Dynamic Management of Parking Spaces in Road Rest Areas with Automatic Negotiation

The purpose of this study is to study in depth the effective mechanism of China's vocational education reform to promote the poverty alleviation of precision industries. The purpose of this research is to deeply study the effective mechanism of my country's vocational education reform to promote precision industry poverty alleviation, and investigate the financial aid for poor students and the number of aids of a secondary vocational college for 5 consecutive years. Investigate the number of registered poor agricultural households in a city for five consecutive years, the number of rural labor transfers in employment, and the growth of per capita income of farmers. Taking 100 poor families in a poverty-stricken county as an example to investigate and analyze the educational background, knowledge level and attitudes of parents and students to school. Investigate various major local technical trainings conducted in a city for 5 consecutive years. The results show that the poverty subsidy of vocational schools has increased year by year, and the number of poverty subsidies has also increased. Among them, the intensity of targeted poverty alleviation has also been continuously strengthened. The dynamic management of information on the establishment of filing cards has greatly improved the precision of poverty alleviation and realized dynamic management. Per capita income has also achieved steady growth. At the same time, most parents have a junior high school diploma, and the student's academic qualifications are generally not high. In view of the attitude to school, most parents believe that it is very necessary, but the students think that they can not go up. There are more and more people participating in the main technical training in various localities, and more and more training projects are taking place, and the proportion is gradually increasing. These jobs are of great significance to the development of today's society.

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Food and Beverage Options at Highway Rest Areas in North Carolina: A Mixed-Methods Audit and Geospatial Approach

Preventing Chronic Disease ◽

10.5888/pcd16.190129 ◽

2019 ◽

Vol 16 ◽

Author(s):

Jared T. McGuirt ◽

Grace Huebner ◽

Rachel Ward ◽

Stephanie B. Jilcott Pitts

Keyword(s):

North Carolina ◽

Mixed Methods ◽

Food And Beverage ◽

Rest Areas

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Evaluation of Commercial Truck Parking Detection for Rest Areas

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198118788185 ◽

2018 ◽

Vol 2672 (9) ◽

pp. 141-151

Author(s):

Wei Sun ◽

Ethan Stoop ◽

Scott S. Washburn

Keyword(s):

Software Tool ◽

Vehicle Detection ◽

Ground Truth ◽

Early Morning ◽

Video Data ◽

Sensor Data ◽

Parking Space ◽

Ground Truth Data ◽

Detection Technology ◽

Rest Areas

Florida’s interstate rest areas are heavily utilized by commercial trucks for overnight parking. Many of these rest areas regularly experience 100% utilization of available commercial truck parking spaces during the evening and early-morning hours. Being able to communicate availability of commercial truck parking space to drivers in advance of arriving at a rest area would reduce unnecessary stops at full rest areas as well as driver anxiety. In order to do this, it is critical to implement a vehicle detection technology to reflect the parking status of the rest area correctly. The objective of this project was to evaluate three different wireless in-pavement vehicle detection technologies as applied to commercial truck parking at interstate rest areas. This paper mainly focuses on the following aspects: (a) accuracy of the vehicle detection in parking spaces, (b) installation, setup, and maintenance of the vehicle detection technology, and (c) truck parking trends at the rest area study site. The final project report includes a more detailed summary of the evaluation. The research team recorded video of the rest areas as the ground-truth data and developed a software tool to compare the video data with the parking sensor data. Two accuracy tests (event accuracy and occupancy accuracy) were conducted to evaluate each sensor’s ability to reflect the status of each parking space correctly. Overall, it was found that all three technologies performed well, with accuracy rates of 95% or better for both tests. This result suggests that, for implementation, pricing, and/or maintenance issues may be more significant factors for the choice of technology.

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