Highway transportation optimization control system based on OD forecast information
Siru Chen ()
Additional contact information
Siru Chen: Shaanxi College of Communication Technology
International Journal of System Assurance Engineering and Management, 2021, vol. 12, issue 4, No 13, 748-756
Abstract:
Abstract In order to effectively solve the contradiction between supply and demand of road transportation and avoid waste of road facilities and construction resources, a scientific and systematic road network plan must be formulated. OD traffic flow reflects the distribution of traffic volume from the start point to the end point in the road network for a period of time. The purpose of this paper is to design and simulate a road transport optimization control system based on OD prediction information. This paper first converts the objective function of the variable speed multi-objective optimization model, and then determines the fitness function corresponding to each objective function. Then the linear normalization method is used to normalize the fitness function, and then the judgment matrix is established, and the weights are calculated by the square root method. Transform multi-objective optimization solutions into single-objective optimization solutions. Then the binary value of the decision variable speed limit value is encoded. Finally, crossover probability, mutation probability and genetic algorithm termination evolution algebra were determined. On this basis, the solution method of the optimal speed limit value is provided. After the variable speed limit was implemented for road transportation, the average speed value during peak hours increased from 82.0 to 85.9 km/h, an increase of 3.9 km/h; during the peak period, the vehicle speed increased from 83.3 to 85.6 km/h, an increase 2.3 km/h. The experimental data shows that the variable speed limit control strategy in the road transport optimization control system based on the OD prediction information has a significant effect on improving the driving efficiency of the fast lane.
Keywords: OD prediction information; Road transport optimization control system; Traffic network simulation; Minimum performance index (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13198-021-01071-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:12:y:2021:i:4:d:10.1007_s13198-021-01071-5
Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198
DOI: 10.1007/s13198-021-01071-5
Access Statistics for this article
International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar
More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().