Analyzing transportation mode interactions using agent-based models
Abstract Traffic in urban areas contributes significantly to congestion and air pollution, which contributes to climate change issues and causes economic losses and fuel wastage. Agent-based models have significant advantages for analyzing urban transportation and its sustainability. The main object...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer
2023-11-01
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Series: | SN Applied Sciences |
Subjects: | |
Online Access: | https://doi.org/10.1007/s42452-023-05609-z |