MADONNA: A Multi-Attribute Decision-Making Optiizer for Next-Generation Network-Upgrade and Assessment--Workshop and Professional Development for all VDOT Districts
| 项目名称： | MADONNA: A Multi-Attribute Decision-Making Optiizer for Next-Generation Network-Upgrade and Assessment--Workshop and Professional Development for all VDOT Districts |
| 摘要： | Despite the fact that traffic signals have critical and direct impacts on traffic safety, delay, and the environment, there are no off-the-shelf optimization tools for system-wide assessment and/or upgrade of control hardware/software to improve the overall signal system performance. Signal equipment upgrade decisions are often made based on subjective experience of senior traffic engineers. This proposed research and implementation effort aims to capitalize on a recent successful research development, Multi Attribute Decision-making Optimizer for Nextgeneration Network-upgrade and Assessment (MADONNA), that emerged during a research project conducted to address needs raised by Virginia northern region. The proposed work will extend the system to address the regional needs in all other Virginia Department of Transportation (VDOT) districts. Workshops developed and delivered as part of this project will present effective outreach and professional development activities. With more than 270 thousand traffic signals in the United States, and despite their critical and direct impacts on traffic safety, delay, and environment, there are no existing optimization tools for system-wide assessment and/or upgrade of control hardware/software to improve system performance. This is especially critical since a large percentage of these signal systems have obsolete and aging technology that cannot keep up with the growing traffic demands. Most system improvement decisions today are subjective, leading to degraded system performance over time]. Some of the previous projects [5, 6] dealing with developing plans for future signal systems had no clear recommendations or detailed upgrade plans. Large and systematic system evaluation efforts are usually challenging due to: (1) Wide spatial area under purview, (2) Direct impact of the upgrade process on transportation users safety and mobility, (3) Time required for installation and integration of the equipment, (4)Budget constraints and federal funding opportunities, (5) Agency’s work schedule and availability of resources, and (6) Requirement for adjusted operations while in transition period. The research and outreach effort proposed here is focusing on developing user-friendly applications for a system that was originally developed to meet the needs of the Northern Region Operations (NRO) of the VDOT. NRO needed to determine when/if the existing system should be replaced or retrofitted, with a clear and optimal path of migration, including spatial and temporal schedule for the upgrade to the selected system. A Multi Attribute Decision-making Optimizer for Next-generation Network-upgrade and Assessment (MADONNA) was developed to address these needs. This research will therefore capitalize on a recent successful effort, and extend it to address the regional needs in all other VDOT districts (and especially the Central District that has an immediate need). Workshops developed and delivered as part of this project will present effective outreach and professional development activities. |
| 状态： | Active |
| 资金： | 15000.00 |
| 资助组织： | Mid-Atlantic Universities Transportation Center |
| 执行机构： | Virginia Tech Transportation Institute |
| 开始时间： | 20130815 |
| 实际结束时间： | 20140814 |
| 主题领域： | Construction；Design；Highways；Operations and Traffic Management；Safety and Human Factors |
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