Parking space management for urban society

DESCRIPTION OF THE ENTREPRENEURIAL CASE

Keywords: Climate, Energy and Mobility

In our region, housing projects, mainly 4 storey apartment constructions were typical because of lowered taxes on building materials and businesses. Urbanization rises traffic in the cities. In our county, Győr-Moson-Sopron the owned car number increased from 140k (2011) to 190k (2018), it is a 35% rising. In Győr, -the county town of Győr-Moson-Sopron- 129k (2011) 125k (2018) people are living, it is a decrease with 3,2%. County-s population is 462k, so Győr has the 27% of the county-s population. The effect of urbanization, and being the administrative center means concentrated traffic and stationary vehicle load. In this case, we will deal with the problem of parking lot usage by commuters (stationary vehicle space).

The problem of seeking for parking lot is one that traditionally the driver has to solve. It consumes time, energy, and proportionally higher mental stress compared to driving with traffic flow. Usual solutions as designated parking lot, and private garage are outdated, and saturated. They inherently means low space utilization and high cost, because you have to buy a garage (nighttime storage), or your employer has to deal with maintain designates parking lot (daytime storage), and it is only used by few people.

Our target audience is the driver on 1+ levels (Check SAE levesl 0-5), our service is based on information gathered from public and non public databases whose consist everyday usage, and exact position of parking lots. Our service essentially is to determine parking lot (options) as close as possible to the destination, eliminating time and energy wasting.

Questions that need answers

Technical aspect

• Make a plan for the system to send data through public and private networks. (VANET, 802.1p WAVE, 5G, etc...)

• Design the plan of the multi-platform application (frontend) to interact with the consumer. (user interface, phone app, on board app)

  Do investigation and research about mathematical methods for estimate parking space, parking lot occupancy.

• Make a plan about the (backend) software algorithm, what it is doing to provide the quality of service. Input data, output data, computational resources needed.

• Do a technical risks list: for example delay estimation, causes, effects.