Design and Implementation of a CANBus-Based Eco-Driving System for Public Transport Bus Services

Evin, Egemen; Aydin, Mehmet Burak; Kardas, Geylani · 2020 · DOAJ

DOI: 10.1109/ACCESS.2020.2964119

archive: archived pipeline: cataloged verified

Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)

Summary

This paper addresses the challenge of sustaining fuel efficiency in public transport fleets, noting that while eco-driving training initially reduces fuel consumption and CO2 emissions, its effects often diminish after two to three months. The authors argue that continuous monitoring and real-time feedback are necessary to maintain economical driving behaviors, particularly in heavy-duty vehicle fleets. To solve this, the study introduces a CANBus-based eco-driving system designed to provide both comparative performance evaluations for operators and instant in-vehicle guidance for drivers. The system architecture integrates hardware and software components deployed on public transport buses. Hardware consists of On-board Units (OBUs) connected to the vehicle’s Controller Area Network (CANBus) to collect real-time data, including fuel level, speed, engine speed, and distance, alongside GPS and driver identification data. This information is transmitted via wireless networks to remote servers. The software employs a Model-View-Controller architecture, where an application server processes data to evaluate driver performance, and a database stores historical records. A key methodological innovation is the creation of "comparison groups" to ensure fair evaluation. Drivers are grouped based on identical driving conditions, including route, direction, bus type, season, and time of day. This isolates driver-independent factors, allowing fuel consumption to serve as a reliable performance indicator. The system calculates a weighted average fuel consumption for each driver relative to their group and determines an "economy percentage" to quantify eco-driving performance. The system was implemented and evaluated over a 15-month period in a public metrobus system serving approximately 250,000 passengers daily, with in-vehicle components installed in 64 buses. The evaluation focused on the system's ability to provide fair comparative assessments and real-time feedback. Results indicated that the system achieved fuel savings of up to approximately 5% in short-term monthly comparisons. Both drivers and operators reported finding the system useful. The in-vehicle interface successfully guided drivers by providing warnings when fuel consumption approached or exceeded the average of their comparison group, while the backend system generated daily, monthly, and yearly reports for operational management. The significance of this work lies in its dual approach to eco-driving: combining offline benchmarking with online, real-time assistance. Unlike previous studies that focused solely on either post-trip analysis or instant feedback without comparative context, this system bridges the gap by using peer-group comparisons to provide meaningful, context-aware feedback. This ensures that drivers are evaluated fairly against similar conditions rather than absolute metrics, enhancing the effectiveness of eco-driving initiatives in large-scale public transport operations.

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.

Summary generated by qwen3.6-27b-prismaquant on 2026-06-25; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• eco driving

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Applied Guidance: countermeasure evaluation
• Methodological Resource: tool software