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Commercial Passenger Fleet Telematics and Diagnostics
Cojali is introducing a comprehensive commercial vehicle data ecosystem that integrates predictive maintenance and real-time sensor analytics to optimize bus fleet operations.
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Cojali S. L. is presenting its Jaltest Telematics and Jaltest Diagnostics platforms, designed to provide commercial passenger vehicle operators with direct electronic control unit (ECU) data and remote maintenance capabilities. The hardware and software solutions target the road passenger transport sector by addressing the specific operational requirements of combustion and electric bus fleets.
Direct Vehicle Data and Telematics Integration
The technologies are scheduled for display at the IBE Intermobility Future Ways 2026 exhibition at the Rimini Expo Centre in Italy from November 24 to 26, located in Hall C1, Stand 024. The Jaltest Telematics platform bypasses standard GPS tracking by extracting data directly from the vehicle's electronic control units. This direct access allows fleet managers to deploy predictive maintenance models, detecting parameter anomalies before mechanical failures occur and scheduling workshop interventions based on actual component wear rather than fixed intervals.
To measure and alter driving efficiency, the system utilizes the Jaltest Real Time Ecodriving (RTE) module. Mounted on the dashboard, the RTE module processes telemetry signals from the vehicle and the T-VOD module to assess driver behavior. It triggers immediate alerts for abrupt acceleration, heavy braking, and extended idling. Regulating these parameters lowers fuel consumption and reduces physical wear on brake pads and powertrain components.
Diagnostics for Electric Bus Architectures
For electric bus fleets, Jaltest Telematics interfaces directly with the vehicle's Controller Area Network (CAN) bus and the Battery Management System (BMS). The software tracks continuous state-of-health metrics, including battery range, charge cycle counts, internal temperature gradients, and cell voltage fluctuations. Cross-referencing CAN data with BMS diagnostics enables operators to monitor battery degradation and ensure operational continuity across transit routes.
Environmental Monitoring in Urban Transit
The platform also functions as a node for auxiliary sensor hardware, including mobile air quality stations mounted on urban vehicles. These sensors measure concentrations of carbon monoxide (CO), nitrogen dioxide (NO2), particulate matter (PM2.5), and ozone, alongside ambient temperature, humidity, and acoustic noise levels. By crowdsourcing this telemetry through the public transport infrastructure, municipal authorities can generate dynamic air quality maps to monitor and enforce Low Emission Zones (LEZs).
Independent Workshop Diagnostic Infrastructure
To support the physical repair phase, Cojali provides the Jaltest Diagnostics software and hardware interface for independent and operator-owned workshops. The multi-brand diagnostic tool grants technicians access to proprietary fault codes, interactive wiring diagrams, and step-by-step troubleshooting guides. The software receives three annual updates to maintain compatibility with new electronic architectures and emission standards entering the market. This diagnostic software operates in tandem with Jaltest Tools, a portfolio of physical workshop equipment engineered to execute the required testing and sensor calibration procedures on commercial vehicles.
Additional Context
This section details technical specifications and competitive benchmarking not included in the original news release.
In the heavy-duty and commercial vehicle telematics sector, the Jaltest platform competes directly with multi-brand diagnostic and fleet management systems from TEXA (such as the TEXA eTruck solution) and Bosch. While conventional telematics providers often specialize in standard GPS tracking and basic CAN data extraction, Cojali and TEXA differentiate themselves through deep, workshop-level diagnostic integration.
Jaltest’s primary technical differentiator is its bidirectional communication architecture. This capability allows fleet managers and remote technicians to not only read standardized OBD-II and proprietary OEM fault codes but also to actively clear codes, reset parameters, and initiate forced diesel particulate filter (DPF) regenerations remotely. Furthermore, the integration of external environmental monitoring sensors directly into the vehicle's primary telematics node offers a distinct localized data-gathering mechanism for municipalities, a feature generally absent from purely logistics-focused fleet management platforms.
Edited by Aishwarya Mambet, Induportals Editor, with AI assistance.
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