Izmir Metropolitan Municipality, which has taken important steps towards digitalization with its smart city target, continues to implement artificial intelligence and technology-based applications. Three projects of Izmir Metropolitan Municipality were entitled to receive grants from the Digital Transformation Financial Support Program in the Public, opened by İZKA.
Izmir Metropolitan Municipality continues to work with the target of smart city. Three projects of the Metropolitan Municipality, which facilitate the lives of the citizens with technology-based applications, were entitled to receive grants from the 2022 Public Digital Transformation Financial Support Program opened by İZKA. Information Processing Department "Digital City Design and Management System", ESHOT "Telemetry System", Metropolitan subsidiary İZELMAN A.Ş. on the other hand, entered the list with the “Smart City, Smart Parking Lots” project. The Metropolitan Municipality aims to increase the number of technology-based applications and to use municipal and city resources effectively.
Digital City Design and Management System
Metropolitan Municipality IT Department will establish a data flow system with the project "Resilient Izmir: Digital City Design and Management System". With the LoRaWAN system, in which parameters that provide predictions about disaster, adaptation to climate crisis and urban design will be evaluated as well as weather conditions, urban risks will be determined and necessary measures will be taken.
Gateway, meteorological data and temperature modules will be installed on 20 radio towers operated by the metropolitan municipality, and they will be made operational to cover 80 percent of the city. The data to be collected will be shared with the relevant institutions in order to take necessary measures in regions with high disaster risk. It will also be opened to citizens on the Open Data Platform.
Early response to disaster situations in all areas where the LoRaWAN system is installed, prevention of forest fires before they occur, continuity of communication infrastructure, occupancy rates of garbage containers, measurement of energy infrastructure, remote control of street lighting systems, water meter reading, sea water temperatures, soil fertility in agricultural lands, transportation vehicles It is planned to measure environment and passenger data and to implement many projects in the field.
The LoRaWAN system will also work on a 7/24 basis. Even in the event of a disaster, instant data can be obtained from the field by providing an uninterrupted communication network. The project will be completed in 15 months.
Smart City, Smart Parking Lot
With the “Smart City, Smart Parking Lots” project of the metropolitan subsidiary İZELMAN A.Ş., 81 İZELMAN parking lots will be included in the full smart parking automation system. With the implementation of the vehicle recognition system through the license plate, it is aimed to increase the security in the car parks, to identify users such as subscribers and the disabled, and to make tariff-specific pricing. In addition, with the central management panel, real-time full-empty information will be accessed in all parking lots and reporting can be done with a single click. With the mobile application, citizens will be able to check the nearest parking lot, parking lot occupancy and reach the nearest empty parking lot by navigation. Thus, it is aimed to reduce the time spent searching for parking and fuel consumption.
New payment options will also be offered with mobile payment systems. During peak hours, the mobile payment system will make it possible to increase the speed of exit from the parking lot. The project also aims to contribute to the reduction of carbon emissions.
telemetry system
With the "Improving Corporate Business/Decision Making Processes with Digital Data from the Bus" project prepared by ESHOT General Directorate, a digital infrastructure will be established with approximately 150 different sensor data, some of which can be accessed manually, with telemetry devices to be mounted on buses. Thanks to the data, the usage data of buses and drivers will be monitored in detail.
With the big data obtained from the buses, it will be possible to focus on special purposes such as occupancy rate, driver behavior, line analysis, fuel consumption amounts, emergency fire-accident-fault notifications.
In this way, ESHOT will be able to send leading warnings to the relevant units, and potential malfunctions will be detected immediately. There will also be significant savings in spare parts and maintenance costs.
With the project, it is also aimed to reduce the fuel consumption of buses and reduce exhaust gas emissions by detecting vehicles that are idling for longer than average time and detecting human-induced errors.
At the same time, driver classification (good-medium-weak) will be made with the driver's report cards to be produced on the basis of vehicle usage data, and drivers with bad driving behaviors will be retrained.
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