Multimodal Intelligent Traffic Signal System Simulation Model Development and Assessment
Abstract
Get full access to this article
View all access and purchase options for this article.
References
Cite article
Cite article
Cite article
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In

Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 123
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 10
- Transport Digitalization
- A review of the critical elements and development of real-world connec...
- Autonomous and Semiautonomous Intersection Management: A Survey
- Connected Vehicle Technology for Improved Multimodal Winter Travel: Ag...
- Applications and Trends in Connected Vehicles: Debates and Conclusions
- New Advances in Intelligent Intersection Management with Connected and...
- Transit Priority Signal Control Scheme Considering the Coordinated Pha...
- Deployment and Testing of Optimized Autonomous and Connected Vehicle T...
- Quantitative Analysis of Smooth Progression in Traffic Signal Systems
- Connected Vehicle–Based Adaptive Signal Control and Applications
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
