Relevant bibliographies by topics / Automatic vehicle location

Contents

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

Academic literature on the topic 'Automatic vehicle location'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Automatic vehicle location"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Automatic vehicle location"

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Sundstrom, Carl Andrew. "Evaluation of transit signal priority effectiveness using automatic vehicle location data." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22660.

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Wong, Chi-tak Keith, and 黃志德. "Applications of vehicle location and communication technology in fleetmanagement systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31945612.

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Jeong, Ran Hee. "The prediction of bus arrival time using Automatic Vehicle Location Systems data." Texas A&M University, 2004. http://hdl.handle.net/1969.1/1458.

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Advanced Traveler Information System (ATIS) is one component of Intelligent Transportation Systems (ITS), and a major component of ATIS is travel time information. The provision of timely and accurate transit travel time information is important because it attracts additional ridership and increases the satisfaction of transit users. The cost of electronics and components for ITS has been decreased, and ITS deployment is growing nationwide. Automatic Vehicle Location (AVL) Systems, which is a part of ITS, have been adopted by many transit agencies. These allow them to track their transit vehic
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Kanaan, Ziad Y. "A review of automatic vehicle location technologies and applications to commercial transportation." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/36617.

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Sun, Wenzhe. "Bus Bunching Prediction and Transit Route Demand Estimation Using Automatic Vehicle Location Data." Kyoto University, 2020. http://hdl.handle.net/2433/253498.

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Chen, Cheng. "Using Archived Bus Automatic Vehicle Location Data to Identify Indications of Recurrent Congestion." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366320182.

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Bae, Sanghoon. "Dynamic estimation of travel time on arterial roads by using automatic vehicle location (AVL) bus as a vehicle probe." Diss., This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-10022007-144910/.

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廖曉昇 and Hugh-sing Hugh Liu. "Integrated vehicle positioning system using sensors and image processing of beacon signal." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31223114.

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Ehrlich, Joseph Emanuel. "Applications of Automatic Vehicle Location systems towards improving service reliability and operations planning in London." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60799.

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Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 163-165).<br>Technological advances in the transit industry, such as the introduction of Automatic Vehicle Location (AVL) systems, have provided agencies with robust data collection and measurement systems and enabled the development of comprehensive planning and operations tools. This thesis reviews the impact of an AVL installation in London, and demonstrates how data recorded by this sy
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Sun, Aichong. "AVL-BASED TRANSIT OPERATIONS CONTROL." Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1039%5F1%5Fm.pdf&type=application/pdf.

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Books on the topic "Automatic vehicle location"

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Vehicle location and navigation systems. Artech House, 1997.

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Workshop on Automatic Vehicle Location and Control (1987 Winnipeg, Man.). Automatic vehicle location and control: Workshop proceedings, November 15, 1987. Canadian Urban Transit Association, 1987.

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Levy, Dan. The use of automatic vehicle location for planning and management information. Canadian Urban Transit Association, 1991.

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Gabler, Hampton Clay. Development of a low-cost automated crash notification system. New Jersey Dept. of Transportation, 2001.

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Butterfield, Earl. Potential of automatic vehicle identification in the Puget Sound area. Washington State Dept. of Transportation, Washington State Transportation Commission, Planning and Programming Service Center, 1994.

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Nwagboso, Christopher O. Advanced vehicles and infrastructure systems: Computer applications, control, and automation. Wiley, 1997.

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International Conference on Road Vehicle Automation (1st 1993 Vehicle Systems Research Centre, School of Engineering, Bolton Institute, Bolton, UK). Road vehicle automation: Proceedings of the 1st International Conference on Road Vehicle Automation held at Vehicle Systems Research Centre, School of Engineering, Bolton Institute, Bolton, UK, 24-26 May 1993. Pentech P., 1993.

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International Symposium on Land Vehicle Navigation (2nd 1989 Münster, FRG). Second International Symposium on Land Vehicle Navigation 1989: 4.-7. July 1989, Münster, Federal Republic of Germany. Edited by Fogy Werner 1915-1988 and Deutsche Gesellschaft für Ortung und Navigation. Verlag TÜV Rheinland, 1989.

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Morlok, Edward K. Advanced vehicle monitoring and communication systems for bus transit: Benefits and economic feasibility : final report. U.S.Dept.of Transportation, Federal Transit Administration ; distributed in cooperation with Technology Sharing Program, 1994.

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Dailey, Daniel J. AVL-equipped vehicles as traffic probe sensors. Transportation Northwest, Dept. of Civil Engineering, University of Washington, 2002.

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Book chapters on the topic "Automatic vehicle location"

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Mousavi, Ali, Mohammad A. Rajabi, and Mohammad Akbari. "Design and Implementation of a GSM Based Automatic Vehicle Location System." In Computational Science and Its Applications – ICCSA 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02454-2_38.

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Argenzio, Benedetta, Nicola Amatucci, Marilisa Botte, Luca D’Acierno, Luca Di Costanzo, and Luigi Pariota. "The Use of Automatic Vehicle Location (AVL) Data for Improving Public Transport Service Regularity." In Advanced Information Networking and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75078-7_66.

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Huang, Pei, Xinjian Xiang, and Bingqiang Huang. "Research on the DV-Hop Location Algorithm Based on the Particle Swarm Optimization for the Automatic Driving Vehicle." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6733-5_29.

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Shekhar, Shashi, and Hui Xiong. "Automated Vehicle Location (AVL)." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_86.

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Redzic, Ogi, and Dietmar Rabel. "A Location Cloud for Highly Automated Driving." In Road Vehicle Automation 2. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19078-5_5.

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Senderovich, Gennadiy A., Artur O. Zaporozhets, Oleg G. Gryb, Ihor T. Karpaliuk, Sergiy V. Shvets, and Inna A. Samoilenko. "Automation of Determining the Location of Damage of Overhead Power Lines." In Control of Overhead Power Lines with Unmanned Aerial Vehicles (UAVs). Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69752-5_3.

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Martin, Robert, Emilia M. Bruck, and Aggelos Soteropoulos. "Transformations of European Public Spaces with AVs." In AVENUE21. Politische und planerische Aspekte der automatisierten Mobilität. Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-63354-0_9.

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ZusammenfassungConnected and automated driving is one of several emerging mobility trends that will fundamentally impact the use and design of public spaces in the coming decades. The uptake of transportation network companies (TNCs), such as Uber, has shown that a greater use of shared modes adds more vehicles to the road and shifts pickup and drop-off locations onto the street, i.e., increasing activity at the curb (Larco 2018: 50; Erhardt et al. 2019). Similar effects were caused by recent waves of dockless micromobility options, such as free-floating bikes or e-scooters, which temporarily led to congested sidewalks and increased spatial demands in public space (Polis 2019).
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Juneja, Sagar, Saurav Kochar, and Sachin Dhiman. "Intelligent Algorithm for Automatic Multistoried Parking System Using Image Processing with Vehicle Tracking and Monitoring from Different Locations in the Building." In Advances in Intelligent Systems and Computing. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6614-6_8.

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Jacob, Benjamin G., and Peace Habomugisha. "Location Intelligence Powered by Machine Learning Automation for Mapping Malaria Mosquito Habitats Employing an Unmanned Aerial Vehicle (UAV) for Implementing “Seek and Destroy” for Commercial Roadside Ditch Foci and Real Time Larviciding Rock Pit Quarry Habitats in Peri-Domestic Agro-Pastureland Ecosystems in Northern Uganda." In Advanced Sciences and Technologies for Security Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71998-2_8.

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Jeyabharathi D., Kesavaraja D., Sasireka D., and Barkath Nisha S. "Smart Accident Detection and Prevention System (SADPS)." In Smart Devices, Applications, and Protocols for the IoT. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7811-6.ch006.

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The two objectives of the smart accident detection and prevention system (SADPS) are 1) accident prevention and 2) accident detection. Based on the survey, 1.3 million people die every year due to roadway accidents. The main reason for this type of accident is speeding. So, the proposed SADPS focused on finding the speed parameters of each vehicle and giving notification to speeding vehicles through SMS that can be used to prevent accidents. The second objective is accident detection. For this task, each vehicle accelerometer values will be taken by the SADPS system. When an accident occurs, the location as well as the related details are sent to the SADPS system. This proposed system takes the immediate remedy by alerting the nearby police station and hospitals. Proposed SADPS also acts as a video surveillance and monitoring system. Automatic background subtraction and object tracking is done with the help of novel approaches.
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Conference papers on the topic "Automatic vehicle location"

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Hamlen, M. D. "Fleet management with automatic vehicle location." In 36th IEEE Vehicular Technology Conference. IEEE, 1986. http://dx.doi.org/10.1109/vtc.1986.1623461.

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Davies, I. "Managing police vehicles with automatic vehicle location (Securicor Information Systems)." In IEE Seminar Using ITS in Public Transport and in Emergency Services. IEE, 1998. http://dx.doi.org/10.1049/ic:19981089.

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Pop, Eugen, and Alexandru Botu. "Programmable GPS Receiver for Automatic Vehicle Location." In 2006 IEEE International Conference on Automation, Quality and Testing, Robotics. IEEE, 2006. http://dx.doi.org/10.1109/aqtr.2006.254566.

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Banks, K. M. "Datatrak Automatic Vehicle Location System in Operational Use in the UK." In Vehicle Navigation & Instrument Systems. SAE International, 1991. http://dx.doi.org/10.4271/912825.

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Morenz, Tino, and Rene Meier. "An Estimation-based Automatic Vehicle Location System for Public Transport Vehicles." In 2008 11th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2008. http://dx.doi.org/10.1109/itsc.2008.4732654.

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Guozhen, Tan, Liu Lidong, Wang Fan, and Wang Yaodong. "Dynamic OD estimation using Automatic Vehicle Location information." In 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2011. http://dx.doi.org/10.1109/itaic.2011.6030221.

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Herring, Russell M. "Wireless Technologies: Overview for Automatic Vehicle Location Applications." In International Congress & Exposition. SAE International, 1998. http://dx.doi.org/10.4271/981149.

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Long Nguyen and M. Barth. "Improving Automatic Vehicle Location Efficiency through Aperiodic Filtering." In 2006 IEEE Intelligent Transportation Systems Conference. IEEE, 2006. http://dx.doi.org/10.1109/itsc.2006.1706755.

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"Datatrak automatic vehicle location system in operational use in the UK." In 1991 Vehicle Navigation and Information Systems Conference. IEEE, 1991. http://dx.doi.org/10.1109/vnis.1991.205823.

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Sagers, R. C. "A Loran-C based receiver for automatic vehicle location." In 36th IEEE Vehicular Technology Conference. IEEE, 1986. http://dx.doi.org/10.1109/vtc.1986.1623463.

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Reports on the topic "Automatic vehicle location"

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Papatheofanis, B. J., M. L. Hasenack, R. T. Teller, and G. F. Ramsey. Global positioning automatic vehicle location system. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/444037.

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Volinski, Joel. Transit Service Reliability: Analyzing Automatic Vehicle Location. University of South Florida, 2012. http://dx.doi.org/10.5038/cutr-nctr-rr-2012-15.

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Cevallos, Fabian. Transit Service Reliability: Analyzing Automatic Vehicle Location (AVL) Data For On-Time Performance and to Identify Conditions Leading to Service Degradation. University of South Florida, 2016. http://dx.doi.org/10.5038/cutr-nctr-rr-2013-05.

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Yoozbashizadeh, Mahdi, and Forouzan Golshani. Robotic Parking Technology for Congestion Mitigation and Air Quality Control Around Park & Rides. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1936.

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A lack or limited availability for parking may have multiple consequences, not the least of which is driver frustration, congestion, and air pollution. However, there is a greater problem that is not widely recognized by the public, namely the negative effect on the use of transit systems due to insufficient parking spaces close to key transit stations. Automated parking management systems, which have been successfully deployed in several European and Japanese cities, can manage parking needs at transit stations more effectively than other alternatives. Numerous studies have confirmed that qui
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McCullouch, Bob, Michelle Leung, and Wonjin Kang. Automated Vehicle Location (AVL) for Road Condition Reporting. Purdue University, 2011. http://dx.doi.org/10.5703/1288284314293.

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Arhin, Stephen, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba. Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs). Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1943.

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Washington, DC is ranked second among cities in terms of highest public transit commuters in the United States, with approximately 9% of the working population using the Washington Metropolitan Area Transit Authority (WMATA) Metrobuses to commute. Deducing accurate travel times of these metrobuses is an important task for transit authorities to provide reliable service to its patrons. This study, using Artificial Neural Networks (ANN), developed prediction models for transit buses to assist decision-makers to improve service quality and patronage. For this study, we used six months of Automati
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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