A fleet vehicle can be driven by 3 different drivers in the same day. When an accident happens at 2pm, or a speed alert triggers at 10pm, the first question is: who was driving? Without an identification system, that question has no answer. With one, it is a piece of data available in two clicks.
Why Driver Identification Is a Real Operational Issue
The question "who was driving?" is not trivial. It determines legal accountability, the validity of driving reports, and the ability to manage individual behavior within your team.
- Liability in case of an accident: insurance and Senegalese law hold the driver responsible, not the vehicle. Without identification, the company absorbs everything with no recourse against the at-fault driver.
- Attribution of violations: radar tickets, fines, property damage: impossible to assign to a specific driver when the vehicle is shared and identification is absent.
- Individual driving score: a driving score aggregated at the vehicle level does not reveal which driver brakes harshly or takes corners too fast. Behavioral improvement requires individual attribution. See Driver Score: Impact on Safety and Costs.
- Customer disputes: "your delivery driver was disrespectful" : without knowing who was driving, it is impossible to address the complaint or coach the right person.
- Fuel fraud: attributing kilometers and refuels to the right driver requires knowing who was driving when.
The 4 Methods for Driver Identification
Method 1: Manual assignment in the software
The fleet manager, or the driver themselves, enters in the app which driver is taking the vehicle and at what time. The entry can be done before departure, after the fact, or as a scheduled time slot.
Advantages: simple, no additional hardware, works with any GPS device.
Limitations: depends entirely on the discipline of drivers and managers. If no one fills in the assignment, the data is missing. Entries can also be falsified.
Best suited for: small fleets with stable assignments, meaning the same driver on the same vehicle every day.
Method 2: iButton / RFID tag
An RFID badge or iButton (a metal key fob with an electronic chip) is assigned to each driver. The GPS device reads the badge at ignition and automatically links the driver's identity to the trip, with no manual entry needed.
Advantages: automatic and reliable identification. The data is captured before the vehicle even moves.
Limitations: requires a compatible device with an iButton reader, which is not the case for all models. Each driver must have their own badge. If a driver forgets their badge or lends it to a colleague, identification fails.
Best suited for: medium and large fleets with frequent driver rotation, where multiple drivers share the same vehicles across successive shifts.
Method 3: Schedule-based inference
Driver assignments are entered in advance in the software as a weekly schedule. The system automatically links the scheduled driver to trips made within their time slots.
Advantages: no additional hardware and no entry at departure time. If the schedule is followed, identification is automatic.
Limitations: in the event of a last-minute replacement, delay, or overtime, the attribution is wrong. The method assumes a very regular and predictable organization.
Best suited for: fleets with regular, predictable schedules, such as planned delivery routes or taxi fleets with fixed shifts.
Method 4: In-cab camera (driver-facing dashcam)
A camera facing the driver visually identifies who is at the wheel. The most advanced systems include automatic facial recognition that matches the detected face to a registered profile.
Advantages: certain identification, with visual evidence usable in disputes or disciplinary proceedings.
Limitations: higher cost (200,000 to 500,000 FCFA per vehicle for professional systems), privacy concerns for drivers, installation and maintenance complexity.
Best suited for: high-value transport fleets, armored vehicles, or high-security contexts where irrefutable proof is a requirement.
Method Comparison
| Method | Reliability | Additional Cost | Complexity | Best Suited For |
|---|---|---|---|---|
| Manual assignment | Low to medium | None | Low | Small fleet, stable assignments |
| iButton / RFID | High | 5,000 to 15,000 FCFA / badge | Medium | Medium or large fleet, frequent rotation |
| Schedule inference | Medium | None | Low | Regular, predictable schedule |
| In-cab dashcam | Very high | 200,000 to 500,000 FCFA | High | High security, high-value transport |
What Traxelio Supports Today
Traxelio integrates driver identification directly into the fleet management platform:
- Manual driver assignment by trip or time slot from the dashboard, with minimal friction for managers
- Activity reports by driver: kilometers driven, driving time, behavioral score, per named driver when the assignment is filled in
- iButton compatibility on device models that support it (check the list of compatible trackers to verify)
- Role-based access: each driver can view their own data from their account, without seeing their colleagues' information. See Team Access and Role Sharing.
Driving events (acceleration, braking, cornering) are linked to the identified driver, making driving behavior tracking individual and actionable.
Best Practices for Reliable Identification
The chosen method is only effective if it is applied consistently. Here are the practices that make the difference in well-managed fleets:
- Create a driver account for every driver in Traxelio, even if they never log in themselves. This is the prerequisite for being able to select them in assignments.
- Establish a clear, non-negotiable rule: the driver taking a vehicle fills in their name before starting. In practice, this takes ten seconds. The manager must enforce it from day one.
- Review assignments at the end of each week during team meetings: gaps in the history, meaning trips with no assigned driver, are immediately visible in Traxelio and signal a discipline or data-entry issue.
- For fleets with frequent rotation: invest in devices with an iButton reader if the stakes (liability, fraud prevention, individual scoring) justify it. The per-badge cost is generally recovered within a few weeks.
Legal Aspect: Using Driver Identification in Disciplinary Proceedings
Driver identification raises an immediate practical question: can this data be used to discipline a driver?
Yes, under two cumulative conditions:
- The driver was informed in writing, before the system went live, that driving and identification data is being collected. See the full legal obligations in GPS Tracking of Employees: Legal Framework in Senegal.
- The data is collected in the course of work, on a company vehicle, during working hours.
Driver identification data collected within this framework is admissible as evidence in an internal disciplinary process or before the competent courts. Conversely, data collected without prior notification to the driver cannot be used against them, and the employer would be exposed to a procedural defect.
Conclusion
Knowing which driver was at the wheel is a prerequisite for turning a vehicle GPS into an individual management tool. Without attribution, driving data remains anonymous and offers limited actionability: you know what the vehicle did, not who was driving it. The simplest method remains manual assignment for small fleets with stable assignments. For fleets with frequent rotation, iButton delivers the reliability that manual entry cannot guarantee over time.