Next Article in Journal
A Fast and Lightweight Method with Feature Fusion and Multi-Context for Face Detection
Previous Article in Journal
Smart Collection of Real-Time Vehicular Mobility Traces
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Future Internet 2018, 10(8), 79;

Queue Spillover Management in a Connected Vehicle Environment

College of Transportation, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
1221 Engineering Hall, 1415 Engineering Drive, Department of Civil Environmental Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
Author to whom correspondence should be addressed.
Received: 6 July 2018 / Revised: 7 August 2018 / Accepted: 8 August 2018 / Published: 10 August 2018
(This article belongs to the Section Smart System infrastructures and Cybersecurity)
Full-Text   |   PDF [4608 KB, uploaded 14 August 2018]   |  


To alleviate the queue spillovers at intersections of urban roads during rush hours, a solution to the cross-spill problem based on vehicle networking technologies is proposed. This involves using connected vehicle technology, to realize the interactive information on vehicle and intersection signal control. The maximum control distance between intersections is determined by how vehicles are controlled and would travel in that connected environment. A method of calculating overflow tendency towards intersection queuing is also proposed, based on the maximum phase control distance. By this method, the intersection overflow is identified, and then the signal phases are re-optimized according to the requirements of different phases. Finally, overflow prevention control was also performed in this study. The VISSIM simulation results show that the method can better prevent the overflow of queues at intersections. View Full-Text
Keywords: intelligent transportation; connected vehicles; queue spillover; maximum queue length; traffic simulation intelligent transportation; connected vehicles; queue spillover; maximum queue length; traffic simulation

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Ren, C.; Zhang, W.; Qin, L.; Sun, B. Queue Spillover Management in a Connected Vehicle Environment. Future Internet 2018, 10, 79.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Future Internet EISSN 1999-5903 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top