详情

Smart Truck Driver Assistant: A Cost Effective Solution for Real Time Management of Container Delivery to Trucks

项目名称：	Smart Truck Driver Assistant: A Cost Effective Solution for Real Time Management of Container Delivery to Trucks
摘要：	Truck turn times have a significant impact on the tactical and operational planning for a transportation network. In particular, the longest cycle time (in contrast to commonly presumed average cycle time) plays a critical role in successful planning of the events in the network. For example, if average turn time is the only parameter used in planning while truck turn time variance is large, then the schedules need to be revised repeatedly. Hence, determining accurate turn times is an essential factor in efficient, productive and cost-effective supply chain operations. There have been several attempts to measure and study truck turn times at the Los Angeles and Long Beach Port terminals. However, most studies so far relied either on installing expensive equipment on a few select trucks to track them or on using inaccurate and error-prone methods of data collection. Lack of proper and precise data measurements is an obstacle in developing and implementing appropriate policies with respect to port productivity. In this project proposes to obtain accurate truck and port monitoring data at no additional equipment cost. The system will utilize the rich sensors of ubiquitous smartphones to track all movements of trucks outside and inside terminals. It will allow the measurement of truck turn times more accurately than before by using global positioning system (GPS), network antenna and inertial sensors of truck drivers' smartphones. The algorithms will then analyze collected data to derive real time and detailed models of cargo traffic flow in and around terminals. The mobile phone application additionally will provide information to drivers as well as port and terminal authorities. This will ensure the use of the application by port stakeholders and hence in turn allow us to collect the needed data. This cost-effective and efficiently collected data can be employed to build a comprehensive database of port transportation. The proposed project has significant potential to be further extended. Future work on the mobile platform could facilitate easier communication between truck drivers and terminals. This will likely reduce the number of trouble tickets issued and hence lead to additional productivity. The proposed system will ultimately act as a digital hub for truck drivers who access the ports. It will allow for large scale and accurate truck data collection as well as information dissemination to drivers at no extra cost to stakeholders.
状态：	Completed
资金：	74,928
资助组织：	California Department of Transportation
项目负责人：	Valentine Deguzman, Victoria
执行机构：	National Center for Metropolitan Transportation Research
主要研究人员：	Englert, Burkhardt
开始时间：	20150101
预计完成日期：	0
实际结束时间：	20151231