Traffic Predictor #10 - Evading traffic like a Bat

4 Nov 2017

Week 9 - Oct 30 - Nov 5

This week I have planned to design and build module 2 & 3 in my trafficpredictor project. Check out the plan - Traffic Predictor #3 - The Plan and revisions, hardware & software list - Traffic Predictor #9 - Revisions and Hardware, Software list for a better understanding of the progress as I pause module 1 progress and shift to progress in module 2 & 3.

Module 2 - Auto-pilot mode with predefined speed using Sensor Expansion board

Module 3 - Speed adjustment with correspondence to current vehicular movement and real-time traffic

This module 2 title has been revised as above to "Auto-pilot mode with predefined speed". Please note in future I will be referring module 2 with the revised title.

Auto-pilot mode - term explained

The term Auto-pilot is used to refer the act of helping the driver/ rider of the vehicle at frustrating times of traffic by providing speed values. This will not mean or involve integrating an auto driving mechanism without a driver/ rider into a fossil fuel/ electricity-powered vehicle. The output from this module in my trafficpredictor project can be used to auto drive electric vehicles [After alterations in the electric vehicle].

Introduction

Module 2 & 3 have been integrated as one module as they both stand out to be similar in terms of functionality. Both are going to output or instruct the driver/ rider to maintain a particular speed. But they have minor difference in the way of gaining the output.

Module 2 - Static speed output from predicted route
Module 3 - Dynamic speed output from real-time traffic

Ultrasonic sensor to measure the speed

An ultrasonic sensor is used here to determine the distance of the moving/ static traffic objects from the vehicle. Using change in distance and time, the speed alteration required in order to avoid a collision can be calculated. The formula to do this would be,

The setup has Ultrasonic sensor [Range: 0 to ~75cm] mounted on a Servo motor which will move from 0 to 180 degrees. This will capture a semicircle RADAR like output as shown below [Processing IDE has been used to display output as graph]. Using this the speed with which the driver/ rider should proceed will be calculated.

Processing IDE showing RADAR like output with input from Ultrasonic sensor

Ultrasonic sensor mounted on Servomotor

Hardware Explained - Video

The below video will explain the various hardware parts used for the entire trafficpredictor project. This has been achieved after a week's time of struggle with soldering, unit testing and integration of all the parts.

Do let me know your comments on the hardware build in terms for improvisation.

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Progress made so far,

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{tabbedtable} Tab Label	Tab Content
Entry & Introduction	IoT on Wheels Design Challenge - Traffic predictor and auto pilot mode Traffic Predictor #1 - The Official Announcement
Plan	Traffic Predictor #3 - The Plan
Initial Setup	Traffic Predictor #2 - Quest for the Code Editor Traffic Predictor #4 - Finally, the kit arrives
Module 1	Traffic Predictor #5 - Machine Learning and Building a case for the kit Traffic Predictor #6 - Into the traffic [Part 1 of 2] Traffic Predictor #7 - Into the traffic [Part 2 of 2] Traffic Predictor #8 - Predicting the best route to avoid traffic [Part 1 of 2]
Module 2 & 3	This blog
Integration	Yet to Begin
Revisions and Hardware, Software List	Traffic Predictor #9 - Revisions and Hardware, Software list