Variable Route Bus Optimization Model Based on AGA-FA

Le résumé fourni par la source

Variable-route public transportation combines the high efficiency and low cost of conventional public transportation and the flexibility of demand-responsive public transportation, which is an effective way to solve the problem of regional public transportation service caused by the uneven distribution of passenger flow density in different areas and at different time periods. Therefore, this paper analyzes the factors affecting the planning of variable-route bus stops, firstly, puts forward a model for evaluating the importance of the stops, and secondly, establishes a bus route optimization model with the goal of minimizing the carbon emissions generated during bus operation and maximizing the level of bus service, and then adopts Adaptive Genetic-Firefly Algorithm (AGA-FA) to solve the model, to search for the optimal layout of the bus stops and the configuration of bus routes. Finally, the sensitivity analysis of passenger demand and bus service area is combined with examples to verify the validity of the model.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.