6670(17)54513-9.

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21

Yan, Yadan, Zhiyuan Liu, and Yiming Bie. "Performance Evaluation of Bus Routes Using Automatic Vehicle Location Data." Journal of Transportation Engineering 142, no. 8 (2016): 04016029. http://dx.doi.org/10.1061/(asce)te.1943-5436.0000857.

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22

Gilmore, Stephen, and Daniël Reijsbergen. "Validation of Automatic Vehicle Location Data in Public Transport Systems." Electronic Notes in Theoretical Computer Science 318 (November 2015): 31–51. http://dx.doi.org/10.1016/j.entcs.2015.10.018.

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23

Wu, Jianqing, Hao Xu, Yichen Zheng, Yongsheng Zhang, Bin Lv, and Zong Tian. "Automatic Vehicle Classification using Roadside LiDAR Data." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 6 (2019): 153–64. http://dx.doi.org/10.1177/0361198119843857.

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This research presented a new approach for vehicle classification using roadside LiDAR sensor. Six features (one feature, object height profile, contains 10 sub-features) extracted from the vehicle trajectories were applied to distinguish different classes of vehicles. The vehicle classification aims to assign the objects into ten different types defined by FHWA. A database containing 1,056 manually marked samples and their corresponding pictures was provided for analysis. Those samples were collected at different scenarios (roads and intersections, different speed limits, day and night, diffe

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24

Billittier IV, MD, Anthony J., E. Brooke Lerner, PhD, Alan Blatt, MS, and Michael Viksjo, MD. "Use of an automatic crash notification system to relate dynamic vehicle data with occupant injuries." Journal of Emergency Management 3, no. 6 (2005): 36. http://dx.doi.org/10.5055/jem.2005.0063.

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The objective of this study was to describe our initial experience with an automatic crash notification device (ACND) and to compare dynamic vehicle data acquired by the ACND in motor vehicle crashes (MVCs) for occupants with and without cervical strain injuries. Eight hundred and seventy-four cars were equipped with an ACND, which detected crashes by analyzing vehicular acceleration in real time. The device placed an automated call to 9-1-1 whenever the pre-established crash threshold was exceeded and transmitted crash location, principal direction of crash force, and crash change in velocity

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25

Goud, Varsha. "Vehicle Accident Automatic Detection and Remote Alarm Device." International Journal of Reconfigurable and Embedded Systems (IJRES) 1, no. 2 (2012): 49. http://dx.doi.org/10.11591/ijres.v1.i2.pp49-54.

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<p>The Rapid growth of technology and infrastructure has made our lives more easy . The advent of technology has also increased the traffic hazards and the road accident take place frequently which causes huge loss of life and property because of the poor emergency facilities. Our project will provide an optimum solution to this draw back. An accelerometer can be used in a car alarm application so that dangerous driving can be detected . It can be used as a crash or rollover detector of the vehicle during and after a crash. With signals from an accelerometer, a severe accident can be rec

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26

Hounsell, Nick, and Fraser McLeod. "Automatic Vehicle Location: Implementation, Application, and Benefits in the United Kingdom." Transportation Research Record: Journal of the Transportation Research Board 1618, no. 1 (1998): 155–62. http://dx.doi.org/10.3141/1618-19.

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Automatic vehicle location (AVL) is playing an increasingly important role in public transport operations in the United Kingdom, providing support for real-time management and control of bus fleets and the platform for other beneficial functions including passenger information systems and bus priority. The current and emerging use of AVL in the United Kingdom for public transport is considered in this paper, focusing in particular on developments in London and Southampton where substantial use is being made of AVL. Following a summary description of AVL systems and technologies, examples are p

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27

Lee, Rong Choi, King Chu Hung, and Huan Sheng Wang. "A Automatic Vehicle License Plate Location Based on Sobel Edge Method." Applied Mechanics and Materials 479-480 (December 2013): 911–15. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.911.

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This thesis is to approach license-plate location using Sobel mask operator for license-plate location. This thesis consists of three main parts. The first part is to gray and HSI transform and cut image to reduce image scan time. The second part is to use Sobel edge function and use scan line scanning image to find license-plate. The third part is to locate and extract the license-plate. The last step is license plate and through 2D Haar Discrete Wavelet Transform two times, after transform only selected LL low-frequency parts and will the data arrange into a row when license plate the featur

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28

Harsha, M. M., Raviraj H. Mulangi, and H. D. Dinesh Kumar. "Analysis of Bus Travel Time Variability using Automatic Vehicle Location Data." Transportation Research Procedia 48 (2020): 3283–98. http://dx.doi.org/10.1016/j.trpro.2020.08.123.

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29

Almadani, Basem, Shehryar Khan, Tarek R. Sheltami, Elhadi M. Shakshuki, Muhammad Musaddiq, and Bilal Saeed. "Automatic Vehicle Location and Monitoring System based on Data Distribution Service." Procedia Computer Science 37 (2014): 127–34. http://dx.doi.org/10.1016/j.procs.2014.08.021.

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30

Al-Bayari, Omar, and Balqies Sadoun. "New centralized automatic vehicle location communications software system under GIS environment." International Journal of Communication Systems 18, no. 9 (2005): 833–46. http://dx.doi.org/10.1002/dac.734.

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31

Li, Rui, Xin Xue, and Hua Wang. "Characteristics Analysis of Bus Stop Failure Using Automatic Vehicle Location Data." Journal of Advanced Transportation 2020 (July 1, 2020): 1–16. http://dx.doi.org/10.1155/2020/8863262.

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Queue forming behind a bus stop on an urban street is common and a traffic bottleneck usually occurs around the bus stop area. The bus stop failure means arriving buses cannot move into the bus stop due to limited capacity but have to wait for available loading areas. It is related with the transit operation level. Traditionally, the failure rate (FR), defined as the percentage of buses that arrives at the bus stop to find all loading areas occupied, is adopted in bus capacity analysis. However, the concept of FR is unable to quantitatively analyze failure characteristics in terms of its dispe

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32

Chen, Mei, Xiaobo Liu, and Jingxin Xia. "Dynamic Prediction Method with Schedule Recovery Impact for Bus Arrival Time." Transportation Research Record: Journal of the Transportation Research Board 1923, no. 1 (2005): 208–17. http://dx.doi.org/10.1177/0361198105192300122.

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This study develops a dynamic bus arrival time prediction model using the data collected by the automatic vehicle location and automatic passenger counter systems. It is based on the Kalman filter algorithm with a two-dimensional state variable in which the prediction error in the most recent observation is used to optimize the arrival time estimate for each downstream stop. The impact of schedule recovery is considered as a control factor in the model to reflect the driver's schedule recovery behavior. The algorithm performs well when tested with a set of automatic vehicle location–automatic

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33

Vogel, Dietmar, and Stefan Harrer. "DGPS Emergency Location System for Vehicles." Journal of Navigation 47, no. 3 (1994): 349–60. http://dx.doi.org/10.1017/s0373463300012297.

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Even today much time is lost in bringing effective help when an accident with a truck carrying dangerous goods occurs. The location of the accident is often not well described by the people reporting it. Often it is difficult to determine what sort of freight a lorry is carrying, for example when the vehicle is burning, and sometimes the fire brigade does not bring the appropriate extinguishing equipment for the first help approach. Now an emergency location system is under development which will remove all these disadvantages. For immediate help on car accidents, an automatic alert message is

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34

Chen, Chun Yu, Bao Zhi Cheng, Xin Chen, Fu Cheng Wang, and Chen Zhang. "Application of Image Processing to the Vehicle License Plate Recognition." Advanced Materials Research 760-762 (September 2013): 1638–41. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1638.

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At present, the traffic engineering and automation have developed, and the vehicle license plate recognition technology need get a corresponding improvement also. In case of identifying a car license picture, the principle of automatic license plate recognition is illustrated in this paper, and the processing is described in detail which includes the pre-processing, the edge extraction, the license plate location, the character segmentation, the character recognition. The program implementing recognition is edited by Matlab. The example result shows that the recognition method is feasible, and

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35

Shirani, Alireza, and Mohammadreza Sehhati. "Design and implementation of a customable automatic vehicle location system in ambulances and emergency vehicle systems." Journal of Medical Signals & Sensors 9, no. 3 (2019): 165. http://dx.doi.org/10.4103/jmss.jmss_41_18.

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36

Khattak, Asad, and Mark Hickman. "Automatic Vehicle Location and Computer-Aided Dispatch Systems: Design and Application Considerations." Journal of Public Transportation 2, no. 1 (1998): 1–26. http://dx.doi.org/10.5038/2375-0901.2.1.1.

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37

Cathey, F. W., and D. J. Dailey. "A prescription for transit arrival/departure prediction using automatic vehicle location data." Transportation Research Part C: Emerging Technologies 11, no. 3-4 (2003): 241–64. http://dx.doi.org/10.1016/s0968-090x(03)00023-8.

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38

Abd-allah, Mona Hussein Mohamed. "Potential for using automatic vehicle location in the Cairo public transport system." Proceedings of the Institution of Civil Engineers - Transport 166, no. 6 (2013): 336–43. http://dx.doi.org/10.1680/tran.10.00066.

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39

Barabino, Benedetto, Massimo Di Francesco, and Sara Mozzoni. "Rethinking bus punctuality by integrating Automatic Vehicle Location data and passenger patterns." Transportation Research Part A: Policy and Practice 75 (May 2015): 84–95. http://dx.doi.org/10.1016/j.tra.2015.03.012.

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40

Horbury, Antoneta X. "Using non-real-time Automatic Vehicle Location data to improve bus services." Transportation Research Part B: Methodological 33, no. 8 (1999): 559–79. http://dx.doi.org/10.1016/s0191-2615(99)00006-5.

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41

Hall, Randolph W. "Passenger waiting time and information acquisition using automatic vehicle location for verification." Transportation Planning and Technology 24, no. 3 (2001): 249–69. http://dx.doi.org/10.1080/03081060108717670.

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42

Lobo†, Antoneta X. "A review of automatic vehicle location technology and its real‐time applications." Transport Reviews 18, no. 2 (1998): 165–91. http://dx.doi.org/10.1080/01441649808717009.

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43

D’Acierno, Luca, Armando Cartenì, and Bruno Montella. "Estimation of urban traffic conditions using an Automatic Vehicle Location (AVL) System." European Journal of Operational Research 196, no. 2 (2009): 719–36. http://dx.doi.org/10.1016/j.ejor.2007.12.053.

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44

Wang, Lei, Xiao Long Lu, and Zhi Hua Cao. "The Design of Simultaneous Location and Mapping System for Intelligent Vehicle in Indoor Environment." Applied Mechanics and Materials 302 (February 2013): 729–34. http://dx.doi.org/10.4028/www.scientific.net/amm.302.729.

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A design of simultaneous location and mapping system for intelligent vehicles was proposed. The paper put forward a new algorithm digitalizing motion state which can achieve the automatic navigation and location of the vehicle. Convert the coordinate systems of distance-detecting module with ultrasonic sensors and odometer positioning module to the global coordinate system so as to determine the robot’s global coordinate position and the barrier’s distribution in the environment. The motion environment was represented as a 2-D grid map. The simulation in Visual Studio software can verify that

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45

Saavedra, Marian, Bruce Hellinga, and Jeffrey Casello. "Automated Quality Assurance Methodology for Archived Transit Data from Automatic Vehicle Location and Passenger Counting Systems." Transportation Research Record: Journal of the Transportation Research Board 2256, no. 1 (2011): 130–41. http://dx.doi.org/10.3141/2256-16.

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46

Chen, Zhimin, Xinyi He, Zhenxin Cao, Yi Jin, and Jingchao Li. "Position Estimation of Automatic-Guided Vehicle Based on MIMO Antenna Array." Electronics 7, no. 9 (2018): 193. http://dx.doi.org/10.3390/electronics7090193.

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The existing positioning methods for the automatic guided vehicle (AGV) in the port can not achieve high location precision, Therefore, a novel multiple input multiple output (MIMO) antenna radar positioning scheme is proposed in this paper. The positioning problem for AGV is considered, and the joint estimation problem for direction of departure (DoD) and direction of arrival (DoA) is addressed in the multiple-input multiple-output (MIMO) radar system. With the radar detect the transponder and estimate the DoA/DoD, the relative location between the transponder and the AGV can be obtained. The

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47

Zhao, Quan Ke, Xiao Lin Zhang, Yu Zhang, and Jian Ping Peng. "Image Based Positioning of the Freightcar’s Running Gear Springs." Applied Mechanics and Materials 130-134 (October 2011): 3826–29. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.3826.

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Freightcar’s running gear springs are easily ruptured in the processes of manufacturing and using, losing the role of relaxing vehicle vibration, and resulting in accident. It is time to study the automatic recognition of springs defects based on image processing technology. Defects recognition is on the premise of accurate spring image location. An image location algorithm for the freightcar’s running gear springs is proposed in this paper, which is based on the structure characteristics of springs themselves. The algorithm mainly includes graying the image, correcting non-uniform illuminatio

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48

Wiseman, Yair. "Conjoint Vehicle License Plate Identification System." Open Transportation Journal 14, no. 1 (2020): 164–73. http://dx.doi.org/10.2174/1874447802014010164.

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Background: An autonomous vehicle will go unaccompanied to park itself in a remote parking lot without a driver or a passenger inside. Unlike traditional vehicles, an autonomous vehicle can drop passengers off near any location. Afterward, instead of cruising for a nearby free parking, the vehicle can be automatically parked in a remote parking lot which can be in a rural fringe of the city where inexpensive land is more readily available. Objective: The study aimed at avoidance of mistakes in the identification of the vehicle with the help of the automatic identification device. Methods: It i

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49

Rashidi, Soroush, Prakash Ranjitkar, Orosz Csaba, and Andy Hooper. "Using Automatic Vehicle Location Data to Model and Identify Determinants of Bus Bunching." Transportation Research Procedia 25 (2017): 1444–56. http://dx.doi.org/10.1016/j.trpro.2017.05.170.

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50

Hammerle, Meghan, Michael Haynes, and Sue McNeil. "Use of Automatic Vehicle Location and Passenger Count Data to Evaluate Bus Operations." Transportation Research Record: Journal of the Transportation Research Board 1903, no. 1 (2005): 27–34. http://dx.doi.org/10.1177/0361198105190300104.

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New technologies such as automatic vehicle location (AVL) and automatic passenger counters (APC) make tremendous amounts of data available to transit planners and operators. Transit agencies would like to use these data to inform service planning and management and ultimately to provide more reliable service. This requires data processing in such a way as to provide pertinent information to transit planners. The research presented considers a sample of data collected from Chicago Transit Authority buses during the initial stage of AVL and APC implementation in Chicago, Illinois. Methods were d

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