Abstract

With the ever-increasing number of vehicles and technological advancements, transportation-related social problems are addressed with more systematic and smarter solutions, as a part of Intelligent Transportation Systems (ITS) services. Parking management is an ITS application area, where limited parking capacities can be efficiently and fairly utilized by more road users. However, detection of the true nature of parking demand and supply limits as well as the expected response to any policies and technology tools to be employed, is necessary prerequisite step. Middle East Technical University (METU) campus is a built environment that suffers from parking-related problems due to limited parking supply capacity despite the increase in the demand. Thus, parking violations have been increasing lately due to high number of cars in the campus. Besides the negative environmental impacts, parking violations have started to threaten the flow and safety of the campus traffic due to traffic congestion and loss of road network capacity at critic locations. This thesis focuses on estimation of the type and level of parking utilization and violations in METU Campus, so that smart parking management strategies can be recommended for development of a more sustainable campus transportation policies. Smart parking management requires an understanding of land use, parking supply and demand, driver needs, behaviors, and perception of the commuters, in the scope of parking management. Thus , within the study, parking space inventory, parking survey were conducted and a smart campus transportation survey was utilized. After this comprehensive evaluation, a campus-wide parking management strategy plan that promote smart mobility within the campus was proposed within the campus, in 7 stages . In addition, a regional strategy plan, including the locations, and application of the proposed parking pricing strategy, and the areas where parking should be prohibited, has been created. Giderek artan araç sayısı ve teknolojik gelişmelerle birlikte, ulaşımla ilgili sosyal problemler; Akıllı Ulaşım Sistemleri’nin bir parçası olan sistematik ve akıllı çözümlerle ele alınmalıdır. Park yönetimi, sınırlı otopark kapasitelerinin daha fazla yol kullanıcısı tarafından verimli ve adil bir şekilde kullanılabildiği Akıllı Ulaşım Sistemleri uygulama alanıdır. Ancak; otopark arzının ve parklanma talebinin kapsamının, ayrıca kullanılacak olan herhangi politika ve teknolojik ürüne verilmesi beklenen karşılığın belirlenmesi gerekli ön şarttır. Yapılı çevre olan Orta Doğu Teknik Üniversitesi (ODTÜ) kampüsü parklanmaya olan talebin artmasına rağmen, içerisindeki park yeri kapasitesinin sınırlı olmasından dolayı, parklanma ile ilgili problemlerle yüzleşmektedir. Son zamanlarda park ihlalleri, kampüste araç sayısının fazlalığından dolayı artmaktadır. Olumsuz çevresel etkilerin yanı sıra park ihlalleri; kritik konumlarda trafik sıkışıklığı ve karayolu ağı kapasitesinin kaybı oluşturması nedeniyle. kampüs trafiğinin akışını ve güvenliğini azaltmaya başlamıştır. M.S. - Master of Science

Abstract

International audience; With the constant increasing of Vehicular traffic around the world, especially in urban areas, existing traffic management solutions become inefficient. This can be clearly seen in our life through persistent traffic jam and rising number of accidents. Wireless sensor networks (WSN) based intelligent transportation systems (ITS) have emerged as a cost effective technology that bear a pivotal potential to overcome these difficulties. This technology enables a new broad range of smart city applications around urban sensing including traffic safety, traffic congestion control, road state monitoring, vehicular warning services, and parking management. This manuscript gives a comprehensive review on WSN based ITS solutions. The main contribution of this paper is to classify current WSNs based ITS projects from the application type point of view with a deep discussion on how the application requirements are fulfilled. This work extends our previous study on traffic lights WSNs based projects[4]. Document type: Conference object