The detection of objects in future smart cities has exhibited a dramatically increasing interest over recent years. However, the efforts in this field are limited due to the lack of data that is used for training machine learning models. To overcome these limitations we propose collecting training data using simulations rather than actual implementation. In this project, we construct simulation scenarios of future smart cities. The main interest is to model vehicles that we intend to control using Logitech G29 Driving Force Steering Wheels. We further connect the vehicles that we intend to simulate with virtual LiDAR sensors to collect the data. The collected data will be used to train machine learning models to contribute toward future smart cities.