Advanced Traffic Signal Control Algorithms Phase II
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Summary
This report details the development and field testing of an in-vehicle Eco-Approach and Departure (EAD) system designed to reduce fuel consumption and greenhouse gas emissions at signalized intersections. While previous research demonstrated significant fuel savings (10–25%) using fixed-time traffic signals in idealized conditions, this study addresses the limitations of those findings by focusing on actuated traffic signals, which adjust timing based on real-time traffic detection. The primary motivation was to determine the achievable fuel-saving performance in real-world traffic environments where signal phase durations are uncertain and vehicle interactions are present. The researchers from California PATH, UC Berkeley, and UC Riverside developed two distinct trajectory planning algorithms to provide speed advice to drivers. These algorithms utilize Dedicated Short Range Communication (DSRC) to receive Signal Phase and Timing (SPaT) and Geometric Intersection Description (GID) data from intersections. The system calculates optimal speed adjustments to allow vehicles to pass through intersections on green or decelerate efficiently to stop at red lights. The study also evaluated three different Driver Vehicle Interface (DVI) designs to determine the most effective method for communicating recommendations with minimal driver distraction. Field tests were conducted on instrumented corridors, including El Camino Real in Palo Alto and sites in Riverside, California, using test vehicles equipped with the EAD systems. The results indicated that fuel savings varied significantly depending on the driving scenario, ranging from 0% to 22%. Specific scenarios such as speeding up to pass during a green phase, stopping when the light turns red, or maintaining speed to pass as the light turns green showed potential for improvement. However, when accounting for the probability of each scenario occurring in real traffic, the statistical average fuel saving achieved was between 3% and 4%. The study found that while the technology offers environmental benefits, the real-world gains are lower than those observed in controlled, fixed-time simulations due to the complexities of actuated signals and traffic interactions. The significance of this work lies in its transition of eco-driving technology from theoretical and controlled environments to practical, real-world application. By validating the system on actuated signals, which constitute the majority of intersections in the United States, the report provides a realistic assessment of the technology's impact. The findings suggest that while EAD systems can contribute to emission reductions, the benefits are modest in mixed-traffic conditions. The study also highlights the importance of intuitive DVI designs to ensure driver compliance and safety, offering a foundation for future connected vehicle applications aimed at improving traffic efficiency and environmental sustainability.
Key finding
The real achieved fuel saving benefit for the field tests ranged between 3% and 4%.
Methodology
field_study
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. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | rosap | — | — | 2 | 2026-05-23 |
| archive | success | — | — | — | 1 | 2026-05-23 |
| extract | success | cached | — | — | 2 | 2026-06-10 |
| clean | success | — | — | — | 1 | 2026-06-01 |
| chunk | success | — | — | — | 1 | 2026-06-01 |
| embed | success | — | — | — | 1 | 2026-06-02 |
| enrich | success | — | — | — | 1 | 2026-05-23 |
| promote | success | — | — | — | 1 | 2026-05-23 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 3 | 2026-06-10 |
| tag | success | vector_similarity | — | — | 19 | 2026-06-11 |
| verify | success | — | — | — | 2 | 2026-06-10 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.
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- Theoretical Contribution: computational model