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Relevant bibliographies by topics / Traffic wave

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Academic literature on the topic 'Traffic wave'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Traffic wave"

1

Zhang, H. M., and W. L. Jin. "Kinematic Wave Traffic Flow Model for Mixed Traffic." Transportation Research Record: Journal of the Transportation Research Board 1802, no. 1 (2002): 197–204. http://dx.doi.org/10.3141/1802-22.

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The Lighthill-Whitham-Richards kinematic wave traffic flow model was extended to describe traffic with different types of vehicles, in which all types of vehicles are completely mixed and travel at the same group velocity. A study of such a model with two vehicle classes (e.g., passenger cars and trucks) showed that when both classes of traffic have identical freeflow speeds, the model (a) satisfies the first-in-first-out rule, (b) is anisotropic, and (c) has the usual shock and expansion waves and a family of contact waves. Different compositions of vehicle classes in this model propagate alo

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Mi, Binbin, and Jianghai Xia. "Surface-Wave Imaging with Nonrandom Traffic Noise Sources." Journal of Physics: Conference Series 2651, no. 1 (2023): 012026. http://dx.doi.org/10.1088/1742-6596/2651/1/012026.

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Abstract We analyze the influence of nonrandom traffic noise sources on surface wave imaging. With nonrandom traffic noise sources in time (correlated sources), spurious signals are produced in the crosscorrelation functions. With nonrandom traffic noise sources in space (directional sources), phase velocities are overestimated from the retrieved surface waves. The retrieval of surface waves can be improved by stationary-phase segment selection, cross-coherence and stacking of the results from multiple traffic noise sources. Synthetic results demonstrate that cross-coherence and stacking of mu

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Sakhare, Rahul Suryakant, Howell Li, and Darcy M. Bullock. "Methodology for the Identification of Shock Wave Type and Speed in a Traffic Stream Using Connected Vehicle Data." Future Transportation 3, no. 4 (2023): 1147–74. http://dx.doi.org/10.3390/futuretransp3040063.

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The concept of traffic shock waves was first theorized by Lighthill and Whitham in 1955. The identification of shock wave type and speed in a traffic stream provides critical information about the queue formation and its dissipation. This information can be utilized by various stakeholders for traffic management, emergency response, etc. Such information can also be integrated into the travel time prediction models and real-time route diversions for navigation. Past efforts at identifying shock waves used simulation or analysis based on location-based sensors such as loop detectors. This paper

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Li, Haizhen, Claudio Roncoli, and Yongfeng Ju. "A Helly Model-Based MPC Control System for Jam-Absorption Driving Strategy against Traffic Waves in Mixed Traffic." Applied Sciences 14, no. 4 (2024): 1424. http://dx.doi.org/10.3390/app14041424.

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Traffic waves in traffic flow significantly impact road throughput and fuel consumption and may even lead to severe safety issues. Currently, in connected and autonomous environments, the jam-absorption driving (JAD) strategy shows good performance in dissipating traffic waves. However, the previous JAD strategy has mostly focused on wave dissipation without adequately assessing traffic efficiency and safety. To address this gap, an optimal control problem for JAD in mixed traffic is proposed to reduce traffic waves. The prediction model is developed using the car-following model within a mode

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Ning, Ling, Tianyu Dai, Ya Liu, Hao Zhang, and Chaoqiang Xi. "Surface wave imaging with stationary-phase noise sources based on ultrashort traffic-induced data: An application in karst cave detection." Journal of Physics: Conference Series 2895, no. 1 (2024): 012016. https://doi.org/10.1088/1742-6596/2895/1/012016.

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Abstract In urban environments, abundant traffic-induced noise data are analyzed through crosscorrelation to retrieve high-frequency (> 1 Hz) surface waves, providing a cost-effective technique for detecting near-surface structures. The isotropic noise source distribution is an essential prerequisite for the correct reconstruction of the Green’s function. The azimuth of traffic noise sources, however, can change with human activities in highly populated urban areas, resulting in non-random distributions in time and space. Due to the uneven distribution of traffic noise sources, spurious sig

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Kamala Aliyeva, Kamala Aliyeva, and Shain Javadov Shain Javadov. "MODELİNG OF TRAFFİC LİGHT CONTROL SYSTEMS." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 28, no. 05 (2023): 119–26. http://dx.doi.org/10.36962/pahtei28052023-119.

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Traffic light control systems are commonly utilized to monitor and manage the flow of autos across multiple road intersections. Since traffic jams are ubiquitous in daily life, A crucial aim is to optimize the functioning of traffic signals for optimal traffic flow. Traffic light control systems aim to make sure automobiles flow smoothly along transit routes. However, considering the numerous parameters involved, synchronizing several traffic signal systems at neighboring junctions is a difficult challenge. Conventional systems are incapable of dealing with varied flows nearing intersections.

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Qu, Da-yi, Meng-fei Wan, Zi-lin Wang, Xiang-hua Xu, and Jin-zhan Wang. "Green Wave Coordinate Control Method for Arterial Traffic Based on Traffic Wave Theory." Journal of Highway and Transportation Research and Development (English Edition) 11, no. 4 (2017): 65–73. http://dx.doi.org/10.1061/jhtrcq.0000597.

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Zhang, Kai, Hongyi Li, Xiaojiang Wang, and Kai Wang. "Retrieval of shallow S-wave profiles from seismic reflection surveying and traffic-induced noise." GEOPHYSICS 85, no. 6 (2020): EN105—EN117. http://dx.doi.org/10.1190/geo2019-0845.1.

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In urban subsurface exploration, seismic surveys are mostly conducted along roads where seismic vibrators can be extensively used to generate strong seismic energy due to economic and environmental constraints. Generally, Rayleigh waves also are excited by the compressional wave profiling process. Shear-wave (S-wave) velocities can be inferred using Rayleigh waves to complement near-surface characterization. Most vibrators cannot excite seismic energy at lower frequencies (<5 Hz) to map greater depths during surface-wave analysis in areas with low S-wave velocities, but low-frequency surfac

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Jia, Yu Han, Jian Ping Wu, and Yi Man Du. "Modification of Traffic Wave Theory and the Development of a New Stop-Wave Model." Applied Mechanics and Materials 253-255 (December 2012): 1615–18. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1615.

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This paper studies the traffic wave phenomenon on the basis of traffic flow theory and finds that the classical theory disagreeing with the real traffic state. The existing theory is modified and a new traffic wave model is proposed based on the improved theory. The aim of the model is to better describe the stop-wave phenomenon in signalized intersections at a microscopic level. Then the model is calibrated and validated by data obtained from an intersection during morning-peak period. Results show this new model can represent the characteristics of traffic wave with a high accuracy and can d

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Torsvik, T., I. Didenkulova, T. Soomere, and K. E. Parnell. "Variability in spatial patterns of long nonlinear waves from fast ferries in Tallinn Bay." Nonlinear Processes in Geophysics 16, no. 2 (2009): 351–63. http://dx.doi.org/10.5194/npg-16-351-2009.

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Abstract. High-speed ferries are known to generate wakes with unusually long periods, and occasionally large amplitudes which may serve as a qualitatively new forcing factor in coastal regions that are not exposed to a sea swell. An intrinsic feature of such wakes is their large spatial variation. We analyze the variability of wake conditions for the coasts of Tallinn Bay, the Baltic Sea, a sea area with very intense fast ferry traffic. The modelled ship wave properties for several GPS-recorded ship tracks reasonably match the measured waves in terms of both wave heights and periods. It is sho

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Dissertations / Theses on the topic "Traffic wave"

1

Jin, Wenlong. "Kinematic wave models of network vehicular traffic /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2003. http://uclibs.org/PID/11984.

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Yang, Wu. "Traffic Surveillance Using Low Cost Continuous Wave (CW) Doppler Radars." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1347404224.

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Yung, Tamara. "Traffic Modelling Using Parabolic Differential Equations." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-102745.

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The need of a working infrastructure in a city also requires an understanding of how the traffic flows. It is known that increasing number of drivers prolong the travel time and has an environmental effect in larger cities. It also makes it more difficult for commuters and delivery firms to estimate their travel time. To estimate the traffic flow the traffic department can arrange cameras along popular roads and redirect the traffic, but this is a costly method and difficult to implement. Another approach is to apply theories from physics wave theory and mathematics to model the traffic flow;

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Benekohal, Rahim Farahnak. "Development and validation of a car following model for simulation of traffic flow and traffic wave studies at bottlenecks /." The Ohio State University, 1986. http://rave.ohiolink.edu/etdc/view?acc_num=osu148726669109498.

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Kim, Gi-Jeon. "Wave propagation in tyres and the resultant noise radiation." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.245609.

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Kumar, Nishant. "Towards practical implementation of computational solution of the Kinematic -wave Model for simulating traffic-flow scenarios." Thesis, Texas A&M University, 2004. http://hdl.handle.net/1969.1/1037.

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The Kinematic-wave model is one of the models proposed to simulate vehicular traffic. It has not received widespread use because of poor understanding of associated interface conditions and early use of incorrect numerical schemes used. This thesis analyzes mathematically correct boundary and interface conditions in the context of the Godunov method as the numerical scheme for the simulation software created. This thesis simulates a set of scenarios originally proposed by Ross, to verify the validity of simulation. The results of the simulation are compared against the corresponding results of

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Ni, Daiheng. "Extension and generalization of Newell's simplified theory of kinematic waves." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-11112004-112805/unrestricted/ni%5Fdaiheng%5F200412%5Fphd.pdf.

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Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2005.<br>Leonard, John D., Committee Chair ; Goldsman, Dave, Committee Member ; Amekudzi, Adjo, Committee Member ; Hunter, Michael, Committee Member ; Dixon, Karen, Committee Member. Vita. Includes bibliographical references.

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Jörneskog, Gustav, and Josef Kandelan. "Using Deep Reinforcement Learning For Adaptive Traffic Control in Four-Way Intersections." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158204.

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The consequences of traffic congestion include increased travel time, fuel consumption, and the number of crashes. Studies suggest that most traffic delays are due to nonrecurring traffic congestion. Adaptive traffic control using real-time data is effective in dealing with nonrecurring traffic congestion. Many adaptive traffic control algorithms used today are deterministic and prone to human error and limitation. Reinforcement learning allows the development of an optimal traffic control policy in an unsupervised manner. We have implemented a reinforcement learning algorithm that only requir

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Kang, Youn-Soo. "Delay, Stop and Queue Estimation for Uniform and Random Traffic Arrivals at Fixed-Time Signalized Intersections." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27030.

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With the introduction of different forms of adaptive and actuated signal control, there is a need for effective evaluation tools that can capture the intricacies of real-life applications. While the current state-of-the-art analytical procedures provide simple approaches for estimating delay, queue length and stops at signalized intersections, they are limited in scope. Alternatively, several microscopic simulation softwares are currently available for the evaluation of signalized intersections. The objective of this dissertation is fourfold. First, it evaluates the consistency, accuracy, limi

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Krantz, Christoffer, and Gabriela Vukota. "Pushing Traffic into the Digital Age : A Communication Technology Comparison and Security Assessment." Thesis, Högskolan i Halmstad, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42400.

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With the rapid advances of technology, digitisation of many facets of our existence is taking place in an attempt to improve everyday life. The automotive industry is following suit, attempting to introduce connected traffic technology that is meant to improve traffic fluidity and safety. To facilitate this, connected vehicles aim to create solutions for the sharing of information between other vehicles, infrastructure - such as traffic light controllers, and pedestrians. In an attempt to further investigate the connected vehicle landscape of today, the thesis compared the two most prominent t

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Books on the topic "Traffic wave"

1

Guard, Canadian Coast. Vessel traffic services: Wave of the future. Canadian Coast Guard, 1991.

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Workshop on Traffic and Granular Flow (1997 Gerhard-Mercato-Universität Duisburg). Traffic and granular flow '97: Gerhard-Mercato-Universität Duisburg, Germany, October 6-8, 1997. Springer, 1998.

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E, Wolf D., Schreckenberg Michael, and Bachem A, eds. Workshop on Traffic and Granular Flow: HLRZ, Forschungszentrum Jülich, Germany, October 9-11, 1995. World Scientific, 1996.

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Kulshrestha, Sanjay. Tsunami on roads: Wake up India! Edited by Vijayakar Pradeep. Conscious Citizens, 2010.

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Office, General Accounting. Air traffic control: FAA needs to better prepare for impending wave of controller attrition : report to the chairman and ranking Democratic member of the Subcommittee on Aviation, House Committee on Transportation and Infrastructure. U.S. General Accounting Office, 2002.

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North Carolina. Division of Highways. Statewide Planning Branch. Wake County thoroughfare plan. The Branch, 1994.

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Semblat, J. F. Waves and vibrations in soils: Earthquakes, traffic, shocks, construction works. IUSS Press, 2009.

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Wiersema, Robert J. Before I wake. Random House Canada, 2006.

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Wiersema, Robert J. Before I wake. Vintage Canada, 2007.

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Bailey, Larry L. Wake of the whale: A tale of the Pacific coast. Commonwealth Publications, 1997.

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Book chapters on the topic "Traffic wave"

1

Cao, Lin, Zongmin Zhao, and Dongfeng Wang. "Traffic Radar System." In Target Recognition and Tracking for Millimeter Wave Radar in Intelligent Transportation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1533-0_2.

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Tomoeda, Akiyasu, Daichi Yanagisawa, Takashi Imamura, and Katsuhiro Nishinari. "Optimal Density in a Queue with Starting-Wave." In Traffic and Granular Flow '11. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39669-4_17.

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Jayashree, P., T. Aravinth, S. Ashok Kumar, and S. K. R. Manikandan. "DoS Attack Inference Using Traffic Wave Analysis." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14493-6_19.

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Wilson, R. E., and P. Berg. "Existence and Classification of Travelling Wave Solutions to Second Order Highway Traffic Models." In Traffic and Granular Flow’01. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-10583-2_6.

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Knobel, Roger. "Shock wave example: Traffic at a red light." In The Student Mathematical Library. American Mathematical Society, 1999. http://dx.doi.org/10.1090/stml/003/20.

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Kowalczyk, P., T. Platkowski, and W. Waluś. "Application of a Deterministic Scheme for the Boltzmann Equation in Modelling Shock Wave Focusing." In Traffic and Granular Flow ’99. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59751-0_22.

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Khayrov, E. M., V. A. Prosvirov, and Anna Platonova. "Traffic Arrival Model for Millimeter Wave 5G NR Systems." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23207-7_13.

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He, Ping, Yunjia Sun, Qingze He, and Chen Li. "Design of wave-maker system for harbor basin driven by servo motor." In Advances in Traffic Transportation and Civil Architecture. CRC Press, 2023. http://dx.doi.org/10.1201/9781003402220-49.

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Kurtc, Valentina, and Martin Treiber. "Simulating Bicycle Traffic by the Intelligent-Driver Model: Reproducing the Traffic-Wave Characteristics Observed in a Bicycle-Following Experiment." In Traffic and Granular Flow '17. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11440-4_55.

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Pyl, L., G. Degrande, G. Lombaert, and W. Haegeman. "Experimental validation of a numerical prediction model for traffic induced vibrations by in situ experiments." In Wave propagation Moving load – Vibration Reduction. CRC Press, 2021. http://dx.doi.org/10.1201/9781003211372-27.

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Conference papers on the topic "Traffic wave"

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Zhang, Hualong, Na Ren, and Qi Wang. "Deep reinforcement learning-based dynamic green wave control strategy." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054569.

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Xu, Wei, Qinlin Li, and Kefei Liao. "Adaptive spindle fusion clustering algorithm for millimeter wave radar traffic targets." In Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), edited by Hao Chen and Wei Shangguan. SPIE, 2025. https://doi.org/10.1117/12.3050746.

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Oliveira, Luiz F. P., Paulo D. G. Luz, and Leandro T. Manera. "Green Wave Coordination Through Wireless Traffic Light Controller System." In 2024 Symposium on Internet of Things (SIoT). IEEE, 2024. https://doi.org/10.1109/siot63830.2024.10780660.

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Vasin, Anton, and Vasiliy Elagin. "Assessment of the Traffic Processing in 5G-NTN." In 2025 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF). IEEE, 2025. https://doi.org/10.1109/weconf65186.2025.11017290.

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Chen, Yu, Minglei Yang, Xueyi Wang, and Baixiao Chen. "Multipath Model and Ghost Suppression for Millimeter Wave Traffic Radar." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868312.

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Salvato, Erica, Lorenzo Elia, Gianfranco Fenu, and Thomas Parisini. "Stop-and-Go Traffic Wave Attenuation: A Shared Control Approach." In 2024 IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886794.

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Wang, Jihong, Ruijia He, Yingjun He, et al. "Dyn-GWN: Application of Graph Wave Networks on the Largest Traffic Dataset." In 2024 International Symposium on Internet of Things and Smart Cities (ISITSC). IEEE, 2024. https://doi.org/10.1109/isitsc64373.2024.00020.

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Thadathil, Mohammed Risal, and Nasir Saeed. "Smart Traffic Intersections: Leveraging ISAC and Millimeter-Wave for Advanced Vehicle Platooning." In 2025 Global Information Infrastructure and Networking Symposium (GIIS). IEEE, 2025. https://doi.org/10.1109/giis64151.2025.10922050.

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Altan, Dogan, Dusica Marijan, and Tetyana Kholodna. "Deep Learning-Based Vessel Traffic Prediction Using Historical Density and Wave Features." In 17th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013258100003890.

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Zhang, Zhaoning, Xinhua Li, and Lili Wang. "Application of Traffic-Wave Theory in Air Traffic Flow." In Eighth International Conference of Chinese Logistics and Transportation Professionals (ICCLTP). American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/40996(330)669.

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Reports on the topic "Traffic wave"

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Suryakant Sakhare, Rahul, Justin Mahlberg, Jijo K. Mathew, Jairaj Desai, Howell Li, and Darcy M. Bullock. Impacts to Traffic Behavior from Queue Warning Truck: Current Pilot Project. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317448.

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The Indiana Department of Transportation (INDOT) started deploying queue warning trucks ahead of interstate work zones to alert motorists of queued traffic. Along with visually alerting the motorists, digital alerts were integrated with navigational applications such as Apple Maps, Waze, and the in-vehicle infotainment system of Stellantis vehicles. More than 45,000 hours of alerting was provided to motorists across various interstates in Indiana over a 26-month period. This report evaluated the impact of queue warning trucks on traffic using hard braking events and traffic speeds provided by

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Salgado, Edgar, and Oscar A. Mitnik. Spatial and Time Spillovers of Driving Restrictions: Causal Evidence from Limas Pico y Placa Policy. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003849.

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Driving restrictions are popular interventions in rapidly urbanizing developing countries. Their relatively inexpensive implementation appeals to the pressing need to reduce traffic congestion and pollution. Their effectiveness however, remains contested. Using high frequency data from the community-based driving directions app Waze, we evaluate the causal effect on traffic congestion of Lima's Pico y Placa driving restriction policy introduced in 2019. We find small improvements in traffic congestion for the policy's directly targeted areas. However, those improvements are offset by time and

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Duvvuri, Sarvani, and Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1946.

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Trucks serve significant amount of freight tonnage and are more susceptible to complex interactions with other vehicles in a traffic stream. While traffic congestion continues to be a significant ‘highway’ problem, delays in truck travel result in loss of revenue to the trucking companies. There is a significant research on the traffic congestion mitigation, but a very few studies focused on data exclusive to trucks. This research is aimed at a regional-level analysis of truck travel time data to identify roads for improving mobility and reducing congestion for truck traffic. The objectives of

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