Including traffic jam avoidance in an agent-based network model
Abstract Background Understanding traffic is an important challenge in different scientific fields. While there are many approaches to constructing traffic models, most of them rely on origin–destination data and have difficulties when phenomena should be investigated that have an effect on the orig...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-05-01
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Series: | Computational Social Networks |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40649-018-0053-y |