Добірка наукової літератури з теми "Hourly Traffic Volume"
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Статті в журналах з теми "Hourly Traffic Volume"
Sharma, Satish C., Jin Y. Oh, and Jon J. Wyatt. "Estimation of design hourly volume from seasonal traffic counts." Canadian Journal of Civil Engineering 14, no. 6 (December 1, 1987): 728–31. http://dx.doi.org/10.1139/l87-110.
Повний текст джерелаOh, Ju Sam, Tae Young Heo, and Jin Ki Eom. "Hourly traffic volume estimation: radio frequency identification application." World Review of Intermodal Transportation Research 2, no. 2/3 (2009): 187. http://dx.doi.org/10.1504/writr.2009.023306.
Повний текст джерелаShafique, Muhammad Awais. "Imputing Missing Data in Hourly Traffic Counts." Sensors 22, no. 24 (December 15, 2022): 9876. http://dx.doi.org/10.3390/s22249876.
Повний текст джерелаKim, Seong Ho, Won Ho Suh, and Jun Gin Kim. "Airport Access Road Traffic Demand Estimation." Applied Mechanics and Materials 764-765 (May 2015): 1356–60. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.1356.
Повний текст джерелаKhan, Zadid, Sakib Mahmud Khan, Kakan Dey, and Mashrur Chowdhury. "Development and Evaluation of Recurrent Neural Network-Based Models for Hourly Traffic Volume and Annual Average Daily Traffic Prediction." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 7 (June 2, 2019): 489–503. http://dx.doi.org/10.1177/0361198119849059.
Повний текст джерелаCapparuccini, David Mario, Ardeshir Faghri, Abishai Polus, and Robert E. Suarez. "Fluctuation and Seasonality of Hourly Traffic and Accuracy of Design Hourly Volume Estimates." Transportation Research Record: Journal of the Transportation Research Board 2049, no. 1 (January 2008): 63–70. http://dx.doi.org/10.3141/2049-08.
Повний текст джерелаLiu, Zhaobin, and Satish Sharma. "Predicting Directional Design Hourly Volume from Statutory Holiday Traffic." Transportation Research Record: Journal of the Transportation Research Board 1968, no. 1 (January 2006): 30–39. http://dx.doi.org/10.1177/0361198106196800104.
Повний текст джерелаZhou, Min, and Virginia P. Sisiopiku. "Relationship Between Volume-to-Capacity Ratios and Accident Rates." Transportation Research Record: Journal of the Transportation Research Board 1581, no. 1 (January 1997): 47–52. http://dx.doi.org/10.3141/1581-06.
Повний текст джерелаMa, Fangchen, Jinliang Xu, Chao Gao, and Yufeng Bi. "Study on the Distribution of the Suburban Expressway Hourly Traffic Volume and Modification of the Design Hourly Volume under the Background of the Tourism Economy—Analysis on Design Factors of Normalized Congestion in Suburban Expressway." Sustainability 14, no. 17 (August 29, 2022): 10775. http://dx.doi.org/10.3390/su141710775.
Повний текст джерелаSekuła, Przemysław, Zachary Vander Laan, Kaveh Farokhi Sadabadi, Krzysztof Kania, and Sara Zahedian. "Transferability of a Machine Learning-Based Model of Hourly Traffic Volume Estimation—Florida and New Hampshire Case Study." Journal of Advanced Transportation 2021 (November 26, 2021): 1–15. http://dx.doi.org/10.1155/2021/9944918.
Повний текст джерелаДисертації з теми "Hourly Traffic Volume"
Shrestha, Sajan. "SENSITIVITY OF QUEUE ESTIMATES TO THE SIZE OF THE TIME INTERVAL USED TO AGGREGATE TRAFFIC VOLUME DATA." Cleveland State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=csu1431087335.
Повний текст джерелаCampomanes, Campomanes Alfredo Jorge, and Olivera Joel Moisés López. "Reducción de la congestión vehicular a través de la implementación de la Ola Verde en la Av. Caminos del Inca en el tramo comprendido entre Jr. Batallón Callao Norte y Jr. Cádiz en el distrito de Surco." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2019. http://hdl.handle.net/10757/626381.
Повний текст джерелаTraffic congestion is one of the most acute problems in the city of Lima. This problem is reflected in almost all the streets and main avenues of the city, due to factors such as the increase in the vehicle fleet that collapses the capacity of the road infrastructure and leaves the traffic management for which it was designed in disuse; In other words, the increase in the flow of vehicles causes great congestion, long queues of vehicles, prolonged delays and poor service levels. The study area to be treated is in the district of Surco and the intervened road is the Caminos del Inca avenue in the stretch from Batallón Callao street to Cádiz street crossing important avenues such as Velazco Astete and Higuereta. This is one of most heavily traveled avenue in the district of Surco because of the shopping centers, institutes, universities, among others, that are close to this important traffic artery. Therefore, this thesis work has as main objective to reduce the vehicular congestion of this avenue and improve the service levels of its intersections with the implementation of the green wave through modeling and simulation in the Synchro 8 software. For the elaboration of this research work, field data were collected, such as the vehicle capacity to determine the peak hour and the hourly volume of maximum vehicular demand, as well as the measurement of the traffic light cycles and their faces in a typical day of the week. With all this data compiled in the field work, saturation degrees and current service levels were obtained so that later they can be evaluated in order to implement the green wave and optimize traffic. Finally, with the implementation of the green wave and traffic management modifications, notable improvements were obtained such as optimization of service levels at intersections, for example, at intersection No. 01 it went from C to B, at No. 02 from F to D, in No. 03 from C to B and in No. 04 from C to B; in the same way, the travel time from an extreme point, intersection No. 01, to the other, Intersection No. 04, improved considerably from 6 minutes and 30 seconds approximately to 1 minute and 28 seconds due to the progressive synchronization of the green colour of the traffic lights in each intersection.
Tesis
Книги з теми "Hourly Traffic Volume"
Division, Virginia Traffic Engineering, ed. 1995 24 hour traffic volumes. [Richmond, Va.]: Virginia Dept. of Transportation, Traffic Engineering Division, 1995.
Знайти повний текст джерелаЧастини книг з теми "Hourly Traffic Volume"
Macioszek, Elżbieta. "Relationship between Vehicle Stream in the Circular Roadway of a One-Lane Roundabout and Traffic Volume on the Roundabout at Peak Hour." In Telematics - Support for Transport, 110–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45317-9_12.
Повний текст джерелаТези доповідей конференцій з теми "Hourly Traffic Volume"
Cook, Mylan R., Kent L. Gee, Mark K. Transtrum, Shane V. Lympany, and Matthew F. Calton. "Toward improving road traffic noise characterization: A reduced-order model for representing hourly traffic volume dynamics." In 181st Meeting of the Acoustical Society of America. ASA, 2021. http://dx.doi.org/10.1121/2.0001636.
Повний текст джерелаMrad, Sonia, and Rafaa Mraihi. "Short Term Prediction of Hourly Traffic Volume Using Neural Network in Interurban Freeway." In 2019 International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2019. http://dx.doi.org/10.1109/logistiqua.2019.8907310.
Повний текст джерелаLovrić, Ivan, Boris Čutura, Tiziana Campisi, Antonino Canale, and Marko Renčelj. "Dependence of design hourly volume on the function and nature of traffic demand of rural roads." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1320.
Повний текст джерелаMohammad, Anas Ahmad, Deepti Muley, Mohammad Shareef Ghanim, and Mohamed Bin Mokhtar Kharbeche. "COVID-19 Preventive Measures & their Impact on Traffic Demand & Safety." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0302.
Повний текст джерелаRADZISZEWSKI, L. "Analysis of Urban Traffic Noise at Weekends – Case Study." In Terotechnology XII. Materials Research Forum LLC, 2022. http://dx.doi.org/10.21741/9781644902059-43.
Повний текст джерелаCvitanić, Dražen, and Biljana Maljković. "The impact of different saturation headway values on intersection capacity." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.996.
Повний текст джерела"Experimental Research on the Bearing Capacity of the Widening Segment of Precast Small Box Girder." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-37.
Повний текст джерелаGalinskaitė, Lina, Gytautas Ignatavičius, and Vaidotas Valskys. "DEPENDENCE OF VEHICLE COLLISIONS WITH ROE DEER ON SPATIAL AND TEMPORAL FACTORS IN LITHUANIA." In 11th International Conference “Environmental Engineering”. VGTU Technika, 2020. http://dx.doi.org/10.3846/enviro.2020.651.
Повний текст джерелаCarroll, Ernest A., and Dan B. Rathbone. "Using an Unmanned Airborne Data Acquisition System (ADAS) for Traffic Surveillance, Monitoring, and Management." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32916.
Повний текст джерелаDai, Xiyan, and Lee Yu-Chi. "Investigating preferred listening levels when using noise-canceling headphones among male graduate students." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001705.
Повний текст джерелаЗвіти організацій з теми "Hourly Traffic Volume"
Tarko, Andrew P., Qiming Guo, and Raul Pineda-Mendez. Using Emerging and Extraordinary Data Sources to Improve Traffic Safety. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317283.
Повний текст джерелаCheng, Wen, Yongping Zhang, and Edward Clay. Comprehensive Performance Assessment of Passive Crowdsourcing for Counting Pedestrians and Bikes. Mineta Transportation Institute, February 2022. http://dx.doi.org/10.31979/mti.2022.2025.
Повний текст джерелаDay, Christopher M., Hiromal Premachandra, and Darcy M. Bullock. Characterizing the Impacts of Phasing, Environment, and Temporal Factors on Pedestrian Demand at Traffic Signals. Purdue University, 2011. http://dx.doi.org/10.5703/1288284317352.
Повний текст джерела