Relevant bibliographies by topics / Dynamic Traffic Information

Contents

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

Academic literature on the topic 'Dynamic Traffic Information'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Dynamic Traffic Information"

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Hamerslag, Rudi. "Dynamic Traffic Information for Advanced Traveler Information Systems." IFAC Proceedings Volumes 27, no. 12 (August 1994): 609–14. http://dx.doi.org/10.1016/s1474-6670(17)47538-0.

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Fan, Shan Shan, Dian Ge Yang, Zhao Sheng Zhang, Ting Li, and Xiao Min Lian. "Fusion of Dynamic Traffic Information and Embedded GIS." Advanced Materials Research 433-440 (January 2012): 5654–58. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5654.

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Dynamic traffic information is an important data for Intelligent Transportation System(ITS). Fusion of dynamic traffic information and embedded GIS is a basis for dynamic path planning and dynamic navigation. The approach proposed in this paper designed a model of dynamic traffic information and a hierarchical sub-model of road condition, and established algorithms for fusion with road network. Experiments with embedded GIS show that the models and integration algorithms are validated and effective. We believe the newly developed approach will be of great potential in ITS and future applications of dynamic traffic information.
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Khoshyaran, Megan M., and Jean-Patrick Lebacque. "Reactive dynamic traffic assignment: impact of information." Transportation Research Procedia 47 (2020): 59–66. http://dx.doi.org/10.1016/j.trpro.2020.03.154.

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Yu, Guodong, and Yu Yang. "Dynamic routing with real-time traffic information." Operational Research 19, no. 4 (May 15, 2017): 1033–58. http://dx.doi.org/10.1007/s12351-017-0314-9.

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Fang, Yu, Dong Liang Zhang, Chun Gang Yan, Hong Zhong Chen, and Changjun Jiang. "Service and Management Oriented Traffic Information Grid." International Journal of Distributed Systems and Technologies 1, no. 4 (October 2010): 14–26. http://dx.doi.org/10.4018/jdst.2010100102.

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Traffic information service plays an important role in one’s daily life. However, traffic information processing is very complicated because of its dynamic, cooperative and distributed features. This paper presents the Service and Monitoring Oriented Traffic Information Grid. In this system, it is a remarkable characteristic to provide real-time, dynamic information services for travelers and traffic managers by grid technology. The system provides travelers with services of optimized route scheme, bus arrival prediction based on real-time route status, and route status forecast. For traffic managers, the system can provide vehicle tracing, traffic monitoring, history data analysis, and decision making on traffic control strategy. In this regard, key research includes large multi-source traffic data integration, route status forecast, and optimum dynamic travel scheme implementation based on massive GPS data.
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Xu, Bixia, and Zhulin Huang. "Information Traffic and Information Effectiveness." Journal of Emerging Technologies in Accounting 13, no. 2 (August 1, 2016): 21–36. http://dx.doi.org/10.2308/jeta-51548.

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ABSTRACT Search engines are among the most important information technology (IT) applications and platforms on which to conduct information search. This study contributes by investigating whether and how the search engine-enabled information search is related to accounting information effectiveness. We develop the concept of information traffic to conceptualize investor IT-enabled information search activities and to explore whether the searches captured by this concept provide any insights for understanding and enhancing accounting information effectiveness. Building upon the input-process-output model (Maines and McDaniel 2000) and with a sample of 59 accounting information items, we report that information items with higher information traffic have greater ability to explain and predict firm market value (i.e., higher information effectiveness). The impact of information traffic on information effectiveness is higher for economic upturns than for economic downturns and differs among different types of information. We propose a conceptual measure that integrates both information traffic and information effectiveness to capture information relative importance and to suggest empirically an order in importance of the ten types of information we investigate. Our dynamic analysis of information traffic reveals a significant increase of investor IT-enabled information search in the post-financial-crisis period. It also shows higher search increases for accounting items that received previously scant investor attention.
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Kim, Kwangsoo, Minseok Kwon, Jaegeun Park, and Yongsoon Eun. "Dynamic Vehicular Route Guidance Using Traffic Prediction Information." Mobile Information Systems 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/3727865.

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We propose a dynamic vehicular routing algorithm with traffic prediction for improved routing performance. The primary idea of our algorithm is to use real-time as well as predictive traffic information provided by a central routing controller. In order to evaluate the performance, we develop a microtraffic simulator that provides road networks created from real maps, routing algorithms, and vehicles that travel from origins to destinations depending on traffic conditions. The performance is evaluated by newly defined metric that reveals travel time distributions more accurately than a commonly used metric of mean travel time. Our simulation results show that our dynamic routing algorithm with prediction outperforms both Static and Dynamic without prediction routing algorithms under various traffic conditions and road configurations. We also include traffic scenarios where not all vehicles comply with our dynamic routing with prediction strategy, and the results suggest that more than half the benefit of the new routing algorithm is realized even when only 30% of the vehicles comply.
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Peng, Jun Long, and Da Wang. "Pre-Warning Information System of Traffic Safety." Advanced Materials Research 368-373 (October 2011): 3320–23. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.3320.

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Traffic safety dynamic trend pre-warning could effectively strengthenmonitoring strength of traffic management department, reduce the number of trafficaccident and ensure highway transportation orderly and smooth. This article analysestrend pre-warning system of traffic safety from the highway operation managementangle. Based on the above analysis, the trend dynamic pre-warning system composition and the information processing method are advanced. The processingmethods in according to the characteristics of road traffic safety, from trend impactsof traffic safety evaluation indicators use six indicators to reflect all aspects ofsecurity potential crises, such as average speed, traffic flow size, etc.
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Auld, Joshua, Omer Verbas, and Monique Stinson. "Agent-Based Dynamic Traffic Assignment with Information Mixing." Procedia Computer Science 151 (2019): 864–69. http://dx.doi.org/10.1016/j.procs.2019.04.119.

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Fleischmann, Bernhard, Stefan Gnutzmann, and Elke Sandvoß. "Dynamic Vehicle Routing Based on Online Traffic Information." Transportation Science 38, no. 4 (November 2004): 420–33. http://dx.doi.org/10.1287/trsc.1030.0074.

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Dissertations / Theses on the topic "Dynamic Traffic Information"

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Staats, Richard C. (Richard Charles). "Integration of predictive routing information with dynamic traffic signal control." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/35433.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
Includes bibliographical references (leaves 306-310).
by Richard C. Staats.
Ph.D.
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Wohlgemuth, Sascha. "Traffic information and dynamic pickup and delivery planning in forwarding agencies." Dortmund Verl. Praxiswissen, 2010. http://d-nb.info/100080853X/04.

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Chang, Mark (Mark Chwanliang) 1975. "Evaluation of dynamic traffic assignment : demand estimation and impacts of traveler information." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80588.

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Ahmed, Afzal. "Integration of real-time traffic state estimation and dynamic traffic assignment with applications to advanced traveller information systems." Thesis, University of Leeds, 2015. http://etheses.whiterose.ac.uk/9420/.

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Accurate depiction of existing traffic states is essential to devise effective real-time traffic management strategies using Intelligent Transportation Systems (ITS). Existing applications of Dynamic Traffic Assignment (DTA) methods are mainly based on either the prediction from macroscopic traffic flow models or measurements from the sensors and do not take advantage of traffic state estimation techniques, which produce estimate of the traffic states with less uncertainty than the prediction or measurement alone. On the other hand, research studies highlighting estimation of real-time traffic state are focused only on traffic state estimation and have not utilized the estimated traffic state for DTA applications. This research introduces a framework which integrates real-time traffic state estimate with applications of DTA to optimize network performance during uncertain traffic conditions through traveller information system. The estimate of real-time traffic states is obtained by combining the prediction of traffic density using Cell Transmission Model (CTM) and the measurements from the traffic sensors in Extended Kalman Filter (EKF) recursive algorithm. The estimated traffic state is used for predicting travel times on available routes in a traffic network and the predicted travel times are communicated to the commuters by a variable message sign (VMS). In numerical experiments, the proposed estimation and information framework is applied to optimize network performance during traffic incident on a two route network. The proposed framework significantly improved the network performance and commuters’ travel time when compared with no-information scenario during the incident. The application of the formulated methodology is extended to model day-to-day dynamics of traffic flow and route choice with time-varying traffic demand. The day-to-day network performance is improved by providing accurate and reliable traveller information. The implementation of the proposed framework through numerical experiments shows a significant improvement in daily travel times and stability in day-to-day performance of the network when compared with no-information scenario. The use of model based real-time traffic state estimation in DTA models allows modelling and estimating behaviour parameters in DTA models which improves the accuracy of the modelling process. In this research, a framework is proposed to model commuters’ level of trust in the information provided which defines the weight given to the information by commuters while they update their perception about expected travel time. A methodology is formulated to model and estimate logit parameter for perception variation among commuters for expected travel time based on measurements from traffic sensors and estimated traffic state. The application of the proposed framework to a test network shows that the model accurately estimated the value of logit parameter when started with a different initial value of the parameter.
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Özbay, Kaan. "A dynamic traffic simulation/assignment model in the context of Advanced Driver Information Systems /." This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10222009-125053/.

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Ozbay, Kaan. "A dynamic traffic simulation/assignment model in the context of Advanced Driver Information Systems." Thesis, Virginia Tech, 1991. http://hdl.handle.net/10919/45254.

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Growing congestion problems of many metropolitan areas which cause excessive traffic delay, instability of travel time generated the need for the development of an Intelligent Vehicle Highway System (IVHS) program that is capable of making significant improvements in mobility, highway safety, and productivity on highways and urban streets. The success of such real time control system highly depends on the new methods that address dynamic traffic assignment. Thus there is an urgent need for an effective dynamic assignment model. The main objective of this research is to emphasize the importance of dynamic traffic assignment for Advanced Driver Information Systems (ADIS) which is one of the major components of IVHS and to present a practical traffic assignment model that is capable of running in real time and which can accurately predict link travel times, queue build up, and network performance. DYNTRAS (DYNamic Traffic Simulation Assignment), a simulation /assignment model is developed. The model uses an incremental loop that assigns a portion of the Origin-Destination matrix, and simulates the movement of the vehicles. Then, it updates travel times and assigns an additional portion of the O-D matrix. In contrast to traditional traffic assignment models like "capacity restraint" and “incremental assignment" techniques that do not consider time dimension, DYNTRAS incorporates time as a third dimension by keeping track of the vehicle movements in time. As a result, it is capable of predicting time-dynamic impacts of congestion and effects of diverted traffic on traffic flow more realistically. The model is applied to a test network. “Several experimental factors are varied to test the sensitivity of the model. The results obtained are presented and general conclusions are derived. The differences between dynamic and static traffic assignment results are also discussed by considering results obtained from both methods. The model needs to be calibrated using real traffic data. According to the results obtained, it needs to be validated. In addition, its long computation time should be reduced to be able to use it for real time applications.
Master of Science
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Löfås, Peter. "Advanced Traffic Service." Thesis, Linköping University, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-374.

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More and more travellers use navigation-aid software to find the way while driving. Most of todays systems use static maps with little or no information at all about currently yeilding roads conditions and disturbances in the network. It is desirable for such services

in the future to include information about road works, accidents, surface conditions and other types of events that affects what route is currently the best.

It is also desirable to notify users about changes in the prerequisites of the chosen route after they have started their trip.

This thesis investigates methods to include dynamic traffic information in route calculations and notifying users when the characteristics change for their chosen route.

The thesis utilizes dynamic traffic information from The Swedish Road Agencys (Vägverket) central database for traffic information, TRISS and calculates affected clients with help of positioning through the GSM network.

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Kontothanasis, Epameinondas. "Dynamic Optical Resource Allocation in Transport Networks Based on Mobile Traffic Patterns." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207139.

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Mobile traffic increases rapidly. Based on Ericsson’s forecast [1], mobile traffic is expected to grow at a compound annual growth rate on percentage of 45% as the number of smartphone subscriptions and the consumption per subscriber increase. The monthly data traffic volume is expected to grow 6 times between 2015 and 2021. As demand increases, new technologies are investigated and deployed to cover the user requirements. Intense effort is given by researchers for the arrival of fifth generation (5G) network. High performance and increased capacity requirements drive research to heterogeneous networks. With the term “heterogeneous network”, a network that consists of different technologies and architectures is described. A heterogeneous wireless network involves the combination of macro and micro cells to improve coverage and capacity. All the traffic generated from the mobile network should be transferred from the antenna, through an access network, to the main office and from there to the backbone network. Optical networks are considered as the ideal solution for this purpose and research drives technology towards the usage of optical networks in the Fixed Mobile Convergence (FMC) architectures. The FMC architectures are proposed architectures [2] that focus to converge the fixed, mobile access and aggregation networks into a single transport network. In this study, we analyze the FMC architecture. We particularly analyze the Fronthaul architecture in combination with transport technologies such as Next Generation – Passive Optical Network 2 (NG-PON2) and Wavelength Routed Wavelength Division Multiplexing PON (WR-WDM-PON). We also take under consideration traffic patterns of mobile networks generated in various urban areas in the city of Stockholm, based in different use of land. Based on the traffic pattern, the number of small cells needed per area is calculated. In this thesis project, the traffic patterns from the mobile network and the transport network architectures are studied. The purpose of this thesis is to create an algorithm and study different sharing scenarios of the underlying transport infrastructure. The results of this algorithm will reveal if sharing and reusing resources in the transport infrastructure is beneficial in terms of saving resources.
Mobiltrafik ökar snabbt. Baserat på Ericssons prognos [1], väntas mobiltrafiken få en årlig tillväxttakt på 45% i samband med att antalet smartphone-abonnemang och förbrukning per abonnent ökar. Den månatliga volymen av datatrafik väntas att öka sexfaldigt mellan 2015 och 2021. Allteftersom efterfrågan ökar, undersöks och distribueras ny teknik för att möta användarnas krav. Intensivt forskningsarbetearbete bedrivs inför av femte generationens (5G) nätverk. Högt ställda krav på prestanda och kapacitet är de drivande faktorerna i forskningen av heterogena nätverk. Med heterogena nätverk menas nätverk som består av olika teknologier och arkitekturer. Ett heterogent trådlöst nätverk involverar kombinationen av makrooch mimkroceller för att förbättra täckning och kapacitet. All trafik som genereras i mobila nätverk ska överföras från antennen, genom ett accessnät, till huvudkontoret, och därifrån till backbone-nätverket. Optiska nätverk betraktas som den idealiska lösningen för detta ändamål, och forskare driver teknologin mot användning av optiska nätverk i Fixed Mobile Convergence(FMC) arkitekturer. FMC arktekturer är föreslagna arkitekturerna som fokuserar på att konvergera fasta, mobila och aggregerings-nätverk till ett enda transportnät. I denna studie, analyserar vi FMC-arkitekturen. Vi analyserar särskilt Fronthaul-arkitekturen i kombination med transportteknologier, så som Next Generation Passive Optical Network 2 (NG-PON2) och Wavelength Routed Wavelength Division Multiplexing PON (WR-WDM-PON). Vi tar också hänsyn till trafikmönster i mobila nätverk i olika sorters urbana områden i Stockholm. Baserat på trafikmönstret räknas antalet små celler som behövs per område ut. I detta examensarbete är det trafikmönster från mobila nätverk och transportnätverksarkitekturer som studeras. Syftet med denna avhandling är att skapa en algoritm, och studera olika olika scenarion där den underliggande transportinfrastrukturens resurser delas. Resultatet av denna algoritm avslöjar om delning och återanvändning av resurser i transportnätverket är fördelaktigt när det gäller att spara resurser.
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Tarhan, Faik Aras. "Distance Adaptive Shared Path Protection for Elastic Optical Networks under Dynamic Traffic." Thesis, KTH, Programvaruteknik och Datorsystem, SCS, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-141703.

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Recently, the internet traffic demand has been compoundly rising up as a result of the increase in the number of users as well as data demand per user. That is why, Elastic Optical Networks (EONs), which employ Orthongonal Frequency Division Multiplexing (OFDM) , have been proposed to scale the demands by efficiently utilizing the spectrum as they provide finer spectrum granularity and distance adaptive modulation formatting. Not only efficiency and scalability but also survivability of the network is significant since even a single-link failure may cause huge volume of data considering that even a channel bandwidth may vary between 1 Gb/s and 1Tb/s. Hence, we propose a heuristic algorithm to increase the spectrum efficiency in EONs employing Shared Path Protection (SPP) as the recovery scheme provided that the traffic demand is dynamic and the modulation format is distance adaptive. Our algorithm, Primary First-Fit Modified Backup Last-Fit (PF-MBL), follows two step approach for Routing and Spectrum Assignment (RSA). In the first step, k-shortest path algorithm is applied and candidates paths are found regardless of spectrum availability for routing. In the second step, spectrum is assigned to working paths and backup paths starting from the different ends of the links’ frequency domain so as to group working and backup path resources separately. In working path spectrum assignment, First-Fit strategy is employed. In backup path spectrum assignment, the algorithm chooses a path according to a formula among candidate paths with available spectrum widths found by Last-Fit strategy. In this manner, we expect to provide less fragmented spectrum for backup paths as well as the network, thereby increasing their sharability and thus the spectrum efficiency. We compare our algorithm and the two current solutions by simulations. Results show that PF-MBL can improve the performance in terms of blocking and bandwidth blocking probability by 24% up to 59% compared to the current outperforming algorithm when the bandwidth acceptance ratio of the system varies from 90% to 99.9% in different loads. Moreover, it achieves between 41% to 59% savings over the current outperforming algorithm when the bandwidth acceptance ratio of the system varies from 99% to 99.9%.
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Johansson, Valentin. "Dynamiskt trafikljussystem : För aktiv säkerhet- och automatiserad fordonstestning." Thesis, Linköpings universitet, Elektroniska Kretsar och System, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157495.

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This thesis involved developing a traffic light system using a single-board computer that is adaptable for different test scenarios of autonomous vehicles at AstaZero. Today there exists a need for using traffic lights in the testing of autonomous vehicles, which the currently existing traffic light systems are not adapted for. This raises the need for developing a traffic light system that is simple enough, but has enough functionality for tests of autonomous vehicles. The traffic light system has to be adaptable to various tests of vehicles, be portable, robust, energy efficient and easy to set up and use through AstaZero's control server. The work began with studying science articles and creating a system- and function design as a template for the traffic light system. When the system was implemented experiments were conducted on energy consumtion and robustness. The finished traffic light system proved to meet the requirements set at the beginning of the thesis and has shown great potential for future development. It was also stated that it is necessary to carry out further testing on the traffic light system in order to verify the robustness and make the energy consumtion more efficient.
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Books on the topic "Dynamic Traffic Information"

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Boyle, Linda. Effectiveness of safety and public service announcement (PSA) messages on dynamic message signs (DMS). Washington, D.C: U.S. Department of Transportation, Federal Highway Administration, 2014.

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Thurner, Stefan, Peter Klimek, and Rudolf Hanel. Introduction to the Theory of Complex Systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198821939.001.0001.

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This book is a comprehensive introduction to quantitative approaches to complex adaptive systems. Practically all areas of life on this planet are constantly confronted with complex systems, be it ecosystems, societies, traffic, financial markets, opinion formation, epidemic spreading, or the internet and social media. Complex systems are systems composed of many elements that interact with each other, which makes them extremely rich dynamical systems showing a huge range of phenomena. Properties of complex systems that are of particular importance are their efficiency, robustness, resilience, and proneness to collapse. The quantitative tools and concepts needed to understand the co-evolutionary nature of networked systems and their properties are challenging. The intention of the book is to give a self-contained introduction to these concepts so that the reader will be equipped with a conceptual and mathematical toolset that allows her to engage in the science of complex systems. Topics covered include random processes of path-dependent processes, co-evolutionary dynamics, the statistics of driven nonequilibrium systems, dynamics of networks, the theory of scaling, and approaches from statistical mechanics and information theory. The book extends well beyond the early classical literature in the field of complex systems and summarizes the methodological progress over the past twenty years in a clear, structured, and comprehensive way. The book is intended for natural scientists and graduate students.
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Book chapters on the topic "Dynamic Traffic Information"

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Isa, Norulhidayah, Azlinah Mohamed, and Marina Yusoff. "Implementation of Dynamic Traffic Routing for Traffic Congestion: A Review." In Communications in Computer and Information Science, 174–86. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-936-3_17.

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Pu, Hongjun. "Dynamic eHorizon with Traffic Light Information for Efficient Urban Traffic." In Advanced Microsystems for Automotive Applications 2015, 15–24. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20855-8_2.

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Seok, Yongho, Youngseok Lee, Yanghee Choi, and Changhoon Kim. "Dynamic Constrained Traffic Engineering for Multicast Routing." In Information Networking: Wired Communications and Management, 278–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45803-4_26.

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Kucharski, Rafał, and Guido Gentile. "Modeling Information Spread Processes in Dynamic Traffic Networks." In Communications in Computer and Information Science, 317–28. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49646-7_27.

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Fan, Wenjun, Zhihui Du, David Fernández, and Xinning Hui. "Dynamic Hybrid Honeypot System Based Transparent Traffic Redirection Mechanism." In Information and Communications Security, 311–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29814-6_26.

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Parmar, Rajendra S., and Bhushan H. Trivedi. "Computation of Dynamic Signal Phases for Vehicular Traffic." In Advances in Data and Information Sciences, 3–17. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8360-0_1.

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Avallone, Stefano, Fernando Kuipers, Giorgio Ventre, and Piet Van Mieghem. "Dynamic Routing in QoS-Aware Traffic Engineered Networks." In IFIP International Federation for Information Processing, 45–58. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-31170-x_4.

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Helbing, Dirk. "Dynamic Decision Behavior and Optimal Guidance Through Information Services: Models and Experiments." In Human Behaviour and Traffic Networks, 47–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-07809-9_3.

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Hu, Rong, Ye Xia, and Fang-jun Kuang. "Real-Time Path Planning Based on Dynamic Traffic Information." In Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications, 388–93. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68527-4_42.

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Xu, Xiang, and Rong Hu. "Dynamic Traffic Information Estimation Based on Floating Car Data." In Advances in Smart Vehicular Technology, Transportation, Communication and Applications, 123–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04585-2_15.

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Conference papers on the topic "Dynamic Traffic Information"

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Mohd Zulkefli, Mohd Azrin, Jianfeng Zheng, Zongxuan Sun, and Henry Liu. "Hybrid Powertrain Optimization With Real-Time Traffic Information." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3919.

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Combining hybrid powertrain optimization with traffic information has been researched before, but tradeoffs between optimality, driving-cycle sensitivity and speed of calculation have not been cohesively addressed. Optimizing hybrid powertrain with traffic can be done through iterative methods such as Dynamic Programming (DP), Stochastic-DP and Model Predictive Control, but high computation load limits their online implementation. Equivalent Consumption Minimization Strategy (ECMS) and Adaptive-ECMS were proposed to minimize computation time, but unable to ensure real-time charge-sustaining-operation (CS) in transient traffic environment. Others show relationship between Pontryagin’s Minimum Principles (PMP) and ECMS, but iteratively solve the CS-operation problem offline. This paper proposes combining PMP’s necessary conditions for optimality, with sum-of State-Of-Charge-derivative for CS-operation. A lookup table is generated offline to interpolate linear mass-fuel-rate vs net-power-to-battery slopes to calculate the equivalence ratio for real-time implementation with predicted traffic data. Maximum fuel economy improvements of 7.2% over Rule-Based is achieved within a simulated traffic network.
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Gilbert, R. Kent, and Quentin Holmes. "Dynamic Traffic Information from Remote Video Monitors." In Vehicle Navigation & Instrument Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1991. http://dx.doi.org/10.4271/912755.

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"Dynamic traffic information from remote video monitors." In 1991 Vehicle Navigation and Information Systems Conference. IEEE, 1991. http://dx.doi.org/10.1109/vnis.1991.205767.

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Van Eeden, P. G. M. A. "Dynamic route information in the Netherlands: effects and research." In Eighth International Conference on Road Traffic Monitoring and Control. IEE, 1996. http://dx.doi.org/10.1049/cp:19960307.

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Shao, Yunli, and Jackeline Rios-Torres. "Traffic Prediction for Merging Coordination Control in Mixed Traffic Scenarios." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3219.

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Abstract Connected and autonomous vehicles (CAVs) have the potential to bring in safety, mobility, and energy benefits to transportation. The control decisions of CAVs are usually determined for a look-ahead horizon based on previewed traffic information. This requires an effective prediction of future traffic conditions and its integration with the CAV control framework. However, the short-term traffic prediction using information from connectivity is a challenging research topic, especially for mixed traffic scenarios. This work focuses on the development of a traffic prediction framework for a merging coordination controller. The previously developed merging controller coordinates the merging sequence and travel speed of CAVs to maximize the energy efficiency and overall mobility. In mixed traffic scenarios, the controller receives information regarding the position of all the vehicles traveling inside a control zone and controls the desired speed of all CAVs. The controller has no control on the human-driven vehicles. The merging controller does not have direct information or an explicit prediction on the behaviors of human-driven vehicles. Aiming to improve the performance of the merging controller in various mixed traffic conditions, a traffic prediction algorithm is developed and evaluated in this work. The performance of this traffic prediction algorithm is investigated for various penetration rates of connectivity for a single-lane secondary road merging to a single-lane primary road. The results show that compared to a constant speed assumption of human-driven vehicles, the proposed traffic prediction algorithm is able to reduce the prediction error of the arrival time of human-driven vehicles at the merging zone by more than 50%.
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Vögele, Ulrich, and Christian Endisch. "Predictive Vehicle Velocity Control using Dynamic Traffic Information." In SAE 2016 World Congress and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2016. http://dx.doi.org/10.4271/2016-01-0121.

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Ke-liang, Ding, and Wang Hai-tao. "A New Algorithms for Dynamic Traffic Information Collection." In 2009 Second International Conference on Intelligent Computation Technology and Automation. IEEE, 2009. http://dx.doi.org/10.1109/icicta.2009.571.

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Tian, Daxin, Yunpeng Wang, Guangquan Lu, Guizhen Yu, and He Liu. "A Dynamic Traffic Information System Based on VANETs." In First International Conference on Transportation Information and Safety (ICTIS). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41177(415)113.

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Uno, Nobuhiro, Yasunori Iida, and Seiichiro Kawaratani. "Effects of Dynamic Information System on Travel Time Reliability of Road Network." In International Conference on Traffic and Transportation Studies (ICTTS) 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40630(255)127.

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Halaoui, Hatem F. "Smart Traffic Systems: Dynamic A*Traffic in GIS Driving Paths Applications." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.1091.

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Reports on the topic "Dynamic Traffic Information"

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Li, Howell, Enrique Saldivar-Carranza, Jijo K. Mathew, Woosung Kim, Jairaj Desai, Timothy Wells, and Darcy M. Bullock. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317212.

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Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehicles have accelerometers, anti-lock brake (ABS) and traction control systems. This data can be read from the Controller Area Network (CAN) of the vehicle, and combined with GPS coordinates and cellular connectivity, can provide valuable on-the-ground sampling of vehicle dynamics at the onset of a storm. We are rapidly entering an era where this vehicle data can provide an agency with opportunities to more effectively manage their systems than traditional procedures that rely on fixed infrastructure sensors and telephone reports. This data could also reduce the density of roadway weather information systems (RWIS), similar to how probe vehicle data has reduced the need for micro loop or side fire sensors for collecting traffic speeds.
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