Electric Car Sharing Service Using Mobile Technology

Millions of urban dwellers face difficulties owning a car because of congested and accident-prone infrastructure, sky-high parking fees, and high maintenance cost. The need for car ownership can be reduced by providing an efficient and effective car sharing system. In this paper, we propose an electric car sharing service system using mobile technology, which can be a substitute for fuel consuming cars. Our system will be helpful in saving the resources and the energy consumed in producing and owning cars as well as improving the quality of life in urban areas

Smart Packing With QR - Improving Cal Poly\u27s Parking System for All Users

Cal Poly Smart Parking, herein referred to as CPSP QR Code Initiative, is developed to reduce the wait times student, staff, and guest drivers experience when searching for a parking spot on campus. Cal Poly is currently undergoing a large growth in student population, and, as a result, is experiencing congestion in parking lots. Drivers will commonly spend frustrating amounts of time vulturing these parking lots for an open spot. CPSP QR Code Initiative consists of a database that is controlled by user submitted data through QR codes scanned on a user’s smartphone. This system will provide drivers with a convenient tool that allows them to visualize which parking spots are available in each respective lot. The entire concept has been experimentally implemented on a Windows Server 2008 RS host using ASP.NET programs to interact with a smartphone which has QR Reader application installed at Cal Poly parking lot H-12

Towards Autonomy: Cost-effective Scheduling for Long-range Autonomous Valet Parking (LAVP)

Continuous and effective developments in Autonomous Vehicles (AVs) are happening on daily basis. Industries nowadays, are interested in introducing less costly and highly controllable AVs to public. Current so-called AVP solutions are still limited to a very short range (e.g., even only work at the entrance of car parks). This paper proposes a parking scheduling scheme for long-range AVP (LAVP) case, by considering mobility of Autonomous Vehicles (AVs), fuel consumption and journey time. In LAVP, Car Parks (CPs) are used to accommodate increasing numbers of AVs, and placed outside city center, in order to avoid traffic congestions and ensure road safety in public places. Furthermore, with positioning of reference points to guide user-centric long-term driving and drop-off/pick-up passengers, simulation results under the Helsinki city scenario shows the benefits of LAVP. The advantage of LAVP system is also reflected through both analysis and simulation

TDOT 25-Year Long-Range Transportation Policy Plan, Mobility Policy Paper

https://digitalcommons.memphis.edu/govpubs-tn-dept-transportation-25-year-transportation-policy/1005/thumbnail.jp

Survey of smart parking systems

The large number of vehicles constantly seeking access to congested areas in cities means that finding a public parking place is often difficult and causes problems for drivers and citizens alike. In this context, strategies that guide vehicles from one point to another, looking for the most optimal path, are needed. Most contributions in the literature are routing strategies that take into account different criteria to select the optimal route required to find a parking space. This paper aims to identify the types of smart parking systems (SPS) that are available today, as well as investigate the kinds of vehicle detection techniques (VDT) they have and the algorithms or other methods they employ, in order to analyze where the development of these systems is at today. To do this, a survey of 274 publications from January 2012 to December 2019 was conducted. The survey considered four principal features: SPS types reported in the literature, the kinds of VDT used in these SPS, the algorithms or methods they implement, and the stage of development at which they are. Based on a search and extraction of results methodology, this work was able to effectively obtain the current state of the research area. In addition, the exhaustive study of the studies analyzed allowed for a discussion to be established concerning the main difficulties, as well as the gaps and open problems detected for the SPS. The results shown in this study may provide a base for future research on the subject.Fil: Diaz Ogás, Mathias Gabriel. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Fabregat Gesa, Ramon. Universidad de Girona; EspañaFil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentin

An Exploratory Scenario for San Francisco to Become A Walking, Bicycling and Transit City

The effects of greenhouse gases (GHGs) on global warming and climate change have become increasingly evident, and the transportation sector is a dominant contributor to GHG emissions which responsible for 13% of the world’s total GHG emissions and more than 21% of overall energy-related CO2 emissions. Cities need sustainable transportation system that integrate new technologies and strategies to provide efficient and effective transit service while reducing its GHG emission and improving its livability. This paper explores a suitable and sustainable transportation scenario for San Francisco to achieve its 2035 goal which is to reduce 1,767,500 metric tons GHG emissions annually. There are three major initiatives in this “Walking, Bicycling and Transit City” scenario, which includes practical non-vehicle transit, large capacity low-carbon public transit, and green vehicle alternative to satisfy the city’s need of mobility while minimizing the impact to the environment. The bike and bus rapid transit integrates the bicycle and bus transit systems to provide efficient and effective public transport service to the city. The public electric vehicle sharing program associated with vehicle to grid technology to replace existing internal combustion vehicles, reduce GHG emissions, lower congestion, as well as maintains people’s need for special mobility. And the smart transportation system integrates new technologies to assist travelers to improve travel safety and travel efficiency

A Survey of Smart Parking Solutions

International audienceConsidering the increase of urban population and traffic congestion, smart parking is always a strategic issue to work on, not only in the research field but also from economic interests. Thanks to information and communication technology evolution, drivers can more efficiently find satisfying parking spaces with smart parking services. The existing and ongoing works on smart parking are complicated and transdisciplinary. While deploying a smart parking system, cities, as well as urban engineers, need to spend a very long time to survey and inspect all the possibilities. Moreover, many varied works involve multiple disciplines, which are closely linked and inseparable. To give a clear overview, we introduce a smart parking ecosystem and propose a comprehensive and thoughtful classification by identifying their functionalities and problematic focuses. We go through the literature over the period of 2000-2016 on parking solutions as they were applied to smart parking development and evolution, and propose three macro-themes: information collection, system deployment, and service dissemination. In each macro-theme, we explain and synthesize the main methodologies used in the existing works and summarize their common goals and visions to solve current parking difficulties. Lastly, we give our engineering insights and show some challenges and open issues. Our survey gives an exhaustive study and a prospect in a multidisciplinary approach. Besides, the main findings of the current state-of-the-art throw out recommendations for future research on smart cities and the Internet architecture

Routing and Applications of Vehicular Named Data Networking

Vehicular Ad hoc NETwork (VANET) allows vehicles to exchange important informationamong themselves and has become a critical component for enabling smart transportation.In VANET, vehicles are more interested in content itself than from which vehicle the contentis originated. Named Data Networking (NDN) is an Internet architecture that concentrateson what the content is rather than where the content is located. We adopt NDN as theunderlying communication paradigm for VANET because it can better address a plethora ofproblems in VANET, such as frequent disconnections and fast mobility of vehicles. However,vehicular named data networking faces the problem of how to efficiently route interestpackets and data packets. To address the problem, we propose a new geographic routing strategy of applying NDNin vehicular networks with Delay Tolerant Networking (DTN) support, called GeoDTN-NDN. We designed a hybrid routing mechanism for solving the flooding issue of forwardinginterest packets and the disruption problem of delivering data packets. To avoid disruptionscaused by routing packets over less-traveled roads, we develop a new progressive segmentrouting approach that takes into consideration how vehicles are distributed among differentroads, with the goal of favoring well-traveled roads. A novel criterion for determiningprogress of routing is designed to guarantee that the destination will be reached no matterwhether a temporary loop may be formed in the path. We also investigate applications of vehicular named data networking. We categorizethese applications into four types and design an NDN naming scheme for them. We proposea fog-computing based architecture to support the smart parking application, which enablesa driver to find a parking lot with available parking space and make reservation for futureparking need. Finally we describe several future research directions for vehicular nameddata networking