An Optimization Model for Rigorously Assessing Efficient Heuristics for Traffic Coordination at Intersections

Abstract

AIbWtrtLare--sc-caik networj-Centric control systems can traffic congestion problems Mortover. it is also tnot benedt significantiN viu the use of COmputer tnd econonicaltv fasible t continually build new oads to communication technologies. Given the large Mie and accom-modate the increasing traffic on existing roads complexity of such syOtems fit 'is often no,t possible to Compute Simila prolems haP e been obseW ed in ub rilxay optimal solutions. In many cases, it mav be necessarv that the controlsoluton con be computedutl Whinauhort timeinte transit syxstems. The transit oPerators are not able to run Wfhereai computinitg an optimal soluhuio migiht requtire ai much mnore traints to accoimnodatei thie increase in t he number of longer time inter al Thusi heuristic contirol strategies are passengers due to limmitatos imPOsed bi the infrastructure often deployed in lieu (of fully optimal solutions. Howesrer in Somue of thlese imitations arise due to safeix requiremnts. order to ensure that a heuristic technique meets the such as maintaining, a mnimum safe distance between l7etfimance requi'rmentts emaottably WcI1j it Is fiewssaur to performanc requirements reasonably usell, itis neessat o trains, aind oter constraints, such as not being able to lay compare it with the optimal method. Il this, paper. we demonstrate this process by using a case study of scheduling no t d to tm lac of space C e uchides traveling on a grid of intersecting roads. We deu elop 1 de to vehicular traffic or imass-ransit systemns, has various an optimization model for this problem using linear socio-econotmic atid enviromienutal impacts. T1us, It is programming aind solve it using CPLEX. Moeoer we limipratiN e to devecop new Solutiomns that promiote effciti develop twoo heuristic algorithms fbr the same problem, an itmiaiomi o e\istmng irasrtirs rather than ocusing Y v ii"iiti them agaitnst the 'o" tinl approa solely on sotlitmons thIat demamid expansion of thie I. INuROt D Unfrasinerr With these goals in Mind, maims solutions hse beemi Wil adine 11 moer 00 coptn u With ads aic iii mod erm i dy coputii m prope t soh e transporation problems To alles:ate communication; techno0logies. iiamy large-scale safety sVehimcuilar traffic cowstion, daptise traffic lighits that crtifcal. hard real-time control sy'stemis are controlled and mdf hi re haeme l eeiigo niei ,~~~~~~~~~~~~~~~~~tm1( thaM green iqidl_tlA doenid.in on imidednt: imonitored using spcia d omputiig dvic Such ffic l t l sy stems are found in S8amons domnammis. suchl W researchers hXase proposed rpkmoaonmmg" 1171 to reduce tramisporation sWstems (e S,+ramls atrafficcoitrolsstmis untder-vehicle disaii thus allowing greater Vehicle density sWehiciar traffic control svstems), mndistrial automation ami imuprosig roadway utitization. Simitarly, research SNsers(.g.atnmu goiedveibes in a ffict= -==ii s> sems(eauonoousgumdeds cide mii afacor>. tmid have proposied Usimig automnornmous decemmtralized control iii defnse app I4cations eg . autonoimous guided elidles to aihsav cntrol sy stems to ru ...

An Intelligent Traffic Flow Control System Based on Radio Frequency Identification and Wireless Sensor Networks

“…Thus (4) is revised to where and represent the lower and upper bounds of various classical regions, respectively. Equation (10) is carried into (5) to obtain…”

“…Having acquired the concept of distance and rank value, the correlation function, which is distance divided by rank value, is shown in (5) and drawn in Figure 3 as a curve diagram. Consider the following:…”

“…Such an improvement in transportation system operations can lead to improvement in the safety and efficiency of today's transportation network. Because the international transport sector pays closer attention to and provides fuller cooperation in the promotion of ITS, the further development of the potential of a dynamic signal control model per second basis [1][2][3][4][5] for close integration into developing telecommunication and control technologies to produce more intelligent traffic control timing signals in real-time has become a key issue in long-term resource investment. The belief is that this trend will continue well into the future.…”

“…This is because the traffic control system is nonlinear, fuzzy, and nondeterministic, and thus traditional methods of modeling and control cannot work very well. Although some significant artificial intelligence (AI) methods such as fuzzy logic [4][5][6][7], neural network [8][9][10], evolutionary algorithms [11][12][13], and reinforcement learning [14][15][16] have been proposed to tune the cycle length and splits adaptively, the success in timing optimization and convergence rate are still limited. The cycle length and splits could be determined by using the fuzzy control method, and thus that could shorten the queue and reduce total traffic delay.…”

Vehicular traffic optimisation and even distribution using ant colony in smart city environment

“…To promote the ITS international transport system, the departments are paying the keen attention and doing full cooperation. The additional amelioration of dynamic signal control model as per the second basis [11][12][13][14][15] for close integration into control technologies and developing telecommunication to generate extra intelligent-traffic control timing signals in real time becomes a major issue/problem in distant future resource investment.…”