www.astesj.com 24 Using Dynamic Market-Based Control for Real-Time Intelligent Speed Adaptation Road Networks Jamal Raiyn * Al Qasemi Academic College, Computer Science, Baqa Al Gharbiya, 30100, Israel A R T I C L E I N F O A B S T R A C T Article history: Received: 08 February, 2022 Accepted: 16 April, 2022 Online: 18 July, 2022 Traffic road management is becoming more complex due to limited resources and an increasing number of hybrid vehicles. Currently, a number of global classical computing tools are used to manage the traffic road network. This kind of classical computing is resource intensive and expensive, and in the best case, optimizing a traffic network takes a few hours. In traffic road networks, some classes of traffic are much more sensitive to communication delays than other classes. Delays in vehicle- to- vehicle communication cause traffic congestion and sometimes accidents. To honor users’ preferences and to improve the road network performance, a market –based control approach is proposed that returns results in quantum space. This paper introduces a market-based control scheme with the goal to manage the traffic flow. Market-Based Control (MBC) is an economic model, which provides new solution to improve the travel data management and to reduce the probability blocking rate in connected autonomous vehicle. The Market- Based Model divided into fixed MBC and dynamic MBC. Keywords: Data science Speed adaptation Market-Based Control Computational intelligence 1. Introduction Road accidents have received the most attention from researchers due to its impacts economically [1]-[3]. It is proposed various conventional methods to reduce the number of traffic congestion states in road networks, and reduction of their negative effects and improvement of traffic safety [4], [5]. The route traffic management becomes more complex [6], when the number of vehicles increases in the road networks. The market- based control approach is proposed to describe the traffic flow and to handle traffic congestion road networks by considering the real-time traffic flow. In this case, computational intelligent methods are used, as market-based control model. The Market –based control provided different intelligence features, such autonomy, negotiation learn ability and reasoning. The novelty of market-based control is the dynamic management of traffic flow based on provider and supplier strategy. The paper is organized as follows: Section 2 presents the traffic control problem. Section 3 describes the proposed concept based on market-based control. Section 4 presents the simulation and results’ discussion. Finally, the conclusion summarizes the presented work and points to some future research directions. 2. The Traffic Control Problem The traffic and road network management problem can be framed in terms of a market-based control model, in which a road network is divided in m road sections and allocated n activities. The AVs are considered to be consumers and the road sections to be the producers. The supply of the producer l is expressed by . The demand of the consumer i is expressed by . consumer: ( ) → producer: ( ) → s.t. ∑ =1 = ∑ ≥ 0. (∗) =1 ≥0 . . ≥0 . . The optimization problem (*) is a road network management problem. The objective functions should be maximized at the same time. (,) is considered the total resources, and j is the activity that changes within road sections and within a designated time period. The activity of each road section j is presented as (,) . ∑ , (, ) = (, ) =1 , 1≤≤ ASTESJ ISSN: 2415-6698 * Corresponding Author: Jamal Raiyn, Email: jamal.raiyn@gmail.com Advances in Science, Technology and Engineering Systems Journal Vol. 7, No. 4, 24-27 (2022) www.astesj.com https://dx.doi.org/10.25046/aj070404