- Article
Urban Rail Transit Passenger Flow Forecasting Method Based on the Coupling of Artificial Fish Swarm and Improved Particle Swarm Optimization Algorithms
- Yuan Yuan,
- Chunfu Shao,
- Zhichao Cao,
- Wenxin Chen,
- Anteng Yin,
- Hao Yue and
- Binglei Xie
Urban rail transit passenger flow forecasting is an important basis for station design, passenger flow organization, and train operation plan optimization. In this work, we combined the artificial fish swarm and improved particle swarm optimization (...

