Traffic and Emission Control System

Different emission-gauges share the details of their respective vehicles’ emissions, with the server, where the data is consolidated & used.

AdvancedShowcase (no instructions)3,436

Things used in this project

Hardware components

Arduino Nano R3

Raspberry Pi 3 Model B

MQ135 Gas Sensor

Software apps and online services

Samsung ARTIK Cloud for IoT

Hand tools and fabrication machines

Laser cutter (generic)

Story

Traﬃc congestion is the chief reason for air pollution in Delhi and there is no system in place which can predict and measure vehicle emission and traﬃc in real-time, to reduce air pollution. TRAECY consists of an emission sensing component and a location and velocity tracker: which will be embedded in cars, a transportation-centric integrated navigation (iN) system and an application, which work in conjunction so as to reduce traffic congestion and ultimately reduce air pollution. TRAECY will revolutionise life for the citizens of the city. If implemented, the drivers will have to experience less traffic congestions and air pollution. The system will help in daily navigation, emergency handling and promotion of public transport. TRAECY will also help provide free WiFi all over the city. It has an immense number of applications like management of transactions at toll gates, automatic check on overspeeding, research, predictive modelling, and comprehensive data collection.

Code

import artikcloud
from artikcloud.rest import ApiException
import sys, getopt
import time, random, json
from pprint import pprint
import Serial

def main(argv):

	DEFAULT_CONFIG_PATH = 'config.json'
  poll = Serial.readline()
	with open(DEFAULT_CONFIG_PATH, 'r') as config_file:
		config = json.load(config_file)['TECUnitConfig']
	print(config)
	
	artikcloud.configuration = artikcloud.Configuration();
	artikcloud.configuration.access_token = config['deviceToken']
	
	api_instance = artikcloud.MessagesApi()

	device_message = {}

	device_message['pollution'] = poll

	device_sdid = config['deviceId']

	ts = time.time()

	data = artikcloud.Message(device_message, device_sdid, ts)

	try:
	    pprint(artikcloud.configuration.auth_settings())

	    api_response = api_instance.send_message(data)
	    pprint(api_response)
	except ApiException as e:
	    print "Exception when calling MessagesApi->send_message: %s\n" % e


if __name__ == "__main__":
   main(sys.argv[1:])

import artikcloud
from artikcloud.rest import ApiException
import sys, getopt
import time, random, json
from pprint import pprint

def main(argv):

	DEFAULT_CONFIG_PATH = 'config.json'

	with open(DEFAULT_CONFIG_PATH, 'r') as config_file:
		config = json.load(config_file)['TECUnitConfig']
	print(config)

	artikcloud.configuration = artikcloud.Configuration();
	artikcloud.configuration.access_token = config['deviceToken']

	api_instance = artikcloud.MessagesApi()

	sdids = config['pollution'] 
	try:
	    pprint(artikcloud.configuration.auth_settings())
	    api_response = api_instance.get_last_normalized_messages(sdids=sdids)
	    pprint(api_response)
	except ApiException as e:
	    print "Exception when calling MessagesApi->get_last_normalized_messages: %s\n" % e


if __name__ == "__main__":
   main(sys.argv[1:])
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Traffic and Emission Control System