The random parking problem

1989 ◽  
Vol 57 (3-4) ◽  
pp. 865-869 ◽  
Author(s):  
P. C. Hemmer
Keyword(s):  
Parking Problem ◽  
Random Parking

Design of a Three-Dimensional Garage Control System

2014 ◽  
Vol 556-562 ◽  
pp. 2540-2543
Author(s):  
Hai Yan Yang
Keyword(s):  
Control System ◽  
Three Dimensional ◽  
Land Resources ◽  
Plc Control ◽  
Parking Problem ◽  
Big City

As the car quantity increasing, solve the parking problem is becoming more and more serious, but due to the shortage of land resources in the big city, establish a way of parking which occupies less land is imminent, Three-dimensional garage arises at the historic moment. The design introduced a three-dimensional garage with PLC control; it can realize multi-layer storage of the vehicle, and conform to the requirements of Times.

The Current Situation Analysis of Parking in Baotou Urban Center District and Countermeasures

2013 ◽  
Vol 779-780 ◽  
pp. 784-787
Author(s):  
Jing Fei Yu ◽  
Nan Nan Wang ◽  
Xin Jie Zhang
Keyword(s):  
Current Situation ◽  
Urban Center ◽  
Situation Analysis ◽  
Central District ◽  
Current Situation Analysis ◽  
Random Parking

For parking problems of Baotou: shortage of parking spaces, the unreasonable parking layout, parking difficulty, random parking, and the paper describes the existence reason of parking problems in Baotou urban center district through the current situation analysis of the parking in Baotou urban center district. On this basis, the paper discusses several countermeasures to solve the parking problems of the central district.

Wing Mechanics and Take-Off Preparation of Thrips (Thysanoptera)

1980 ◽  
Vol 85 (1) ◽  
pp. 129-136 ◽  
Author(s):  
C. P. ELLINGTON
Keyword(s):  
Leading Edge ◽  
Morphological Features ◽  
Inertial Forces ◽  
Wing Area ◽  
Trailing Edge ◽  
Lateral Projection ◽  
Parking Problem ◽  
Closed Position ◽  
Open Position ◽  
Fringe System

1. All of the wing fringe cilia of Thrips physapus, except those along the hindwing leading edge, pivot in elongated sockets which lock them into two positions. 2. The wings lie parallel over the abdomen when not in use, with the cilia locked in the closed position at an angle of 15-20° to the wing axis. The closing of the fringes prevents entanglement of the trailing edge cilia and lateral projection of the forewing leading edge cilia. 3. During flight the cilia are locked in the open position, doubling the wing area. The locking force is stronger than the combined aerodynamic and inertial forces on the cilia. 4. The fringes are opened by abdominal combing and closed by tibial combing. 5. The same morphological features are found in other members of the sub-order Terebrantia. Parallel wings at rest are characteristic of this suborder, and the collapsible fringe system is viewed as an effective method for parking the wings. 6. The fringes of the sub-order Tubulifera are not collapsible. The wings overlap on the abdomen at rest and a similar parking problem does not arise.

Analysis on Parking Problem for Residential Area

2012 ◽  
Vol 193-194 ◽  
pp. 1075-1078
Author(s):  
Xue Ying Wang ◽  
Chun Xiang Liu ◽  
Dong Xu
Keyword(s):  
Difficult Problem ◽  
Paper Analysis ◽  
Residential Area ◽  
Residential Areas ◽  
Parking Problem ◽  
Parking Facilities ◽  
Day By Day ◽  
Living Area ◽  
The Way

Currently, small car quantity of residents in the our country city is raise year by year.The parking problem of in each city's living area is outstanding day by day. Aimming at the difficult problem of parking the car, The paper analysis the reason for producing it, probes the countermeasures and solutions to the parking problems in residential areas from two aspects of parking index and the way of parking facilities.

scholarly journals Automatic Parallel Car Parking System using Sensors and Arduino UNO

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3531-3534
Keyword(s):  
Parallel Parking ◽  
New Model ◽  
Parking Lots ◽  
Electric Cars ◽  
Electric Car ◽  
Parking Problem ◽  
Parking System ◽  
Arduino Uno ◽  
Pass Through

In this busy world, people are tending towards automation in all routine works which in turn is saving their time. Due to the increased use of cars and congesting places, everywhere we are facing a queue to pass through. One such queue we face is in the parallel parking lots. For solving this problem, many automobile manufacturers have come up with Auto Parking Features in New Model Cars. Then what about Old Cars? Shouldn’t those Old Cars get modified with this Auto Parking facility? Yes, they can get modified with our proposed solution. In this paper, we are presenting a solution in the form of a module for the parallel parking problem called “Automatic Parallel Car Parking System – using Sensors and Arduino UNO”. Along with New Cars, this module can also be integrated with Old Electric Cars to bring Auto Parallel Park feature. This paper also discusses existing Auto Parallel Parking Systems. It also discusses the proposed solution by solving the flaws in existing solutions. The proposed solution is easily adaptable, with small modifications to an electric car. Future enhancements are also proposed.

scholarly journals Paris car parking problem for partially oriented discorectangles on a line

2020 ◽  
Vol 102 (1) ◽  
Author(s):  
Nikolai I. Lebovka ◽  
Mykhailo O. Tatochenko ◽  
Nikolai V. Vygornitskii ◽  
Yuri Yu. Tarasevich
Keyword(s):  
Parking Problem ◽  
Car Parking Problem

Optimal stopping in the parking problem with U-turn

1988 ◽  
Vol 25 (2) ◽  
pp. 363-374 ◽  
Author(s):  
Mitsushi Tamaki
Keyword(s):  
Optimal Stopping ◽  
Optimal Policy ◽  
Relative Speed ◽  
Time Duration ◽  
Expected Time ◽  
Parking Problem

A motorist drives his car toward his destination along a street and looks for a motor pool. Motor pools are assumed to occur independently, with probability p. Observing whether there exists a motor pool or not, the driver decides either to stop (i.e., return to the latest motor pool observed so far and park there) or continue driving. Once the driver stops, he walks the remaining distance to his destination. Let r, 0 < r < 1, be the relative speed of driving a car compared with that on foot. Then the time duration required to reach the destination is measured by r · (distance driven) + (distance on foot) and the objective of the driver is to find a parking policy which minimizes the expected time duration. It is shown that, under an optimal policy, a U-turn never occurs before the destination, but may occur beyond the destination. Moreover, the expected time is computed and some comparisons are made between our problem and the classical parking problem.

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