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Yadan Yan

Researcher at Zhengzhou University

Publications -  16
Citations -  702

Yadan Yan is an academic researcher from Zhengzhou University. The author has contributed to research in topics: Computer science & Headway. The author has an hindex of 7, co-authored 14 publications receiving 544 citations. Previous affiliations of Yadan Yan include Southeast University.

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Bus stop-skipping scheme with random travel time

TL;DR: In this paper, a genetic algorithm incorporating Monte Carlo simulation is proposed to solve the problem of deadheading in a special case of the stop-skipping problem, allowing a bus vehicle to skip stops between the dispatching terminal point and a designated stop.
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Robust optimization model of schedule design for a fixed bus route

TL;DR: Wang et al. as mentioned in this paper proposed a robust optimization model for reliable bus route schedule design problem by taking into account the bus travel time uncertainty and the bus drivers' schedule recovery efforts, which aims to minimize the sum of the expected value of the random schedule deviation and its variability multiplied by a weighting value.
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Robust optimization model of bus transit network design with stochastic travel time

TL;DR: In this paper, a robust optimization model is formulated for the proposed problem, which aims to minimize the sum of the expected value of the operator cost and its variability multiplied by a weighting value.
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Dynamic headway control for high-frequency bus line based on speed guidance and intersection signal adjustment

TL;DR: A dynamic headway control method in the V2I (vehicle to infrastructure) environment for a high-frequency route with bus lane is developed and can reduce bus headway deviations in all investigating periods.
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Electric vehicles: A review of network modelling and future research needs

TL;DR: In this paper, the authors provide a comprehensive review of electric vehicle studies and identify existing research gaps in the aspects of theories, modelling approaches, solution algorithms, and applications and conclude that it is of great importance to take into account electric vehicles' special characteristics (e.g. range limit) in predicting their routing behaviour and charging infrastructure design networks.