An uninterrupted reciprocating type flexible line length unmanned bus optimization method

Abstract

The invention discloses an uninterrupted reciprocating type flexible line length unmanned bus optimization method, which comprises the steps that passengers propose bus travel demands, and the demandscomprise a getting-on station, a getting-off station and time information of arriving at the getting-on station; a passenger travel demand received in a time period and the current running state of the unmanned bus are obtained; a stop plan and a turn-around position of an unmanned bus are determined according to a flexible bus model to obtain an optimal driving route and realize minimum travel time of all passengers, and the travel time of the passengers comprises waiting time and riding time; and the unmanned bus executes the optimal driving route and responds to the travel demand of the passenger. According to the invention, in low-density areas and non-commuting periods, the driving scheme can be adjusted according to passenger requirements. The situations of unoccupied driving and too low load factor are reduced. The bus operation cost is reduced, and the problems of low service efficiency and resource waste of the traditional fixed bus when the passenger requirements are low aresolved.

Description

technical field [0001] The invention relates to the field of unmanned public transport and the Internet, in particular to an uninterrupted reciprocating flexible line length optimization method for unmanned public transport. Background technique [0002] In low-density areas or non-commuting periods, passengers have less demand for travel and the distribution of passenger flow is uneven. Therefore, in this case, if the traditional fixed-service bus system with a high service level is maintained, due to its fixed routes, fixed stops, and fixed departure intervals etc., there will be a phenomenon of low full load rate and empty driving, resulting in large operating costs and wasting a lot of resources. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present invention provides an uninterrupted reciprocating flexible route length unmanned bus optimization method. The present invention dynamically updates and adjusts the driving route of the...

AI Technical Summary

Problems solved by technology

[0002] In low-density areas or non-commuting periods, passengers have less demand for travel and the distribution of passenger flow is uneven. Therefore, in this case, if the traditional fixed-service bus system with a high service level is maintained, due to its fixed routes, fixed stops, and fixed departure intervals etc., the phenomenon of low full load rate and empty driving will occur, resulting in large operating costs and wasting a lot of resources

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