Q
Qiang Meng
Researcher at National University of Singapore
Publications - 324
Citations - 13372
Qiang Meng is an academic researcher from National University of Singapore. The author has contributed to research in topics: Computer science & Flow network. The author has an hindex of 60, co-authored 281 publications receiving 10684 citations. Previous affiliations of Qiang Meng include Universiti Tunku Abdul Rahman & Hong Kong University of Science and Technology.
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Journal ArticleDOI
Sailing speed optimization for container ships in a liner shipping network
Shuaian Wang,Qiang Meng +1 more
TL;DR: In this article, the authors first calibrates the bunker consumption and sailing speed relation for container ships using historical operating data from a global liner shipping company and then investigates the optimal sailing speed of container ships on each leg of each ship route in a liner shipping network while considering transshipment and container routing.
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Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions
TL;DR: Research on containership routing and scheduling lags behind practice, especially in the face of the fast growth of the container shipping industry and the advancement of operations research and computer technology, so this paper is to stimulate more practically relevant research in this emerging area.
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A decision support system for vehicle relocation operations in carsharing systems
TL;DR: In this article, a three-phase optimization-trend-simulation (OTS) decision support system for carsharing operators to determine a set of near-optimal manpower and operating parameters for the vehicle relocation problem is presented.
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Ship collision risk assessment for the Singapore Strait
Xiaobo Qu,Qiang Meng,Li Suyi +2 more
TL;DR: It can be concluded that Legs 4W, 5W, 11E, and 12E are the most risky legs in the Strait and the ship collision risk reduction solutions should be prioritized being implemented in these four legs.
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An equivalent continuously differentiable model and a locally convergent algorithm for the continuous network design problem
TL;DR: The inherent nature of the CNDP, the marginal function for the lower-level user equilibrium problem is proved to be continuously differentiable and its functional value and derivative in link capacity enhancement can be obtained efficiently by implementing a user equilibrium assignment subroutine.