Noise abatement and traffic safety: The trade-off of quieter engines and pavements on vehicle detection

被引:25
|
作者
Mendonca, C. [1 ,2 ]
Freitas, E. [3 ]
Ferreira, J. P. [3 ]
Raimundo, I. D. [3 ]
Santos, J. A. [1 ,2 ,4 ]
机构
[1] Univ Minho, Dept Basic Psychol, Sch Psychol, P-4719 Braga, Portugal
[2] Ctr Computacao Graf, P-4800058 Guimaraes, Portugal
[3] Univ Minho, Dept Civil Engn, Sch Engn, P-4719 Braga, Portugal
[4] Univ Minho, Ctr Algoritmi, P-4719 Braga, Portugal
来源
关键词
Signal detection; Road traffic safety; Noise; Vehicles; Dense asphalt; Open asphalt rubber; Cobble stones; Psychoacoustic analysis; AUDITORY-PERCEPTION;
D O I
10.1016/j.aap.2012.10.018
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Road traffic sounds are a major source of noise pollution in urban areas. But recent developments such as low noise pavements and hybrid/electric engine vehicles cast an optimistic outlook over such an environmental problem. However, it can be argued that engine, tire, and road noise could be relevant sources of information to avoid road traffic conflicts and accidents. In this paper, we analyze the potential trade-offs of traffic-noise abatement approaches in an experimental study, focusing for the first time on the impact and interaction of relevant factors such as pavement type, vehicle type, listener's age, and background noise, on vehicle detection levels. Results reveal that vehicle and pavement type significantly affect vehicle detection. Age is a significant factor, as both younger and older people exhibit lower detection levels of incoming vehicles. Low noise pavements combined with all-electric and hybrid vehicles might pose a severe threat to the safety of vulnerable road users. All factors interact simultaneously, and vehicle detection is best predicted by the loudness signal-to-noise ratio. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:11 / 17
页数:7
相关论文
共 50 条
  • [1] TQA - 3: Noisy motorcycles and barriers and quieter pavements for traffic noise abatement
    Donavan, Paul R.
    [J]. Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering, 2021,
  • [2] The trade-off between safety and flow of traffic
    Meng, Jingsong
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY, MANAGEMENT AND HUMANITIES SCIENCE (ETMHS 2015), 2015, 27 : 847 - 852
  • [3] Traffic noise, abatement: How different pavements, vehicle speeds and traffic densities affect annoyance levels
    Freitas, E.
    Mendonca, C.
    Santos, J. A.
    Murteira, C.
    Ferreira, J. P.
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2012, 17 (04) : 321 - 326
  • [4] State-of-the-Art Review on Sustainable Design and Construction of Quieter Pavements-Part 1: Traffic Noise Measurement and Abatement Techniques
    Ohiduzzaman, M. D.
    Sirin, Okan
    Kassem, Emad
    Rochat, Judith L.
    [J]. SUSTAINABILITY, 2016, 8 (08):
  • [5] A noise and weight trade-off study
    Prouty, R.W.
    [J]. Vertiflite, 2007, 53 (04):
  • [6] Trade-off Between Safety and Traffic Flow for Connected Autonomous Vehicles in the Presence of Traffic Signals
    Waqas, Muhammad
    Monteiro, Fernando Valladares
    Ioannou, Petros
    [J]. 2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 2642 - 2647
  • [7] Work Fluctuation-Dissipation Trade-Off in Heat Engines
    Funo, Ken
    Ueda, Masahito
    [J]. PHYSICAL REVIEW LETTERS, 2015, 115 (26)
  • [8] Abatement of traffic, vehicle and tire/road noise - The global perspective
    Sandberg, U
    [J]. INTER-NOISE 99: PROCEEDINGS OF THE 1999 INTERNATIONAL CONGRESS ON NOISE CONTROL ENGINEERING, VOLS 1-3, 1999, : 37 - 42
  • [9] Abatement of traffic, vehicle, and tire/road noise - the global perspective
    Sandberg, U
    [J]. NOISE CONTROL ENGINEERING JOURNAL, 2001, 49 (04) : 170 - 181
  • [10] Speed Accuracy Trade-off in Pedestrian and Vehicle Detection Using Localized Big Data
    Yun, Yeongro
    Park, Youngseok
    Woo, Chanhee
    Lim, Sejoon
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 1142 - 1149