Public transport vehicle scheduling method considering maximum passenger capacity limitation under epidemic situation propagation

Abstract

The invention discloses a public transport vehicle scheduling method considering maximum passenger capacity limitation under epidemic situation propagation. According to the public transport vehicle scheduling method, different epidemic situation infection rates, inoculation rates and crowd susceptibility degrees can be realized; and under the travel demand level, the urban area bus fleet scheduling and the on-board maximum passenger capacity limitation are optimized to achieve the purposes of minimizing the passenger travel cost and minimizing the newly-added infection curing cost.

Description

technical field [0001] The invention relates to the technical field of public transport vehicle scheduling, in particular to a public transport vehicle scheduling method considering the maximum passenger capacity limit under the spread of an epidemic. Background technique [0002] City buses are the main carriers of commuting travel. Bus travel not only has low cost, large passenger capacity, and priority traffic at intersections, but also has obvious advantages over private car travel in terms of energy conservation, emission reduction, and alleviation of traffic congestion. But at the same time, during the outbreak, the closed indoor environment of buses, the gathering of a large number of susceptible people for a long time, and the many potentially exposed public contact surfaces such as handrails, railings, seats, etc., make the bus a potential place for the spread of the epidemic. For example, in January 2020, 68 people in Ningbo, Zhejiang took the same bus, and 24 peop...

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Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a bus dispatching method that considers the maximum passenger capacity limit under the spread of the epidemic, which solves the problem that the existing bus dispatching method cannot consider different infection rates, vaccinations, etc. The problem of bus operation optimization and preventive measures based on the rate, demand level, and individual characteristics of the traveler

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