I have been assigned a research topic: understanding the effect of GPS Vehicle Tracking Solutions on fuel consumption for a public fleet. I am using this information to create a business case.
In a nutshell, The proposed solution allows fleet operators to monitor, in real-time, the location and attributes of every single vehicles (including direction, speed, idle time, etc..). We will do this by installing device in the vehicles (each device is actually a GPS receiver, and a GPRS transceiver. Location Information is sent to a server on the internet, which renders the information on a map).
By reading several papers on the internet, we were able to pinpoint the different variables of this setup that affect fuel economy.
The savings are all driven by:
- Selecting the most appropriate routes: With GPS, the drivers will select the best route to a destination.
- Minimizing the number of non-authorized journeys: With Tracking devices installed, the drivers will know that they are monitored, and will therefore stop any unauthorized journeys.
- Reduce Fuel Fraud: The tracking devices can be extended with sensors that connect to the fuel lid. If the lid is open, an alert is directly sent to the fleet operator. With this feature installed, Fuel fraud is minimized.
- Idle time: when a vehicle is turned on but doesn’t move, a lot of fuel is consumed. In most cases, it is more economical to turn the engine off than leaving it idle. With tracking devices, the drivers will know that they are sending an "idle" status, and will therefore resort to turning their engines off.
Based on the study, it is found that savings all happen due to psychological factors that affect the drivers. The saving appear when the drivers are made aware that they are tracked, and that full visibility on their location is a feature their fleet operators can request.
I need to experiment this hypo-thesis, and the validity of these variables.
My main goal is to calculate the number of occurrence of each variable above, and its quantity. For example, I would like to collect the number of times a vehicle stays idle.
Then, I would like to install VTS tracking devices in the vehicles, and perform the same test. My goal is to see a reduction in the number of idle times, and to quantify it into fuel saving.
My problem lies in data-collection. I can not collect data about these variables without using a device in the first place.
But the moment I install a device, the driver will directly know that he’s tracked, and I will not have proper readings anymore.
I think I am facing an observer effect, but I don’t know how to resolve it.
Do you have any suggestion?
It’s very similar to the fake CCTV cameras they deploy in offices..
Yet, my goal is to quantify the fuel savings.. this won’t be an internal deployment, so I need to showcase the benefits quantitatively.
You’re both right. But how do I still resolve what I’m facing? Ultimately, I want a baseline (driving pattern before installing GPS), and adjustment (pattern as soon as GPS is installed).
I can’t collect the former with the GPS device in the first place..
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Falcon-i vehicle tracking system or Automatic Vehicle Location System (AVL) is an innovative technology that enables one to track or monitor the location of the vehicle in an instant time. The system functions with the help of different technologies like the Global Positioning System (GPS), traditional cellular networks such as Global System for Mobile Communications (GSM) and other radio frequency medium. Vehicle tracking systems are mainly used in transportation and logistics industry to keep real-time track of all vehicles and assets in the fleet. The tracking system consists of GPS device that brings together GPS and GSM/GPRS technology using tracking software. The attached GPS unit in the vehicle sends periodic updates of its location to the route station through the server of the cellular network that can be displayed on a digital map. The location details are later transferred to users via GPRS, SMS, e-mail or other form of data transfers.
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