MPC-Based Emergency Vehicle-Centered Multi-Intersection Traffic Control

被引:19
作者
Hosseinzadeh, Mehdi [1 ]
Sinopoli, Bruno [1 ]
Kolmanovsky, Ilya [2 ]
Baruah, Sanjoy [3 ]
机构
[1] Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA
[2] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA
[3] Washington Univ, Dept Comp Sci & Engn, St Louis, MO 63130 USA
基金
美国国家科学基金会;
关键词
Centralized control; decentralized control; emergency vehicle; model predictive control (MPC); multi-intersection control; traffic control; PREDICTIVE CONTROL; MODEL;
D O I
10.1109/TCST.2022.3168610
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article proposes a traffic control scheme to alleviate traffic congestion in a network of interconnected signaled lanes/roads. The proposed scheme is emergency vehicle-centered, meaning that it provides an efficient and timely routing for emergency vehicles. In the proposed scheme, model predictive control is utilized to control inlet traffic flows by means of network gates, as well as the configuration of traffic lights across the network. Two schemes are considered in this article: 1) centralized and 2) decentralized. In the centralized scheme, a central unit controls the entire network. This scheme provides the optimal solution even though it might not fulfill real-time computation requirements for large networks. In the decentralized scheme, each intersection has its own control unit, which sends local information to an aggregator. The main responsibility of this aggregator is to receive local information from all control units across the network and the emergency vehicle, augment the received information, and share it with the control units. Since the decision-making in a decentralized scheme is local and the aggregator should fulfill the abovementioned tasks during a traffic cycle, which takes a long period of time, the decentralized scheme is suitable for large networks even though it may provide a suboptimal solution. Extensive simulation studies are carried out to validate the proposed schemes and assess their performance. Notably, the obtained results reveal that traveling times of emergency vehicles can be reduced up to similar to 50% by using the centralized scheme and up to similar to 30% by using the decentralized scheme without causing congestion in other lanes.
引用
收藏
页码:166 / 178
页数:13
相关论文
共 45 条
[2]  
[Anonymous], 2015, AN PRIOR IND ROADW L
[3]  
Barth Alexander, 2010, 2010 13th International IEEE Conference on Intelligent Transportation Systems (ITSC 2010), P861, DOI 10.1109/ITSC.2010.5624969
[4]   Traffic Management for Automated Highway Systems Using Model-Based Predictive Control [J].
Baskar, Lakshmi Dhevi ;
De Schutter, Bart ;
Hellendoorn, Hans .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2012, 13 (02) :838-847
[5]  
Camacho E. F., 2007, ADV TK CONT SIGN PRO
[6]  
Cao MM, 2019, IEEE INT C INTELL TR, P4525, DOI 10.1109/ITSC.2019.8916879
[7]  
Chanut S, 2003, TRANSPORT RES REC, P209
[8]  
During M, 2014, 2014 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA 2014), P154, DOI 10.1109/INISTA.2014.6873612
[9]   A real-time adaptive signal control in a connected vehicle environment [J].
Feng, Yiheng ;
Head, K. Larry ;
Khoshmagham, Shayan ;
Zamanipour, Mehdi .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2015, 55 :460-473
[10]  
Gomes G., TRANSP RES C, V16, P485