Agent-Based Crowd Simulation of Daily Goods Traditional Markets

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Purba D. Kusuma 1,2,* Azhari 1 Reza Pulungan 1

1. Department of Computer Science and Electronics, Universitas Gadjah Mada, Yogyakarta, Indonesia

2. Department of Electrical Engineering, Telkom University, Bandung, Indonesia

* Corresponding author.


Received: 1 Feb. 2016 / Revised: 14 May 2016 / Accepted: 1 Jul. 2016 / Published: 8 Oct. 2016

Index Terms

Crowd, simulation, traditional market, intelligent agent


In traditional market, buyers are not only moving from one place to another, but also interacting with traders to purchase their products. When a buyer interacts with a trader, he blocks some space in the corridor. Besides, while buyers are walking, they may be attracted by non-preferred traders, though they may have preferred traders. These situations have not been covered in most existing crowd simulation models. Hence, these existing models cannot be directly implemented in traditional market environments since they mainly focus on crowd members’ movement. This research emphasizes on a crowd model that includes simplified movement and unplanned purchasing models. This model has been developed based on intelligent agent concept, where each agent represents a buyer. Two traditional markets are used for simulation in this research, namely Gedongkuning and Ngasem, in Yogyakarta, Indonesia. The simulation shows that some places are visited more frequently than others. Overall, the simulation result matches the situation found in the real world.

Cite This Paper

Purba D. Kusuma, Azhari, Reza Pulungan, "Agent-Based Crowd Simulation of Daily Goods Traditional Markets", International Journal of Intelligent Systems and Applications (IJISA), Vol.8, No.10, pp.1-10, 2016. DOI:10.5815/ijisa.2016.10.01


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