Multiagent-Based Simulation of Temporal-Spatial Characteristics of Activity-Travel Patterns Using Interactive Reinforcement Learning

Multiagent-Based Simulation of Temporal-Spatial Characteristics of Activity-Travel Patterns Using Interactive Reinforcement Learning

We propose a multiagent-based reinforcement learning algorithm, in which the interactions between travelers and the environment are considered to simulate temporal-spatial characteristics of activity-travel patterns in a city. Road congestion degree is added to the reinforcement learning algorithm a...

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Bibliographic Details
Main Authors: Yang, Min, Yang, Yingxiang, Wang, Wei, Ding, Haoyang, Chen, Jian
Other Authors: Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2015
Online Access:http://hdl.handle.net/1721.1/96101
https://orcid.org/0000-0001-9618-1384

Internet

http://hdl.handle.net/1721.1/96101
https://orcid.org/0000-0001-9618-1384

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