Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/63445
Title: A bus transport system that acquires collective intelligence through information exploitation
Authors: Zhao, Zhuo
Keywords: DRNTU::Science::Physics
Issue Date: 2015
Abstract: This project studies bus systems with periodic boundary conditions using a modified Nagel-Schreckenberg (NaSch) Cellular Automata (CA) simulation model. We propose a self-organising method to control speed of the buses using passenger occupancy information of buses and bus stops. The study was done with road information from the campus of Nanyang Technological University (NTU). The simulation results shows uniform headway of buses, short waiting time of passengers and small variation of waiting time. The model is robust to very strong bunching influence, and recovers from a deliberate jam without human interference. The model is also applicable to other similar bus systems without re-training its parameters.
URI: http://hdl.handle.net/10356/63445
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)

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