Journal Article10.1080/15472450.2012.639637
An Exploratory Shockwave Approach to Estimating Queue Length Using Probe Trajectories
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TL;DR: An innovative approach for signalized intersection performance measurement using probe vehicle trajectory data, focusing on queue length estimation and a threshold-based critical point extraction algorithm, which has the potential to reduce the communication cost in future real-time probe data collection application.
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About: This article is published in Journal of Intelligent Transportation Systems. The article was published on 01 Feb 2012. The article focuses on the topics: Queue & Queueing theory.
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Citations
Urban traffic signal control with connected and automated vehicles: A survey
Qiangqiang Guo,Li Li,Xuegang Ban +2 more
TL;DR: Six types of CAV-based traffic control methods are summarized and a conceptual mathematical framework is proposed that can be specified to each of six three types of methods by selecting different state variables, control inputs, and environment inputs is proposed.
437
A Survey of Traffic Control With Vehicular Communications
TL;DR: In this article, the authors present a survey of early-stage traffic control technologies and discuss potential benefits that will be gained by using vehicle-to-vehicle (V2V) communications.
348
Queue Profile Estimation in Congested Urban Networks with Probe Data
TL;DR: A method to estimate queue profiles that are traffic shockwave polygons in the time-space plane describing the spatiotemporal formation and dissipation of queues is proposed, applicable in oversaturated conditions and includes queue spillover identification.
Connected Vehicle as a Mobile Sensor for Real Time Queue Length at Signalized Intersections.
TL;DR: In mixed traffic environments of connected vehicles and unconnected vehicles, the queuing length sensing model proposed in this paper has higher performance than the probability distribution (PD) model when the penetration rate is low, and it has an almost equivalent performance with higher penetration rate while the penetration rates are not needed.
126
A data fusion approach for real-time traffic state estimation in urban signalized links
TL;DR: A novel data fusion approach is proposed for the high-resolution (second-by-second) estimation of queue length, vehicle accumulation, and outflow in urban signalized links that renders the proposed methodology more robust to varying penetration rates of connected vehicles.
97
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