Traffic Data
A probabilistic framework for traffic data quality
... of traffic data quality in ITS: i) what exactly is "traffic data quality"? and, related to that, ii) how can the incomparableness and inconsistency of results from different ...
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Survey of the High Volume Network Traffic Data Monitoring
... generating traffic, the same methodology is easily extensible to study other application- level protocols and mixes, packet-level models are simple and easily applicable to traffic simulations that can be ...
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SPATIAL EXTRAPOLATION OF ANISOTROPIC ROAD TRAFFIC DATA
... of traffic data is proposed. The traffic data is given by GPS signals over downtown Berlin sent by approximately 300 ...the traffic situation at a given time spatially, i.e., in the ...
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The Colorado Traffic Data Warehouse Sharing Traffic Data Across Governmental Agencies
... E-470 Toll Authority Continuous 5. City of Loveland Short-duration 40[r] ...
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Estimating and Diverting the Route by Using Traffic Data over Big Data
... historical data-ing traffic reports yet neither graphical nor statistical representations are available, except for black/ white map as the one shown in Figure3, which is a representation of their system we ...
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Traffic State Estimation via a Particle Filter with Compressive Sensing and Historical Traffic Data
... With such models it is possible to recursively estimate the traffic states using Kalman filters (KFs) [12]–[15]. Al- ternatively particle filters (PFs), [16], [17], have also been successfully applied to ...
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Traffic Data Collection for Floating Car Data Enhancement in V2I Networks
... the data collected in FCD ...the data provided by regular FCD systems (global location, speed, and direction), obtaining a more detailed description of the local tra ffi c load and the average ...the ...
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Comparison of traffic reliability index with real traffic data
... Existing studies have developed different indices based on various approaches including network connectivity, delay time and flow capacity, estimating the traffic reliability states from different angles. However, these ...
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Rule Based Approach for Sentiment Analysis of Traffic Data
... collected data, stemming and predicts the polarity of a sentence or document by analysing the occurring patterns of such words in text by applying rules on ...
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Real traffic-data based evaluation of vehicular traffic environment and state-of-the-art with future issues in location-centric data dissemination for VANETs
... VANETs have been considered as one of the most dynamic net- works in terms of communication environments. Because of the highly dynamic tra ffi c environments, the performance of any geocast routing protocol completely ...
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Traffic Data Analysis on Sathorn Road with Synchro Optimization and Traffic Simulation
... optimize traffic signal timing for each intersection on Sathorn Road: Sathorn-Surasak, Narinthorn, and Wittayu ...educate traffic police during critical periods along with reducing travel time for each ...
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Multimodal Interpretation and Analysis of Traffic Survey Data
... road traffic data which includes the vehicular count, pedestrian count, ...area. Traffic survey have of many types categorised under manual count and automatic ...of traffic count performed ...
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Traffic flow data mining based on cloud computing
... facing traffic congestion, rising accident rate and low traffic ...Advanced traffic flow control methods are introduced to increase throughput and safety of existing road ...road traffic ...
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Business and data process reengineering for traffic volume data
... the data inputs and outputs of the manual elements. Traffic data analysts perform evaluative and judgmental assessments of the data inputs using a variety of tools to identify data ...
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Application of Data Mining in Air Traffic Forecasting
... air traffic forecasting process is split into two ...in traffic change at individual airports, with the most recent airline schedules obtained from T-100 segment ...
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Data mining approach for predicting the daily Internet data traffic of a smart university
... Internet traffic measurement and analysis generate dataset that are indicators of usage trends, and such dataset can be used for traffic prediction via various statistical analy- ...internet traffic ...
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Spatiotemporal Traffic Prediction using Semantic Traffic Analytics and Reasoning(STAR) With Big Data Environment
... energy; traffic congestion wastes ...the traffic congestion problem through mathematical models, simulation studies and field ...which traffic information can be derived ...real-time traffic ...
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A Model to Harness Heterogeneous Data for Urban Traffic Services
... real-time traffic information provides significant convenience to road users and city traffic ...for traffic congestion are rarely and fully ...heterogeneous data from different sources, ...
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A Big Data Approach for Traffic Classification using Data Mining
... for traffic classification, knowledge discovery for network data is performed in college campus, which involves some steps which should be taken for carefully which leads to generate large network ...
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Analysis of trend in vehicular traffic flow data in Dublin
... 2 hours and 3 hours using Discrete Wavelet Transform (DWT) with Daubechie-4 wavelet basis as described in section II. The approximation obtained at the third level is considered as the optimum level of approximation. The ...
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