Title

Towards Agent-Based Traffic Simulation Using Live Data from Sensors for Smart Cities

Publication Name

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

The Smart City and Internet-of-Things revolutions enable the collection of various types of data in real-time through sensors. This data can be used to improve the decision tools and simulations used by city planners. This paper presents a new framework for real-time traffic simulation integrating an agent-based methodology with live CCTV and other sensor data while respecting the privacy regulations. The framework simulates traffic flows of pedestrians, vehicles and bicycles and their interactions. The approach has been applied in Liverpool (NSW, Australia) showing promising preliminary results and can easily ingest additional sensor data, e.g. air quality.

Open Access Status

This publication is not available as open access

Volume

12316 LNAI

First Page

28

Last Page

40

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Link to publisher version (DOI)

http://dx.doi.org/10.1007/978-3-030-66888-4_3