APPLICATION OF GENETIC ALGORITHM IN COORDINATION OF VARIABLE SPEED LIMITS AND RAMP METERING

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AFANDIZADEH SH.; HAJMOHAMMADI H.; KALANTARI N.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF TRANSPORTATION RESEARCH Year:2012 | Volume:9 | Issue:3 (32) Page(s): 209-221

Download Full-Text

Persian Verion

View:

976

Download:

Cites:

Information Journal Paper

Title

APPLICATION OF GENETIC ALGORITHM IN COORDINATION OF VARIABLE SPEED LIMITS AND RAMP METERING

Author(s)

AFANDIZADEH SH. | HAJMOHAMMADI H. | KALANTARI N. | Issue Writer Certificate

Keywords

VARIABLE SPEED LIMITQ2

RAMP METERINGQ2

GENETIC ALGORITHMQ2

Abstract

Highways are one infrastructure facilities that play a vital role in transportation. There are several approaches for the highway management; such as Intelligent Transportation System (ITS), which control technologies to improve traffic flow quality in transportation networks. Different methods have been developed such as RAMP METERING (RM), VARIABLE SPEED LIMITs (VSL), route recommendation and variable message signs (VMS) are recognized as the most effective for relieving traffic congestion. This research paper discusses the optimal coordination of VARIABLE SPEED LIMITs and RAMP METERING in a highway traffic network. The control problem is to determine the optimal combination of control variables that result in the best network performance. Efficiency of this problem was evaluated based on the total time that a vehicle spent in the network. The applied co-ordination approach incorporates the macroscopic traffic flow model METANET and GENETIC ALGORITHM. The proposed model was implemented on a highway network. The results showed that applying this model to the highway networks could prevent traffic breakdown and therefore, the satisfied traffic flow could be achieved.

Cites

No record.

References

No record.

Cite

APA: Copy

AFANDIZADEH, SH., HAJMOHAMMADI, H., & KALANTARI, N.. (2012). APPLICATION OF GENETIC ALGORITHM IN COORDINATION OF VARIABLE SPEED LIMITS AND RAMP METERING. JOURNAL OF TRANSPORTATION RESEARCH, 9(3 (32)), 209-221. SID. https://sid.ir/paper/83707/en

Vancouver: Copy

AFANDIZADEH SH., HAJMOHAMMADI H., KALANTARI N.. APPLICATION OF GENETIC ALGORITHM IN COORDINATION OF VARIABLE SPEED LIMITS AND RAMP METERING. JOURNAL OF TRANSPORTATION RESEARCH[Internet]. 2012;9(3 (32)):209-221. Available from: https://sid.ir/paper/83707/en

IEEE: Copy

SH. AFANDIZADEH, H. HAJMOHAMMADI, and N. KALANTARI, “APPLICATION OF GENETIC ALGORITHM IN COORDINATION OF VARIABLE SPEED LIMITS AND RAMP METERING,” JOURNAL OF TRANSPORTATION RESEARCH, vol. 9, no. 3 (32), pp. 209–221, 2012, [Online]. Available: https://sid.ir/paper/83707/en

Related Journal Papers