Implementing kinematic wave theory to reconstruct vehicle trajectories from fixed and probe sensor data

B Mehran, M Kuwahara, F Naznin - Procedia-Social and Behavioral …, 2011 - Elsevier
A data fusion framework is examined to reproduce vehicle trajectories on urban arterials by
combining probe and fixed sensor data, and signal timing parameters. The methodology is …

Kalman filtering applied to network-based cellular probe traffic monitoring

Z Qiu, B Ran - 2008 - trid.trb.org
Advanced Traveler Information System (ATIS) is one of the important components of
Intelligent Transportation System Architecture, and Cellular Probe Technology is regarded …

Probabilistic model for vehicle trajectories reconstruction using sparse mobile sensor data on freeways

X Shan, P Hao, X Chen… - 2016 IEEE 19th …, 2016 - ieeexplore.ieee.org
Real-world vehicle trajectory data are increasingly used in many applications such as driver
behavior investigation, travel time estimation, and vehicle energy/emission evaluation. Due …

Vehicle trajectory extraction at the exit areas of urban freeways based on a novel composite algorithms framework

Z Liu, J He, C Zhang, X Yan, C Wang… - Journal of Intelligent …, 2023 - Taylor & Francis
The exit areas of urban freeways always experience serious traffic safety and congestion
problems. As a basic task, vehicle trajectory data are difficult to extract by traditional manual …

Real-time freeway traffic state estimation based on extended Kalman filter: a general approach

Y Wang, M Papageorgiou - Transportation Research Part B …, 2005 - Elsevier
A general approach to the real-time estimation of the complete traffic state in freeway
stretches is developed based on the extended Kalman filter. First, a general stochastic …

Traffic behavior recognition from traffic videos under occlusion condition: a Kalman filter approach

J Jiao, H Wang - Transportation research record, 2022 - journals.sagepub.com
Real-time traffic data at intersections is significant for development of adaptive traffic light
control systems. Sensors such as infrared radiation and GPS are not capable of providing …

Vehicle trajectory analysis system via mutual information and sparse reconstruction

Y Zhang, Z Chen, C Wu, J Jiang… - Transportation Research …, 2017 - journals.sagepub.com
In past years, the task of automatic vehicle trajectory analysis in video surveillance systems
has gained increasing attention in the research community. Vehicle trajectory analysis can …

A phase-based smoothing method for accurate traffic speed estimation with floating car data

F Rempe, P Franeck, U Fastenrath… - … Research Part C …, 2017 - Elsevier
In this paper, a novel freeway traffic speed estimation method based on probe data is
presented. In contrast to other traffic speed estimators, it only requires velocity data from …

Vehicle tracking with Kalman filter using online situation assessment

MB Khalkhali, A Vahedian, HS Yazdi - Robotics and Autonomous Systems, 2020 - Elsevier
Vehicle tracking is an attractive problem in the field of public transportation with several
research projects conducted using Kalman filter (KF) to tackle this. While a driver may act on …

Incremental unscented Kalman filter for real-time traffic estimation on motorways using multi-source data

XS Trinh, D Ngoduy, M Keyvan-Ekbatani… - … A: Transport Science, 2022 - Taylor & Francis
Better traffic estimation can be achieved by integrating multiple data sources. However, it is
not an easy task due to many issues such as differences in formats, spatio-temporal …