Designing of Parking Spaces on Parking Taking into Account the Parameters of Design Vehicles

Abstract

Nowadays, in all cities, there is an acute problem of a lack of parking spaces. The number of vehicles is constantly increasing not only in big cities and megacities, but also in small towns of the country, and there are not enough parking places­—the pace of solving the problem is several times slower than the growth rate of transport among citizens. The paper is dedicated to the determination of an optimal size of a parking place for design vehicles in a parking space as an element of roads. In the example of passenger cars and trucks, the optimal number of parking places is presented. The results of the research on the dimensioning of parking spaces serve as recommendations and can be used for the design of objects of transportation infrastructure. According to the research, authors introduce the term “design vehicle” and provide its definition. They also figure out optimal parameters for each design vehicle and recommend a special template for designing parking places.

Study of the Digitization Level of Manufacturing Companies

“…However, Smart Factory does not end with the implementation of a digital twin. With the help of algorithms and artificial intelligence, it performs data mining from historical data, relationship correlation analysis, or future state prediction, evaluates it, and optimizes real company processes (Mikusova et al, 2020). There are no traditional chains in a smart factory, but a factory network and all processers are connected.…”

Determination of Turning Radius and Lateral Acceleration of Vehicle by GNSS/INS Sensor

“… Research focused on dynamics of freight transport vehicles: Shojaei et al [ 20 ], Wang and He [ 21 ], Braghin et al [ 23 ], Lewington [ 24 ], Balson et al [ 25 ], Zhang et al [ 26 ], Qu et al [ 27 ], Ikhsan et al [ 28 ], Senalik and Medanic [ 29 ], Ibrahim and Singh [ 30 ], Winkler et al [ 31 ], Romero et al [ 32 ], Jiang et al [ 33 ], Cao et al [ 34 ], Tavassoli Kallebasti et al [ 35 ], Huang et al [ 36 ], Mischinger et al [ 37 ], Marienka et al [ 49 ]—most of the references listed before the hyphen applied simulation and numerical methods; however, results in field exploitation were presented, e.g., in Winkler et al [ 31 ], Mischinger et al [ 37 ], Skrúcaný et al [ 48 ], Skrúcaný et al [ 47 ], Vlkovský et al [ 52 ], Vlkovský et al [ 51 ]. Research focused directly on drivers: Nash et al [ 38 ], Plöchl and Edelmann [ 39 ], Allen et al [ 40 ], Eboli et al [ 41 ], Xu et al [ 42 ], della Rossa et al [ 43 ], Mikusova and Abnunazarov [ 56 ], Mikusova et al [ 57 ], Kavinmathi et al [ 44 ], Loman et al [ 10 ], Rouillard et al [ 54 ]—here it is worth underlining that research on drivers of freight transport vehicles was included solely in Allen et al [ 40 ]. …”

Dynamic Simulation Tool for Planning and Optimisation of Supply Process

“…When designing and implementing a new manufacturing system, introducing or implementing changes, several questions arise as to how to select the appropriate type of production facility, how to incorporate it into the production disposition, how to deal with tool logistics and chip management, how to select the appropriate type of transport and handling system (type, number, runways, speed) or for job shop scheduling [11][12][13]. Simulation as an optimisation tool is increasing on importance and can be used as a tool to validate proposed solutions without interference with the real system and errors is eliminating in the preparation phase [14,15]. The obtained possibility is here to authentify planned changes and find the appropriate model or aid right before its actual realisation.…”