LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

The optimization of bus rapid transit route based on an improved particle swarm optimization

Photo from wikipedia

ABSTRACT We present a method for identifying bus rapid transit routes optimized for serving the greatest number of passengers. Because formulating a relevant model is a complex problem, a particle… Click to show full abstract

ABSTRACT We present a method for identifying bus rapid transit routes optimized for serving the greatest number of passengers. Because formulating a relevant model is a complex problem, a particle swarm optimization scheme that improves on previous such approaches is applied. The optimization contains some more advanced strategies, such as dual population, self-adaptive inertia weight, and crossover operation, to enhance the abilities of the algorithm. Data collected from Dalian City, China, are then used for examining the proposed model and the optimization. Computational results demonstrate that the model is feasible and the improved particle swarm optimization is an effective method for optimizing bus rapid transit routes.

Keywords: bus rapid; swarm optimization; particle swarm; optimization; rapid transit

Journal Title: Transportation Letters
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.