Bus stop site selection and layout optimization method based on passenger trip spatial distribution

Abstract

The invention mainly provides a bus stop site selection and layout optimization method based on passenger trip spatial distribution. The bus stop site selection and layout optimization method based on the passenger trip spatial distribution mainly comprises construction of a bus stop site selection optimization model and a solution algorithm thereof. The bus stop site selection optimization model takes minimization of walking distance of all the residents for taking buses as a goal and considers realistic constraint factors such as maximum walking distance between a resident dense point and a bus stop and upper and lower bounds of distance between adjacent stops, the solution algorithm of the bus stop site selection optimization model is a novel hybrid algorithm and combines advantages of a bacterial foraging optimization algorithm and a group random search algorithm, and according to problem characteristics, individual bacterium coding, initial bacterial colony generating, individual bacterium evaluation function generating and bacterial foraging operations are redesigned. The bus stop site selection and layout optimization method based on the passenger trip spatial distribution scientifically and reasonably determines bus stop positions by combining a real road topological structure according to trip spatial distribution characteristics of residents nearby a route, so that resident trips are facilitated, and bus operation efficiency is also improved.

Description

Technical field: [0001] The invention relates to the field of traffic travel, in particular to a method for optimizing the location and layout of bus stops based on the spatial distribution of passenger travel. Background technique: [0002] The bus station is an important supporting node for the operation of the urban bus network. The rationality of its setting determines the convenience of residents' travel and the efficiency of bus operation, which is related to the spatial layout of residents' gathering points, road conditions, walking distance, distance between adjacent stations, etc. . In view of the differences in the travel demand distribution among the residential gathering points near the road, if the number of bus stops is small and the location is not scientifically planned, it may cause the passengers at some stops to walk a long distance; if the layout of the bus stops is dense, it will inevitably lead to Frequent stops by buses reduce the speed of bus operati...

AI Technical Summary

Problems solved by technology

It can be seen from the above that the existing research does not consider the optimization of the location and layout of public transport stops considering the differences in travel needs of residents, and it is impossible to ensure the overall optimal walking distance of passengers at the origin and destination points and boarding stations for the spatial distribution of passengers.

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