Evaluating Suitable Glosa-Algorithms by Simulation Considering Realistic Traffic Conditions and V2X-Communication

Michael, Klöppel-Gersdorf; Jan, Grimm · 2020 · DOAJ

DOI: 10.2478/ttj-2020-0025

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Summary

This paper evaluates Green Light Optimized Speed Advisory (GLOSA) algorithms through simulation, addressing the challenge of optimizing vehicle speed to minimize fuel consumption, emissions, and delay while approaching intersections. Motivated by the deployment of Vehicle-to-Everything (V2X) communication in Europe, the study extends prior research that identified the Stebbins et al. (2017) algorithm as effective but noted an unexpected increase in diesel consumption. The authors aim to explain this anomaly and investigate the interaction between GLOSA and fixed-time traffic light control. The experimental design utilizes the SUMO simulation software on a 3.5 km suburban corridor in Dresden, Germany, featuring ten traffic lights and over 16,000 trips during a morning peak hour. The scenario incorporates realistic traffic conditions, including a 50% penetration rate of connected vehicles among Euro 5 and 6 standards, and models V2X communication using the RUMBA framework with a 300-meter range. Emissions and fuel usage were calculated using the HBEFA3 module. The study conducts two primary experiments: first, adapting GLOSA parameters for different vehicle classes or restricting advice to passenger vehicles only to analyze diesel usage; second, replacing traffic-actuated control with fixed-time control to assess GLOSA performance under rigid signal timing. Results indicate that adapting GLOSA parameters to specific vehicle classes or limiting advice to passenger vehicles did not significantly reduce diesel consumption compared to the baseline. Statistical tests revealed no significant differences, suggesting that increased diesel usage stems from negative impacts on conventional, unconnected vehicles forced to brake and accelerate behind connected vehicles following GLOSA advice. Furthermore, combining GLOSA with fixed-time traffic control proved detrimental. While fixed-time control alone increased fuel usage compared to actuated control, adding GLOSA worsened outcomes significantly, increasing mean gasoline usage by 2.5 times compared to the fixed-time baseline. This degradation is attributed to congestion, where vehicles attempting to follow speed advice inefficiently utilize remaining traffic resources under rigid signal cycles. The study concludes that providing effective GLOSA advice in heavily loaded scenarios is complex, as benefits for connected vehicles can negatively impact conventional traffic. It highlights that GLOSA can be counterproductive under fixed-time control, indicating that successful integration requires more sophisticated schemes, such as traffic light controllers planning fixed cycles ahead based on V2X data. The findings underscore the need for holistic evaluation of connected vehicle services, considering their systemic impact on mixed traffic environments rather than isolated vehicle performance.

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Topics

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• v2x connected vehicle