A mean-field matrix-analytic method for bike sharing systems under Markovian environment
نویسندگان
چکیده
منابع مشابه
A Mean-Field Matrix-Analytic Method for Bike Sharing Systems under Markovian Environment
To reduce automobile exhaust pollution, traffic congestion and parking difficulties, bike-sharing systems are rapidly developed in many countries and more than 500 major cities in the world over the past decade. In this paper, we discuss a largescale bike-sharing system under Markovian environment, and propose a mean-field matrix-analytic method in the study of bike-sharing systems through comb...
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Bike Sharing Systems became popular in recent years to extend the public transportation network of cities or regions. Most research in this area focuses on finding the optimal locations for bike sharing stations. Still various approaches on how to operate such a system efficiently exist. The usefulness of a bike sharing system strongly depends on the user convenience which is directly connected...
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Bike sharing systems have been recently adopted by a growing number of cities as a new means of transportation offering citizens a flexible, fast and green alternative for mobility. Users can pick up or drop off the bicycles at a station of their choice without prior notice or time planning. This increased flexibility comes with the challenge of unpredictable and fluctuating demand as well as i...
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ژورنال
عنوان ژورنال: Annals of Operations Research
سال: 2021
ISSN: 0254-5330,1572-9338
DOI: 10.1007/s10479-021-04140-x