Real-time urban traffic state estimation with A-GPS mobile phones as probes
S Tao, V Manolopoulos… - Journal of …, 2012 - diva-portal.org
This paper presents a microscopic traffic simulation-based method for urban traffic state
estimation using Assisted Global Positioning System (A-GPS) mobile phones. In this …
estimation using Assisted Global Positioning System (A-GPS) mobile phones. In this …
[PDF][PDF] Adaptive Kalman filter based freeway travel time estimation
Recent advances in vehicle-based surveillance technologies using Global Positioning
Systems (GPS) promise high accuracy traffic information; however, their performance in field …
Systems (GPS) promise high accuracy traffic information; however, their performance in field …
Probe vehicle-based traffic state estimation method with spacing information and conservation law
T Seo, T Kusakabe - Transportation Research Part C: Emerging …, 2015 - Elsevier
This paper proposes a method of estimating a traffic state based on probe vehicle data that
contain spacing and position of probe vehicles. The probe vehicles were assumed to …
contain spacing and position of probe vehicles. The probe vehicles were assumed to …
Support vector machine technique for the short term prediction of travel time
L Vanajakshi, LR Rilett - 2007 IEEE Intelligent Vehicles …, 2007 - ieeexplore.ieee.org
A vast majority of urban transportation systems in North America are equipped with traffic
surveillance systems that provide real time traffic information to traffic management centers …
surveillance systems that provide real time traffic information to traffic management centers …
Real-time measurement of travel time delay in work zones and evaluation metrics using bluetooth probe tracking
RJ Haseman, JS Wasson… - Transportation research …, 2010 - journals.sagepub.com
This paper describes the collection and use of 1.4 million travel time records that were
collected over a 12-week period in 2009 to evaluate and communicate quantifiable travel …
collected over a 12-week period in 2009 to evaluate and communicate quantifiable travel …
Traffic prediction using multifaceted techniques: A survey
Road transportation is the largest and complex nonlinear entity of the traffic management
system. Accurate prediction of traffic-related information is necessary for an effective …
system. Accurate prediction of traffic-related information is necessary for an effective …
On the estimation of traffic speeds with deep convolutional neural networks given probe data
F Rempe, P Franeck, K Bogenberger - Transportation research part C …, 2022 - Elsevier
Abstract This paper studies Deep Convolutional Neural Networks (DCNNs) for the accurate
estimation of space–time traffic speeds given sparse data on freeways. Several aspects are …
estimation of space–time traffic speeds given sparse data on freeways. Several aspects are …
[HTML][HTML] Fundamental diagram estimation by using trajectories of probe vehicles
The fundamental diagram (FD), also known as the flow–density relation, is one of the most
fundamental concepts in the traffic flow theory. Conventionally, FDs are estimated by using …
fundamental concepts in the traffic flow theory. Conventionally, FDs are estimated by using …
Bus arrival time prediction: A spatial Kalman filter approach
A Achar, D Bharathi, BA Kumar… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Public transport buses have uncertainties associated with its arrival/travel times, due to
several factors such as signals, dwell times at bus stops, seasonal variations, fluctuating …
several factors such as signals, dwell times at bus stops, seasonal variations, fluctuating …
Improvement of search strategy with k-nearest neighbors approach for traffic state prediction
Having access to the future traffic state information is crucial in maintaining successful
intelligent transportation systems (ITS). However, predicting the future traffic state is a …
intelligent transportation systems (ITS). However, predicting the future traffic state is a …