Contents
What is short term traffic prediction?
Short-term traffic flow prediction is an effective means for intelligent transportation system (ITS) to mitigate traffic congestion. However, traffic flow data with temporal features and periodic characteristics are vulnerable to weather effects, making short-term traffic flow prediction a challenging issue.
What is congestion prediction?
Traffic congestion prediction problem discussed in this paper can be defined as an estimation of parameters related to traffic congestion into the short-term future, e.g., 15 minutes to a few hours by applying different AI methodologies by using collected traffic data.
Do traffic lights use AI?
Thanks to an artificial intelligence algorithm, traffic lights are capable of adapting to traffic, instead of the other way around. Additionally, as with every machine learning system, the traffic lights can learn from their environment and optimize their operations more and more.
Is there a short-term traffic prediction model?
In practice, short-term traffic information has the characteristics of real-time, incompleteness, non-linearity and non-stationary, and few proposed methods could successfully implement this forecasting. In this paper, we proposed a fuzzy Markov prediction model which can estimate the short-term traffic conditions in VCPS in urban environment.
How is traffic prediction used in urban planning?
The traffic prediction could provide better route planning for people and accuracy decision basis for traffic managements. We propose a fuzzy Markov prediction model to estimate the traffic conditions in urban environment, which puts the real-time GPS data into dynamic traffic prediction.
How is the Markov model used in traffic prediction?
In fact, the Markov model has been successfully applied to describe the characteristic of traffic flow; the state to be forecasted is viewed as following a probability distribution, and the probability of the next state is determined by the current and immediately preceding states [8], [9].
Can a traffic prediction model be used in VCPs?
Simulations show our proposed model can be efficiently used for dynamic traffic state prediction in VCPS.