An application of SGA: How urban resident acts in making traveling decisions

Abstract

Purpose: To study how urban resident acts in making traveling decisions.

Design/methodology/approach: Simple Genetic Algorithm (SGA)

Findings: Using SGA to make the model of urban resident's decisions is rational.

Research limitations/implications: This study is just about single one and the SGA could be made better.

Originality/value: Use SGA to describe urban resident's traveling behavior, and combine the management problem with the AI.