Use of Vessel Automatic Information System Data to Improve Multi-modal Transportation In and Around the Ports
| 项目名称： | Use of Vessel Automatic Information System Data to Improve Multi-modal Transportation In and Around the Ports |
| 摘要： | One of the major challenges in multi-modal transportation is the alignment in planning the arrival and departure of different modes, e.g. vessels and trucks, such that the containers can be transferred without delays. Although trucking companies may have access to some levels of information in order to track the vessels and cargos, they don�t have accurate estimation for the arrivals of those vessels to the port. Automatic Information System provides a means for ships to electronically broadcast ship data at regular intervals including vessel identification, position, course, and speed. PortVision is a tool that uses the Automatic Information System. By using this tool, the positions of the vessels can be tracked in order to calculate the vessel estimated time of arrivals. It will help the trucking companies to have a better plan for delivering or picking up the containers. If the system detects a deviation from the planned schedule (e.g. a delay in arrival of a vessel), the involved trucking companies are informed pro-actively. Consequently, the related trucks can be re-scheduled at an early stage and waiting times and unsuccessful attempts to deliver or pick up a container can be reduced. The outcomes of the project will decrease unproductive waiting time of transportation vehicles and improve the multi-modal connections in ports. |
| 状态： | Completed |
| 资金： | 80000 |
| 资助组织： | Center for Advanced Multimodal Mobility Solutions and Education |
| 管理组织： | University of North Carolina, Charlotte |
| 项目负责人： | Fan, Wei (David) |
| 执行机构： | Texas Southern University, Houston |
| 主要研究人员： | Qi, Yi |
| 开始时间： | 20170115 |
| 预计完成日期： | 20180930 |
| 实际结束时间： | 20180930 |
相关文献
- Smarter Multi-modal Traffic Signal Control with Both Floating Sensor Network and Fixed Sensor Network
- Evaluating the Performance of Intermodal Connectors in Arkansas
- Mobile Apps and Transportation: Exploring Data Metric Potential and User Response to Multi-modal Traveler Information
- Real Time Classification of Vehicle Types and Modes using Image Analysis and Data Fusion
- Automated Assessment of Safety-critical Dynamics in Multi-modal Transportation Systems
- Developing Massachusetts Specific Trip Generation Models for Land Use Projects
检索历史
应用推荐
