Browsing by Subject "Intelligent vehicles"
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Item Advancing Social Equity with Shared Autonomous Vehicles: Literature Review, Practitioner Interviews, and Stated Preference Surveys(Center for Transportation Studies, University of Minnesota, 2022-01) Fan, Yingling; Wexler, Noah; Douma, Frank; Ryan, Galen; Hong, Chris; Li, Yanhua; Zhang, Zhi-LiThis report examines preferences and attitudes regarding the implementation and design of a hypothetical publicly-funded Shared Automated Vehicle (SAV) system in the Twin Cities metro area. We provide a brief literature review before delving into our main findings. First, we discuss a series of interviews in which officials at local planning agencies were asked about their vision for SAV in the Twin Cities. According to these interviews, SAV could be especially useful in solving first-and-last-mile problems and connecting with already existing transit and on-demand transportation infrastructure. We then analyze data sourced from an originally designed digital survey instrument implemented over social media in 2020 and specifically targeted at Twin Cities residents. Data from the survey emphasize that people who currently experience barriers to transportation are more likely to value SAV highly. The data also give insight into design considerations, emphasizing flexibility in payment and booking and the importance of security features. Finally, we examine data from a similar survey administered at the 2021 Minnesota State Fair, which we use to gauge preferences toward SAV among people living in the Twin Cities exurbs and Greater Minnesota.Item Development of a Workshop on Automated Vehicle Technologies(Center for Transportation Studies, University of Minnesota, 2019-07) Davis, Brian; Johnson, ReedConnectivity and automation in vehicles have the potential to change nearly every aspect of our transportation system. Vehicles with these capabilities are already being tested on public roads and are beginning to enter the national fleet. These vehicles have the potential to bring numerous benefits to the public, but these benefits come with tradeoffs that must be carefully considered by transportation professionals. This project focuses on the development and delivery of a two-day workshop on connected and automated vehicles (CAVs) for an audience of public transportation professionals. This workshop was designed to not only provide an overview of CAV technologies but to also to take an in-depth look at Global Navigation Satellite Systems, LIDAR, and the software and algorithms that use these sensors for localization and navigation. The goal of the workshop was to help develop technical literacy about these technologies among workshop participants to provide context when encountering CAV technologies. A workshop was developed that incorporates classroom lectures and demonstrations using a robotic unmanned ground vehicle. A pilot offering of the workshop was delivered in May 2019, which was attended by eight public transportation professionals representing different agencies at different levels of government. Participant feedback was collected to evaluate the efficacy of the workshop. Responses were almost exclusively positive, highlighting participants' interest in both classroom sessions and demonstrations. Using constructive feedback, improvements have been identified for future offerings. Workshop participants found the workshop to be interesting and reported learning about the topics covered, motivating future offerings.Item Development of a Workshop on Automated Vehicle Technologies(Center for Transportation Studies, University of Minnesota, 2019-07) Davis, Brian; Johnson, ReedConnectivity and automation in vehicles have the potential to change nearly every aspect of our transportation system. Vehicles with these capabilities are already being tested on public roads and are beginning to enter the national fleet. These vehicles have the potential to bring numerous benefits to the public, but these benefits come with tradeoffs that must be carefully considered by transportation professionals.This project focuses on the development and delivery of a two-day workshop on connected and automated vehicles (CAVs) for an audience of public transportation professionals. This workshop was designed to not only provide an overview of CAV technologies but to also to take an in-depth look at Global Navigation Satellite Systems, LIDAR, and the software and algorithms that use these sensors for localization and navigation. The goal of the workshop was to help develop technical literacy about these technologies among workshop participants to provide context when encountering CAV technologies. A workshop was developed that incorporates classroom lectures and demonstrations using a robotic unmanned ground vehicle. A pilot offering of the workshop was delivered in May 2019, which was attended by eight public transportation professionals representing different agencies at different levels of government. Participant feedback was collected to evaluate the efficacy of the workshop. Responses were almost exclusively positive, highlighting participants’ interest in both classroom sessions and demonstrations. Using constructive feedback, improvements have been identified for future offerings. Workshop participants found the workshop to be interesting and reported learning about the topics covered, motivating future offerings.Item How Locals Need to Prepare for the Future of V2V/V2I Connected Vehicles(Minnesota Department of Transportation., 2019-08) Parikh, Gordon; Duhn, Melissa; Hourdos, JohnConnected and Automated Vehicles (CAVs) are expected to affect the foundations of transportation operations and roadway maintenance as they become more prevalent on the roadways. This report is an effort to address this complex subject for the various owners, agencies and stakeholders involved in traffic operations. It discusses the connected vehicle ecosystem and its background, potential CAV applications, types of communication and hardware required for CAV systems, and recommendations to local road owners. The report also includes a survey sent to local road owners to assess the current readiness of the transportation system for CAVs. Although it is too early to give specific recommendations, general guidance is provided for road owners to begin preparing for the future of CAVs.Item Minnesota Intelligent Driving Environment Research (MINDER) Program(1994-08) Hancock, Peter A.The purpose of the MINDER program is to create the common simulation resource for human factors and safety researchers in respect to Minnesota Department of Transportation (Mn/DOT) programs. To accomplish this, we have created a simulation capability to re-create part of the I-35W Metropolitan area corridor from the Cross-town commons to just south of downtown Minneapolis. Our purpose in creating this was to allow researchers on different programs to use a common simulation environment. This was the first element of MINDER which was proposed as a larger program to include other segments of the freeway systems of the Twin City Metropolitan region. This corridor is extensively instrumented for traffic flow simulation and control. Successful development and validation of such a simulation environment has allowed a number of particular advantages. It represents, to our knowledge, the first interactively simulated portion of specific urban freeway on any high fidelity simulator. It allows parallel testing of simulation versus actual driving conditions. It is capable of integration with a number of ongoing Mn/DOT, university, and commercial research projects. It provides a human factors testing facility that exceeds most capabilities that currently exist world-wide.Item Scenarios and Justification for Automated Vehicle Demonstration in Rural Minnesota(Center for Transportation Studies, University of Minnesota, 2019-06) Douma, Frank; Petersen, ErinAutomated vehicles (AVs) have the potential to disrupt the current transportation system and culture. While experts debate the exact timeline, the question is likely a matter of when, not if. Therefore, communities of all kinds need to prepare for this future. Small urban and rural communities, in particular, could benefit from the development of the technology, as many of their residents are unable to drive due to age and/or disability. Automated technology could provide a cost-effective and efficient solution for these communities, but so far, most of the AV testing has been conducted in densely populated urban areas. This project provides justification for why rural and small urban communities should host AV demonstrations and how these communities can create a plan to do so. We accomplish this task by providing information about rural and small urban communities and by reviewing the current state of AV technology, the legal environment for AVs, and best practices from past and current AV demonstrations. We also engage with two small urban communities in Minnesota to gather information about real community needs, desires, and limitations.Item A Traffic Data Management System for Navigation, Collision Detection, and Incident Detection(Minnesota Department of Transportation, 1994-06) Shekhar, Shashi; Hancock, Peter A.A traffic data management system is an integral part of an IVHS (Intelligent Vehicle Highway System), which obtains information from road sensors, city maps and event schedules, and generates information to drivers, traffic controllers and researchers. We extend the relational database with abstract data types and triggers to model traffic information in a relational database. Abstract data types are needed to efficiently model spatial and temporal information, since they may create inefficiencies in traditional databases. We use monotonic continuous functions to map the object to disk addresses to save disk space and computation time. A model of spatial data is created to efficiently process moving objects. For IVHS databases, we provide schema that have the relevant abstract data types. We also have a large sample of the relations needed to model IVHS data. Several interesting queries are presented to show the power of the model. Triggers are defined, using rule-definition mechanisms to represent incident detection and warning systems. An efficient physical model with the MoBiLe access method is provided.