A Microscopic Simulation Laboratory for Evaluation of Off-street Parking Systems

The parking industry produces an enormous amount of data every day that, properly analyzed, will change the way the industry operates. The collected data form patterns that, in most cases, would allow parking operators and property owners to better understand how to maximize revenue and decrease operating expenses and support the decisions such as how to set specific parking policies (e.g. electrical charging only parking space) to achieve the sustainable and eco-friendly parking. However, there lacks an intelligent tool to assess the layout design and operational performance of parking lots to reduce the externalities and increase the revenue. To address this issue, this research presents a comprehensive agent-based framework for microscopic off-street parking system simulation. A rule-based parking simulation logic programming model is formulated. The proposed simulation model can effectively capture the behaviors of drivers and pedestrians as well as spatial and temporal interactions of traffic dynamics in the parking system. A methodology for data collection, processing, and extraction of user behaviors in the parking system is also developed. A Long-Short Term Memory (LSTM) neural network is used to predict the arrival and departure of the vehicles. The proposed simulator is implemented in Java and a Software as a Service (SaaS) graphic user interface is designed to analyze and visualize the simulation results. This study finds the active capacity of the parking system, which is defined as the largest number of actively moving vehicles in the parking system under the facility layout. In the system application of the real world testbed, the numerical tests show (a) the smart check-in device has marginal benefits in vehicle waiting time; (b) the flexible pricing policy may increase the average daily revenue if the elasticity of the price is not involved; (c) the number of electrical charging only spots has a negative impact on the performance of the parking facility; and (d) the rear-in only policy may increase the duration of parking maneuvers and reduce the efficiency during the arrival rush hour. Application of the developed simulation system using a real-world case demonstrates its capability of providing informative quantitative measures to support decisions in designing, maintaining, and operating smart parking facilities

Evaluating the Effect of Smart Parking Technology on Campus Parking System Efficiency using Discrete Event Simulation

This study was conducted to investigate the effect of smart parking systems (SPS) on parking search times (PST) in large parking lots. SPSs are systems that disseminate real-time parking spot availability to drivers searching for parking. The literature review revealed discrete event simulation (DES) to be a suitable tool for studying the dynamic behavior in parking lots. The parking lot selected for data collection was a university parking lot with 234 spaces. The data collected included arrival rates, departure rates, the geometric properties of the parking lot, preferred parking search strategies, and driving speeds. Arena 13.9, by Rockwell Automation, Inc, was selected as the modeling software. The base model was built from observed parking search strategies (PSS) of drivers. The model was validated using a t-test for independent samples to compare the PSTs of the base model and actual parking lot. Once the base model was verified and validated, the logic was altered to reflect (PSS) (IV) with real-time parking availability (i.e. simulating the presence of an SPS). The PSTs (DV) for the base and experimental models were compared using a t-test for independent samples. It was found that SPSs reduce PSTs by an average of 11 seconds. This shows great potential for a multi-lot SPS that might save a larger amount of time and harmful vehicle emissions

Spartan Daily, January 29, 1981

Volume 76, Issue 4https://scholarworks.sjsu.edu/spartandaily/6708/thumbnail.jp

Development of an automated bicycle parking spot for a smart parking system

Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do ParanáSmart parking systems are promising solutions for a set of traffic-related problems in major cities across the world. The goal of those systems is to guide users through paths in which they spend less time, resources, and release fewer greenhouse gases to find a parking spot. To this end, deployers develop Cyber-physical Systems that generally comprise embedded electronics materials, Internet of Things technologies, and Artificial Intelligence concepts. This work combines ESP8266 microcontrollers and Raspberry Pi microprocessors through MQTT communication protocol to implement its architecture, a few possible different options for the actuator are also presented, and a project for the power supply by lowcurrent photovoltaic panels is documented. Therefore, the goal is to work over some options and ideas for the physical implementation of the low-level electronics physical stage of a smart parking Cyber-physical System. The results include validated actuator options, a small photovoltaic generation sizing, and the deployment of a microcontroller routine capable of properly operate as a physical asset controller enabling scalability.Sistemas de estacionamento inteligentes são soluções promissoras para uma gama de problemas relacionados a tráfego de automóveis em grandes cidades do mundo. O objetivo destes sistemas é guiar seus usuários por caminhos pelos quais os mesmos gastam menos tempo, recursos e liberam menos gases contribuintes para o efeito estufa a fim de encontrar um local de estacionamento. Para este fim, desenvolvedores implementam Sistemas Ciber-físicos que geralmente incluem materiais de eletrônica embebida, tecnologias de Internet das Coisas e conceitos de Inteligência Artificial. Este trabalho combina os microcontroladores ESP8266 e microprocessadores Raspberry Pi pelo protocolo de comunicação MQTT a fim de implementar sua arquitetura definida, também apresenta algumas possíveis opções para a implementação de um atuador e o projeto para suprir o consumo de eletricidade por painéis fotovoltaicos de baixa corrente. Portanto, o objetivo é trabalhar em possíveis opções e ideias para a implementação física da etapa de eletrônica de baixo nível de um Sistema Ciber-físico para estacionamentos inteligentes. Os resultados incluem opções validadas de atuadores, um dimensionamento de geração fotovoltaica de baixa potência e o desenvolvimento de uma rotina para o que o microcontrolador aja como um controlador local e permita escalabilidade

Spartan Daily, January 24, 1985

Volume 84, Issue 1https://scholarworks.sjsu.edu/spartandaily/7254/thumbnail.jp

Networking Transportation

Networking Transportation looks at how the digital revolution is changing Greater Philadelphia's transportation system. It recognizes several key digital transportation technologies: Artificial Intelligence, Big Data, connected and automated vehicles, digital mapping, Intelligent Transportation Systems, the Internet of Things, smart cities, real-time information, transportation network companies (TNCs), unmanned aerial systems, and virtual communications. It focuses particularly on key issues surrounding TNCs. It identifies TNCs currently operating in Greater Philadelphia and reviews some of the more innovative services around the world. It presents four alternative future scenarios for their growth: Filling a Niche, A Tale of Two Regions, TNCs Take Off, and Moore Growth. It then creates a future vision for an integrated, multimodal transportation network and identifies infrastructure needs, institutional reforms, and regulatory recommendations intended to help bring about this vision

Promoting Bicycle Commuter Safety, Research Report 11-08

We present an overview of the risks associated with cycling to emphasize the need for safety. We focus on the application of frameworks from social psychology to education, one of the 5 Es—engineering, education, enforcement, encouragement, and evaluation. We use the structure of the 5 Es to organize information with particular attention to engineering and education in the literature review. Engineering is essential because the infrastructure is vital to protecting cyclists. Education is emphasized since the central focus of the report is safety

Memorial Drive Revitalization (Chicopee, MA)

The goal of the Master of Regional Planning Studio is to develop a student’s techniques for collecting, analyzing, and synthesizing spatial and non-spatial data and then presenting that collective data in a manner (i.e., report, video, presentation, and charettes) that is understandable to academics, professionals, and the public. Planning Studio allows students to integrate knowledge from coursework and research, and apply such knowledge to resolving representative planning problems. At UMASS Amherst, these problems are found in neighborhood, rural, urban, and/or regional settings. In the fall of 2014, three local governments contracted with the MRP Studio to create separate vision plans that focused on key aspects of community revitalization. The City of Chicopee tasked the graduate student team (Hills House Planners) with developing a conceptual vision plan for Memorial Drive.” Currently, the Chicopee Planning Department lacked critical planning data for the corridor, and also has no adopted citywide master plan guiding development. The new vision seeks to include not only the existing car oriented infrastructure, but also to better integrate other uses for Memorial Drive, as well as a residential and commercial rebranding

2nd Symposium on Management of Future motorway and urban Traffic Systems (MFTS 2018): Booklet of abstracts: Ispra, 11-12 June 2018

The Symposium focuses on future traffic management systems, covering the subjects of traffic control, estimation, and modelling of motorway and urban networks, with particular emphasis on the presence of advanced vehicle communication and automation technologies. As connectivity and automation are being progressively introduced in our transport and mobility systems, there is indeed a growing need to understand the implications and opportunities for an enhanced traffic management as well as to identify innovative ways and tools to optimise traffic efficiency. In particular the debate on centralised versus decentralised traffic management in the presence of connected and automated vehicles has started attracting the attention of the research community. In this context, the Symposium provides a remarkable opportunity to share novel ideas and discuss future research directions.JRC.C.4-Sustainable Transpor