Autonomous
Truck

Dashboard

This was an assignment that I had worked on. Company X has recently purchased ‘N’ self driving trucks. These trucks are connected to the Internet and get runtime route, traffic, weather etc. They send periodic stats (location, load, fuel, vehicle health, etc. ) to a centralized telemetry system. They want to venture into logistics business where customers can demand a truck to ship a load from point ‘A’ to ‘B’ (Like we book cab using Uber).

TMS_Animation.gif

Overview

The company has freshly ventured into the logistic business and needs a complete solution to manage overall data to analyze and compare it for smooth functioning. And also
to come up with the system for carrier breakdown.

Pain Points  
 

- There is no aligned process for smooth functioning.

- How to resolve accidents and network issues.

 

Strategy  
 

As the dashboard will be a holistic solution for all the business needs, Hence, it will be used frequently, should be Effective, Memorable, and Efficient. Should help the users to recognize, diagnose, and recover from errors. 

 

Market Segment

 

Large scale manufacturers from the States of America.

Executive Intent

 

To increase the number of trips by identifying the choke points, increase efficiency, and reduce overall cost.

Intend.jpg

Research Insights

Autonomous Trucks have immense potential.
Some of the advantages are:  

 

- Decrease in delivery time

- Increase in the number of trips

- Cuts driver costs

- Less maintenance, more value

- Greener technology, no fuel

- Reduce accidents related to driver errors

 

Technologies requirement:  

- Lidar Unit: Generate a 360-degree image of the surroundings.

- Radar Sensors: To measure the distance of the obstacles.

- Cameras: To detect traffic lights, signs, and moving objects.

- Main Computer: To Analyze and compares data with stored maps.

- GPS: To track the location.

 

Logistics:  

Packaging, Containerization, Documentation, Insurance, Storage, Importing and Exporting Regulations, Freight Claims Management,
Choosing FTL and LTL freight class for your shipment, Working and collaborating with other executives within the supply chain, Managing vendors and partners, Plan for mitigating risk and expenditures

 

Information Required:  

Vehicle number, Location, Order number, Time, Date, Health Status, Charges, Pickup Date/time, Destination, Freight weight, Total Orders, Delivered, In Transit, Cancelled Order, Statistics, Vehicle battery, service due, Device working, Distance.

 

Freight weight:

 

2.5, 25, 50, 100 MT

Analyse

1/2
Root Cause Analysis.jpg
Process.jpg
Conceptual Model.jpg

Strategy

Task prioritisation-14.jpg
Information Architecture.jpg
Information Architecture2.jpg
Critical Thinking
  1. Hacking of the system and truck is missing.

  2. Technician met with the accident during his way to repair the truck.

  3. GPS of the technician stopped working and not able to trace him.

  4. Truck met with the accident.

  5. Truck stuck in the restricted area.

  6. Technical issues on the way.

  7. Truck has started its journey and the customer canceled the request.

  8. Unfavourable weather conditions.

  9. Main system issues.

  10. Wrong route taken by the system.

  11. Long loading time.

Design

Paper Sketches-18.jpg
Paper Sketches-19.jpg
Paper Sketches-20.jpg
Paper Sketches-21.jpg
Final Design-23.jpg
Final Design-22.jpg