Qian Wang
State University of New York System
34 Papers
199 Citations
Qian Wang is an academic researcher from State University of New York System. The author has contributed to research in topics: Travel behavior & Road pricing. The author has an hindex of 15, co-authored 34 publications. Previous affiliations of Qian Wang include Rensselaer Polytechnic Institute.
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Papers
The impacts of time of day pricing on the behavior of freight carriers in a congested urban area: Implications to road pricing
TL;DR: In this paper, the impact of time-of-day pricing on the behavior of commercial carriers has been investigated, and the authors found that the response of carriers to the time of day pricing is determined by the balance of power between carriers and receivers.
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A novel variable selection method based on Frequent Pattern tree for real-time traffic accident risk prediction
Lei Lin,Qian Wang,Adel W. Sadek +2 more
TL;DR: The study develops two traffic accident risk prediction models, based on accident data collected on interstate highway I-64 in Virginia, namely a k -nearest neighbor model and a Bayesian network that can predict 61.11% of accidents while having a false alarm rate of 38.16%.
Investigation of Attributes Determining Trip Chaining Behavior in Hybrid Microsimulation Urban Freight Models
Qian Wang,José Holguín-Veras +1 more
TL;DR: In this paper, a hybrid microsimulation modeling framework is proposed to construct goods-related vehicle tours that satisfy a known commodity flow origin-destination (O-D) matrix in an urban freight network.
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Data Mining and Complex Network Algorithms for Traffic Accident Analysis
Lei Lin,Qian Wang,Adel W. Sadek +2 more
TL;DR: The study results indicated that the community detection algorithm was quite effective in identifying clusters with discernible characteristics, and clustering helped unveil relationships and accident causative factors that remained hidden when the analysis was performed on the whole data set, and the association rule learning algorithm yielded useful insight into accident hot spots and incident clearance time along I-190.
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Border crossing delay prediction using transient multi-server queueing models
Lei Lin,Qian Wang,Adel W. Sadek +2 more
TL;DR: In this article, the authors developed multi-server queuing models to estimate border crossing delay in support of a predictive traveler information system for the crossings two classes of multiserver models are considered: (1) models with exponential inter-arrival times and Erlang service times; and (2) a more generic model with a batch Markovian Arrival Process (BMAP) and phase types (PH) services.
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