Open Access
Transportation research. part c, emerging technologies
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The article was published on 1993-01-01 and is currently open access. It has received 607 citations till now. The article focuses on the topics: Advanced Traffic Management System & Intelligent transportation system.read more
Citations
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Journal ArticleDOI
Ensemble empirical mode decomposition: a noise-assisted data analysis method
Zhaohua Wu,Norden E. Huang +1 more
TL;DR: The effect of the added white noise is to provide a uniform reference frame in the time–frequency space; therefore, the added noise collates the portion of the signal of comparable scale in one IMF.
Journal ArticleDOI
A review of dynamic vehicle routing problems
TL;DR: This survey classifies routing problems from the perspective of information quality and evolution and presents a comprehensive review of applications and solution methods for dynamic vehicle routing problems.
Journal ArticleDOI
Dynamic vehicle routing problems: Three decades and counting
TL;DR: A taxonomy of DVRP papers is developed according to 11 criteria by developing a comment on technological vis-i-vis methodological advances for this class of problems and suggest directions for further research.
Posted Content
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
TL;DR: A network grid representation method that can retain the fine-scale structure of a transportation network and outperform other deep learning-based algorithms in both short-term and long-term traffic prediction is proposed.
Journal ArticleDOI
Platoon management with cooperative adaptive cruise control enabled by VANET
TL;DR: A platoon management protocol for CACC vehicles based on wireless communication through VANET based on three basic platooning maneuvers and a set of micro-commands to accomplish these maneuvers is developed.
References
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Journal ArticleDOI
Ensemble empirical mode decomposition: a noise-assisted data analysis method
Zhaohua Wu,Norden E. Huang +1 more
TL;DR: The effect of the added white noise is to provide a uniform reference frame in the time–frequency space; therefore, the added noise collates the portion of the signal of comparable scale in one IMF.
Journal ArticleDOI
A review of dynamic vehicle routing problems
TL;DR: This survey classifies routing problems from the perspective of information quality and evolution and presents a comprehensive review of applications and solution methods for dynamic vehicle routing problems.
Journal ArticleDOI
Dynamic vehicle routing problems: Three decades and counting
TL;DR: A taxonomy of DVRP papers is developed according to 11 criteria by developing a comment on technological vis-i-vis methodological advances for this class of problems and suggest directions for further research.
Journal ArticleDOI
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks.
TL;DR: Wang et al. as mentioned in this paper proposed a spatiotemporal recurrent convolutional networks (SRCNs) for traffic forecasting, which inherit the advantages of deep CNNs and LSTM neural networks.
Journal ArticleDOI
Traffic state estimation on highway: A comprehensive survey
TL;DR: A survey of highway TSE methods is conducted, and the recent usage of detailed disaggregated mobile data for the purpose of TSE is summarized, showing two possibilities in order to solve this problem: improvement of theoretical models and the use of data-driven or streaming-data-driven approaches, which recent studies have begun to consider.