Design and Simulation-Based Testing of Connected Traffic Light Guidance Systems

Gabriele, Alberto; Mancini, Francesca Romana; Khayyat, Michael; Arrigoni, Stefano

doi:10.48550/arxiv.2209.05783

Cited by 1 publication

(7 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides more comfort for passengers, having lower accelerations guarantees lower energy consumption, with a 40% reduction in the energetic indicator IEC when the TLA is active. Furthermore, these values confirm the results obtained from the simulations conducted in [6]. The plot in Figure 12 is intended to investigate in which situation the algorithm has an improvement margin and how it could be adjusted to further enhance its impact.…”

Section: Traffic Light Advisorsupporting

confidence: 75%

“…The field tests for the localization algorithm demonstrated good accuracy results in different conditions and GPS signal availability, proving to be consistent for running ADASs, such as the TLA. Furthermore, having implemented the localization algorithm and knowing the working plans of a set of traffic lights on a predefined path of the city of Milan, the paper reports full-scale testing on a trolley-bus in the urban scenario of the TLA developed by [6] at Politecnico di Milano, confirming the previously obtained simulation results.…”

Section: Introductionsupporting

confidence: 73%

“…The filter incorporates a one-dimensional uniformly accelerated kinematic motion model and integrates data from various onboard sensors, including the IMU, GPS, and Electronic Control Unit (ECU), each operating at different frequencies. Moreover, the localization algorithm is integrated into the Traffic Light Advisor (TLA) system, as developed in [ 6 ]. This integration optimizes the vehicle’s speed, minimizing unnecessary stops and ensuring a smoother driving experience, ultimately reducing energy consumption.…”

Section: State Of the Artmentioning

confidence: 99%

“…Alongside the presentation of the localization algorithm, the study also showcases the practical application of the proposed method. Specifically, experimental results for the Traffic Light Advisor (TLA) system are presented to further validate the approach introduced in [ 6 ] through real-world road tests.…”

Section: State Of the Artmentioning

confidence: 99%

“…In particular, the algorithm is thought to consider a uniformly accelerated motion model for the vehicle to reach the suggested speed within the first traffic light of the series and then keep that velocity to safely pass the upcoming intersections without stopping. In the following, the most relevant features of the functioning of the TLA system are reported; for further details, the reader can refer to the work in [ 6 ] where the full design of the algorithm is presented.…”

Section: Traffic Light Advisor Experimental Validationmentioning

confidence: 99%

See 4 more Smart Citations

Vehicle Localization Kalman Filtering for Traffic Light Advisor Application in Urban Scenarios

Vignarca

Arrigoni

Sabbioni

2023

Sensors

Self Cite

View full text Add to dashboard Cite

The recent advancements in Intelligent Transportation Systems (ITS) have revealed significant potential for enhancing traffic management through Advanced Driver Assist Systems (ADASs), with benefits for both safety and environment. This research paper proposes a vehicle localization technique based on Kalman filtering, as accurate positioning of the ego-vehicle is essential for the proper functioning of the Traffic Light Advisor (TLA) system. The aim of the TLA is to calculate the most suitable speed to safely reach and pass the first traffic light in front of the vehicle and subsequently keep that velocity constant to overcome the following traffic light, thus allowing safer and more efficient driving practices, thereby reducing safety risks, and minimizing energy consumption. To overcome Global Positioning Systems (GPS) limitations encountered in urban scenarios, a multi-rate sensor fusion approach based on the Kalman filter with map matching and a simple kinematic one-dimensional model is proposed. The experimental results demonstrate an estimation error below 0.5 m on urban roads with GPS signal loss areas, making it suitable for TLA application. The experimental validation of the Traffic Light Advisor system confirmed the expected benefits with a 40% decrease in energy consumption compared to unassisted driving.

show abstract

Section: Traffic Light Advisorsupporting

confidence: 75%

Section: Introductionsupporting

confidence: 73%

Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Section: Traffic Light Advisor Experimental Validationmentioning

confidence: 99%

See 3 more Smart Citations