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Traffic-flow-prediction systems based on upstream traffic

Proceedings of VNIS'94 - 1994 Vehicle Navigation and Information Systems Conference, 2002
Network-based model were developed to predict short term future traffic volume based on current traffic, historical average, and upstream traffic. It is presumed that upstream traffic volume can be used to predict the downstream traffic in a specific time period.
A.G. Hobeika, null Chang Kyun Kim
openaire   +1 more source

Dynamic Traffic Prediction Based on Traffic Flow Mining

2006 6th World Congress on Intelligent Control and Automation, 2006
ITS technology collects a large of historical traffic flow data that may provide information for the support and improvement of traffic control. Data mining technique is appropriate to analysis the large amount of ITS data to acquire useful traffic pattern. We present a dynamic traffic prediction model, the model deals with traffic flow data to convert
null Yaqin Wang   +3 more
openaire   +1 more source

Prediction Traffic Flow with Combination Arima and PageRank

2020
Modern traffic network information is similar to the complex network structure in that the links between the sections are quite complex. Therefore, predicting the traffic flow between sections can effectively relieve traffic congestion. To solve this problem, this paper proposes a combined model of Arima and PageRank to predict the traffic flow of each
Cheng-Fan Li   +2 more
openaire   +1 more source

Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data

IEEE Transactions on Intelligent Transportation Systems, 2014
Obtaining accurate information about current and near-term future traffic flows of all links in a traffic network has a wide range of applications, including traffic forecasting, vehicle navigation devices, vehicle routing, and congestion management. A major problem in getting traffic flow information in real time is that the vast majority of links is ...
Abadi, A.   +5 more
openaire   +3 more sources

A Geomagnetic Sensor Dataset for Traffic Flow Prediction

2022 IEEE International Conference on Big Data (Big Data), 2022
Huanchen Wang   +6 more
openaire   +1 more source

Traffic Flow Indicator: Predicting Jams in a City

2022 26th International Conference Information Visualisation (IV), 2022
João Vaz   +3 more
openaire   +1 more source

Spatio-Temporal AutoEncoder for Traffic Flow Prediction

IEEE Transactions on Intelligent Transportation Systems, 2023
Mingzhe Liu 0002   +5 more
openaire   +1 more source

Traffic Flow Prediction: An Approach for Traffic Management

2022
Utkarsh Jha   +3 more
openaire   +1 more source

Traffic Flow Modeling to Improve Traffic State Prediction

2014
In this research, the relationship between microscopic car-following models and macroscopic models has been explored and it was found that, based on the traditional assumption that traffic density is the reverse of space headway under steady-state homogeneous traffic conditions, most of the existing macroscopic speed-density relations can be derived ...
openaire   +1 more source

A Flow Feedback Traffic Prediction Based on Visual Quantified Features

IEEE Transactions on Intelligent Transportation Systems, 2023
Jing Chen, Wenqiang Xu, Daping Li
exaly  

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