عنوان :
شناسايي كمان هاي مهم در ارتباط با وقوع حوادث تصادفي در شبكه هاي حمل و نقل شهري ﴿مطالعه موردي: شبكه حمل و نقل شهر اصفهان﴾
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده صنايع و سيستم ها
صفحه شمار :
نه،77ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
نادر شتاب بوشهري
توصيفگر ها :
شاخص اتصال K مسيره
تاريخ نمايه سازي :
1/10/92
استاد داور :
مهدي ابطحي، محمد سعيد صباغ
دانشكده :
مهندسي صنايع و سيستم ها
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Detecting Important Links for stochastic incidents occurrence in urban transportation networks Case Study Isfahan Urban Transportation Network Vahid Khani v khani@in iut ac ir Date of Submission 2013 09 25 Department of Industrial Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor Seyed Nader Shetab Boushehri shetab@cc iut ac irAbstract Stability of road networks in relation to both usuall and unusuall traffic crowds have been noticed bytransportation researchers these days Increasing the value of time in the result of development of economicactivities in various human societies have made unexpected traffic delays in road networks to create a largeamount of costs for users of these networks So these networks must be design in a way in wich drivers besure about their smouth and uniform movement We must think of designing and improving additional pathsbetween different origins and destinations so the network can work continuously with providing anacceptable service level In this thesis identifying important links has been investigated Important links are those that cutting themmakes most of origin destination trips to be inappropriative in the network For achieving this porpuse anindex namely k link connected index has been used This index originally has been introduced for measuringthe efficiency of communication networks So with altering this index we have made it usable for measuringthe efficiency of transportation networks in relation to occurring stochastic incidents and important links havebeen identified by using this alterd index Also an effective approach based on huristic methods foridentifying unimportant links is proposed The efficiency of proposed approach have been evaluated withimplementing it on a real mesdium size network Sioux Falls It is applicability in relation to large networkshas been shown with implementing it on Isfahan transportation network Keywords Important link Stochastic incidents Road transportation network K link connected index
استاد راهنما :
نادر شتاب بوشهري
استاد داور :
مهدي ابطحي، محمد سعيد صباغ
