A multi-class urban traffic model considering heterogeneous vehicle composition: An extension of the S model-Reference-Cited by-同舟云学术

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A multi-class urban traffic model considering heterogeneous vehicle composition: An extension of the S model

Published:2020-06 Issue: Volume:115 Page:102613
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Portilla C.,Espinosa J.,De Schutter B.

Funder

COLCIENCIAS

SAPIECIA-ENLAZAMUNDOS 2016

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference43 articles.

1. Developing tools for building simulation scenarios for SUMO based on the SCRUM methodology;Acosta,2015

2. A new methodology to calibrate the congestion wave for the cell transmission model for urban traffic;Adacher,2015

3. Analysis of generalized pattern searches;Audet;SIAM J. Optim.,2007

4. A cell automation traffic flow model for mixed traffic;Chen;Procedia - Social Behav. Sci.,2013

5. Handbook of Genetic Algorithms,1991

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2. Traffic state estimation incorporating heterogeneous vehicle composition: A high-dimensional fuzzy model;Frontiers of Engineering Management;2024-06-20

3. Spatial-temporal traffic performance collaborative forecast in urban road network based on dynamic factor model;Expert Systems with Applications;2023-09

4. Controlling Traffic Congestion in Urbanised City: A Framework Using Agent-Based Modelling and Simulation Approach;ISPRS International Journal of Geo-Information;2023-05-31

5. An optimization model and traffic light control scheme for heterogeneous traffic systems;Transportation Research Part C: Emerging Technologies;2021-03

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