A model Intelligent Transportation System (ITS) is developed to manage emergency vehicles at traffic intersections using a combination of Python, LoRa, MQTT, and Twilio Sync. The system employs a Raspberry Pi 3 to control traffic signals and a simulated GPS device to track emergency vehicles along a predefined route. Twilio Sync acts as a cloud-based orchestrator, allowing seamless communication between connected devices to ensure traffic lights turn green for approaching emergency vehicles. In addition to internet-based communication, LoRa provides a backup point-to-point connectivity to ensure reliability in case of network failures. The ITS demonstrates how smart city applications can enhance urban infrastructure by facilitating the efficient movement of emergency vehicles, thereby potentially saving lives and reducing property damage during crises.