[PDF] Top 20 Probabilty hypothesis density filtering for real-time traffic state estimation and prediction

... In [19] and [30] the authors highlight the fact that the PHD filter outperforms the standard approaches such as the KF or the Particle Filter (PF), especially in the way the measurement origin uncertainty is dealt with. ... See full document

... improve estimation of traffic state by using different estimation algorithms and different traffic flow ...estimating traffic state using real-time ... See full document

... Traffic state estimation and prediction is of paramount importance for on-line road traffic management, effi- ciency and ...Vehicular traffic is characterised with highly ... See full document

... the traffic database used, has a clear effect on the performance of velocity ...current traffic data and slight deviations from the historical traffic situation are weighted more and therefore are ... See full document

... existing traffic states is essential to devise effective real-time traffic management strategies using Intelligent Transportation Systems ...Dynamic Traffic Assignment (DTA) methods are ... See full document

... to real-time computing, for example, they require knowledge of the whole piece to perform optimally, or they are too computationally intensive for most embedded ...the real-time implementation ... See full document

... support traffic flow model ...for time ranges from one to thirty minutes into the ...one time preceding were required, equivalent to the use of speed and current acceleration ... See full document

... urban traffic congestion is becoming more prominent, effective control of traffic lights has become the most important means of control of traffic management and control of network ...effective ... See full document

... The Originator Address (OA) is set to 0 to indicate that there are no relays being used, and the Common Address (CA) was arbitrarily chosen to be 3. The Origina- tor and Common addresses were the same for all the packets ... See full document

... of time which results in traffic jam as traffic signals are not efficient to control ...the traffic considering different aspects such as high priority vehicles and density of ... See full document

... Importance sampling is choosing a good distribution from which to simulate one’s random variables. It involves multiplying the integrand by 1 to yield an expectation of quantity that varies less than the original ... See full document

... the state “completely failed”. In each state, the probability of the system transferred to certain failure is ...different state transition ...unit time. Condition monitoring and state ... See full document

... the state of motion of targets is complex and variable, a new adaptive maneuvering target tracking algorithm is ...Kalman filtering under the spherical coordinate system and its counterpart under the ... See full document

... the state space, such as regularization [5] and the MCMC scheme [3] the particles themselves also have to be communicated, and consequently more communication is ... See full document

... traditional prediction models belong to the first category, including historical average and smooth- ing techniques, parametric and non-parametric regres- sion [22-24], autoregressive integrated moving average ... See full document

... In the above derivation of particle filtering, the adopted importance function is known as optimum in the sense that minimizes the variance of the weights. The above particle fil- tering procedure suffers from ... See full document

... ABSTRACT: As of late, advanced following strategies began to permit catching the position of huge quantities of moving objects. Given this data, it is conceivable to break down also, anticipate the movement thickness in ... See full document

... Lastly, Fig 6 depicts the prediction results on estimating the data packet size using the VoIP session as input. Accordingly, in Fig 7 the arrival predictions are illustrated. The observation of these figures lead ... See full document

... transmission zigbee is based on an IEEE 802.15 standard. Data rate is 250 kbits/s and transmission distances range from 10 to 100 meters The transmitted signals from adaptive traffic control and traffic ... See full document

... current state-of-the-practice traffic data collection in most parts of the world is to rely on a network of road-side sensors, ...about traffic flow at fixed points on the road network ...floating ... See full document