ANALYSIS OF SIR MODEL WITH OPTIMAL CONTROL STRATEGY FOR A SIMPLE TRAFFIC CONGESTION PROCESS

被引:1
|
作者
Herdiana, Ratna [1 ]
Rafsanjani, Zani anjani [1 ]
Tjahjana, R. heru [1 ]
Erlangga, Yogi ahmad [2 ]
Ansori, Moch. fandi [1 ]
机构
[1] Univ Diponegoro, Dept Math, Semarang 50275, Indonesia
[2] Zayed Univ, Coll Nat & Hlth Sci, Dept Math, Abu Dhabi, U Arab Emirates
关键词
SIR; traffic congestion; optimal control; GLOBAL STABILITY; DISEASE;
D O I
10.28919/cmbn/8336
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Traffic analysis on highways at the macroscopic level is very similar to the analysis of the spread of infectious diseases, namely the susceptible-infected-recover (SIR) model. We propose the SIR model with a control variable. The dynamics with fixed control and stability of the model are analyzed. Sensitivity analysis was also carried out. Variable control is applied as an effort to regulate or change the duration of the green light at an intersection. We obtain an optimal control strategy when the control is time-dependent. Numerical results show the positive impacts of implementing the control to susceptible vehicles and treatment for congested vehicles. We have also done an efficiency analysis, which shows that control is more effective than without control.
引用
收藏
页数:20
相关论文
共 50 条
  • [31] Bifurcation analysis and optimal control of discrete SIR model for COVID-19
    Ahmed, analysis optimal Mostak
    Masud, Md. Abdullah Bin
    Sarker, Md. Manirul Alam
    CHAOS SOLITONS & FRACTALS, 2023, 174
  • [32] Research on mixed strategy for traffic congestion control under user heterogeneity
    Wu Z.
    Xu W.
    Li M.
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2019, 39 (11): : 2804 - 2814
  • [33] Traffic Density Based Distributed Congestion Control Strategy for Vehicular Communication
    Akinlade, Oluwaseyi
    Saini, Ikjot
    Liu, Xiaofeng
    Jaekel, Arunita
    2019 15TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), 2019, : 195 - 197
  • [34] Optimal Control Strategy of a Biotechnological Process Using a Fuzzy Zonal Model
    Barbu, Marian
    Caraman, Sergiu
    Ceanga, Emil
    ROMANIAN BIOTECHNOLOGICAL LETTERS, 2008, 13 (05): : 29 - 38
  • [35] Traffic Signal Control by using Traffic Congestion Prediction based on Pheromone Model
    Tawara, Katsunori
    Mukai, Naoto
    22ND INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2010), PROCEEDINGS, VOL 1, 2010,
  • [36] A novel regional traffic control strategy for mixed traffic system with the construction of congestion warning communities
    Gu, Xiaoning
    Chen, Chao
    Feng, Tao
    Yao, Baozhen
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2024, 639
  • [37] Pedestrian-Safety-Aware Traffic Light Control Strategy for Urban Traffic Congestion Alleviation
    Zhang, Yi
    Zhang, Yicheng
    Su, Rong
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (01) : 178 - 193
  • [38] Optimal information perturbation for traffic congestion mitigation: Gaussian process regression and optimization
    Spana, Stephen
    Du, Lili
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 138
  • [39] Optimal control for a SIR epidemic model with limited quarantine
    Balderrama, Rocio
    Peressutti, Javier
    Pablo Pinasco, Juan
    Vazquez, Federico
    Sanchez de la Vega, Constanza
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [40] Optimal control for a SIR epidemic model with limited quarantine
    Rocío Balderrama
    Javier Peressutti
    Juan Pablo Pinasco
    Federico Vazquez
    Constanza Sánchez de la Vega
    Scientific Reports, 12