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Tutorials > Internet of Things > IoT Transportation and Logistics

IoT Transportation and Logistics

IoT can be used to improve transportation and logistics by optimizing routes, tracking assets, and reducing costs. Here are a few examples of IoT transportation and logistics applications with code snippets to illustrate their functionality:

  • Vehicle Tracking and Fleet Management with Raspberry Pi and Google Maps API:

Raspberry Pi can be used to track vehicles and manage fleets. Here's an example of using a Raspberry Pi and Google Maps API to track vehicles and manage a fleet:

python
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import time
import requests
import RPi.GPIO as GPIO
from geopy.geocoders import Nominatim

USERNAME = "{your username}"
PASSWORD = "{your password}"
GOOGLE_MAPS_API_KEY = "{your google maps api key}"
FLEET = ["vehicle1", "vehicle2", "vehicle3"]
LOCATIONS = {}

GPIO.setmode(GPIO.BCM)
GPIO.setup(17, GPIO.OUT)

while True:
    for vehicle in FLEET:
        r = requests.get(f"http://{USERNAME}:{PASSWORD}@{vehicle}.local/location")
        location = r.json()
        lat = location["latitude"]
        lon = location["longitude"]
        geolocator = Nominatim(user_agent="myGeocoder", timeout=10)
        address = geolocator.reverse(f"{lat}, {lon}").address
        LOCATIONS[vehicle] = address

    url = f"https://maps.googleapis.com/maps/api/staticmap?center={lat},{lon}&zoom=10&size=400x400&key={GOOGLE_MAPS_API_KEY}"
    r = requests.get(url)

    with open("map.png", "wb") as f:
        f.write(r.content)

    time.sleep(10)

In this example, the Raspberry Pi is used to get the location of each vehicle in the fleet. The geopy library is used to convert the latitude and longitude coordinates to a human-readable address. The Google Maps API is used to generate a static map of the area around the vehicles.

  • Cargo Monitoring with Arduino and Sigfox:

Arduino can be used to monitor cargo and track shipments. Here's an example of using an Arduino and Sigfox to monitor cargo and track shipments:

c++
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#include <Wire.h>
#include <Adafruit_Sensor.h>
#include <Adafruit_BME280.h>
#include <SigFox.h>

#define BME_SCK 13
#define BME_MISO 12
#define BME_MOSI 11
#define BME_CS 10

Adafruit_BME280 bme(BME_CS, BME_MOSI, BME_MISO,  BME_SCK);

void setup() {
    Serial.begin(9600);
    while(!Serial);

    if(!SigFox.begin()){
        Serial.println("SigFox error");
        return;
    }

    SigFox.beginPacket();
    SigFox.print("Temperature: ");
    SigFox.print(bme.readTemperature());
    SigFox.print("C, Humidity: ");
    SigFox.print(bme.readHumidity());
    SigFox.print("%, Pressure: ");
    SigFox.print(bme.readPressure()/100.0F);
    SigFox.print("hPa");
    SigFox.endPacket();
}

void loop() {
    delay(10000);
}

In this example, the BME280 sensor is used to read the temperature, humidity, and pressure inside the cargo. The Sigfox library is used to send the data to the Sigfox IoT platform.

  • Smart Parking System with Raspberry Pi and AWS IoT:

Raspberry Pi can also be used to build smart parking systems. Here's an example of using a Raspberry Pi and AWS IoT to detect and monitor parking spaces:

python
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import time
import RPi.GPIO as GPIO
from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTClient

CLIENT_ID = "{your client id}"
ENDPOINT = "{your endpoint}"
ROOT_CA_PATH = "{path to root ca}"
PRIVATE_KEY_PATH = "{path to private key}"
CERTIFICATE_PATH = "{path to certificate}"
TOPIC = "parking/status"
PARKING_SPOTS = {
    "A1": 16,
    "A2": 20,
    "B1": 21,
    "B2": 26
}

GPIO.setmode(GPIO.BCM)
GPIO.setup(list(PARKING_SPOTS.values()), GPIO.IN)

mqtt_client = AWSIoTMQTTClient(CLIENT_ID)
mqtt_client.configureEndpoint(ENDPOINT, 8883)
mqtt_client.configureCredentials(ROOT_CA_PATH, PRIVATE_KEY_PATH, CERTIFICATE_PATH)

mqtt_client.connect()

while True:
    for spot, pin in PARKING_SPOTS.items():
        if GPIO.input(pin):
            status = "occupied"
        else:
            status = "vacant"
        mqtt_client.publish(TOPIC, f"{spot}/{status}")
    time.sleep(10)

In this example, the Raspberry Pi is used to detect whether parking spots are occupied or vacant. The AWS IoT SDK is used to connect to the AWS IoT platform and publish parking spot statuses to the designated topic. The status of the parking spot is determined by whether or not the GPIO pin is high or low.

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