Quiet route planning for pedestrians in traffic noise polluted environments

• Verfasst von: Wang, Zhiyong [VerfasserIn]
• Verfasst von: Novack, Tessio [VerfasserIn]
• Verfasst von: Yan, Yingwei [VerfasserIn]
• Verfasst von: Zipf, Alexander [VerfasserIn]
• Titel: Quiet route planning for pedestrians in traffic noise polluted environments
• Verf.angabe: Zhiyong Wang, Tessio Novack, Yingwei Yan, and Alexander Zipf, Member, IEEE
• Jahr: 2021
• Umfang: 12 S.
• Fussnoten: Gesehen am 13.01.2022 ; First published: 13 July 2020
• Titel Quelle: Enthalten in: Institute of Electrical and Electronics EngineersIEEE transactions on intelligent transportation systems
• Ort Quelle: New York, NY : Inst. of Electrical and Electronics Engineers, 2000
• Jahr Quelle: 2021
• Band/Heft Quelle: 22(2021), 12 vom: Dez., Seite 7573-7584
• DOI: doi:10.1109/TITS.2020.3004660
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Noise measurement
• Sach-SW: Path planning
• Sach-SW: Pollution
• Sach-SW: Route planning
• Sach-SW: routing algorithm
• Sach-SW: Solid modeling
• Sach-SW: Traffic control
• Sach-SW: traffic noise pollution
• Sach-SW: Urban areas
• Sach-SW: volunteered geographic information
• K10plus-PPN: 178597310X

Abstract

Noise pollution is one of the main stressors in urban environments, having negative impacts on people’s quality of life and health. For some groups of citizens, such as school children, patients, and elders, there is a need to support them in finding pedestrian routes in noise polluted areas of cities. In this paper, we focus on the estimation of traffic noise, and present an approach to provide quiet routing services, taking into account the estimated noise levels of roads. By combining Volunteered Geographic Information, official socio-economic data, and open-access GPS trajectory data, we develop a set of traffic related variables, and apply machine learning methods to perform traffic volume estimations. Given the estimated traffic information, an existing traffic noise model is then employed to derive the noise polluted areas. For generation of quiet routes, a new routing algorithm is proposed based on the Dijkstra algorithm. It minimizes the exposure of pedestrians to traffic noise pollution while taking into account the route distance constraint. We apply our quiet routing approach to the city of Heidelberg (Germany). The application results demonstrate the efficacy of our algorithms in the generation of quiet routes customized to pedestrian preferences.