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 ...