Submitted Successfully!
To reward your contribution, here is a gift for you: A free trial for our video production service.
Thank you for your contribution! You can also upload a video entry or images related to this topic.
Version Summary Created by Modification Content Size Created at Operation
1 -- 1273 2024-01-10 09:53:51 |
2 update references and layout -3 word(s) 1270 2024-01-10 09:58:15 |

Video Upload Options

Do you have a full video?

Confirm

Are you sure to Delete?
Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Majer, S.; Sołowczuk, A. Traffic Calming Measures. Encyclopedia. Available online: https://encyclopedia.pub/entry/53669 (accessed on 16 May 2024).
Majer S, Sołowczuk A. Traffic Calming Measures. Encyclopedia. Available at: https://encyclopedia.pub/entry/53669. Accessed May 16, 2024.
Majer, Stanisław, Alicja Sołowczuk. "Traffic Calming Measures" Encyclopedia, https://encyclopedia.pub/entry/53669 (accessed May 16, 2024).
Majer, S., & Sołowczuk, A. (2024, January 10). Traffic Calming Measures. In Encyclopedia. https://encyclopedia.pub/entry/53669
Majer, Stanisław and Alicja Sołowczuk. "Traffic Calming Measures." Encyclopedia. Web. 10 January, 2024.
Traffic Calming Measures
Edit

The ever-increasing use of motor vehicles causes a number of traffic safety and community issues, which are particularly severe in cities, accompanied by a scarcity of parking spaces and challenges encountered in road layout alteration projects. The commonly applied solutions include the designation of through streets, the implementation of on-street parking on residential streets, and retrofitted traffic calming measures (TCMs).

pedestrian refuges refuge islands reduce speed traffic calming measures

1. Speed-Reducing Effect of Horizontal Deflections Located on the Refuge Island Approach Sections

The efficacy of various TCMs used on city streets, i.e., their slowing effect, has been studied by many researchers. In most cases, these studies analyse TCMs in relation to traffic safety improvement [1][2][3][4]. The article by Le et al. [5] is different in this respect in that it also considers the environmental and public health impacts of the analysed TCMs.—the study involved in situ tests conducted using a special test vehicle. Le et al. [5] used a comparative analysis technique to demonstrate the superiority of chicanes among the analysed TCMs, except in terms of vehicle emissions. That said, most studies are limited to analysing the efficacy of speed humps, speed tables, and chicanes in terms of speed reduction on the approach to pedestrian crossings. Some authors took into account landscape features and visibility of the pedestrian crossing and the road ahead, relating the obtained speed reduction not only to the TCMs but also to various factors of the townscape surrounding the refuge island [6][7]. For example, Balant and Lep [7] analysed the improvement in community life thanks to the implemented traffic calming scheme. Other researchers noted the slowing effect of repeating the speed humps or speed tables and the length of slowed driving [8][9][10][11][12].
The efficacy of various TCMs was analysed, for example, by Gonzalo-Orden et al. [13]. They compared through comparative analyses the speed reductions obtained with the applied raised crossings, lane narrowings or chokers, speed cameras, and speed camera signs. These analyses led to the conclusion that the obtained speed reductions depended on the TCM type, its geometric features, and emplacement in the street. Distefano & Leonardii [14][15] arrived at similar conclusions on the efficacy of chicanes and horizontal deflections in city streets. They compared speed profiles (85th percentile and average values) on local streets before and after installation of speed tables and up to 1 m wide chicanes on a one-way street and road narrowing treatment accompanied by a horizontal deflection on a two-way street. The before-and-after study results presented by Distefano & Leonardi [14] show the highest percentage reduction of operating speed for a single-lane chicane installed on a narrow one-way street with an on-street parallel parking configuration. The lowest percentage reduction was, in turn, noted on a two-way street with a carriageway narrowing treatment on one side, accompanied by a horizontal deflection (with parallel on-street and pavement parking). In this case, very good visibility of the road past the narrowing treatment was ensured. Kruszyna & Matczuk-Pisarek [16] arrived at different conclusions in their study on speed reduction obtained with a refuge island, speed table on the approach section, or a raised pedestrian crossing. The comparative analyses showed that raised pedestrian crossings offered the highest speed reductions. Sołowczuk [17] studied speed reductions obtained with raised pedestrian crossings in a downtown Tempo 30 zone, relating the obtained values not only to the TCM geometry and the townscape surrounding the street but also to the specific traffic volume in a given street.
Akgol et al. [18] and Aydin et al. [19] conducted a driving simulator study to investigate the effect of chicanes installed near pedestrian crossings. The factors they considered in their study included the effective lane width, the shapes of islands, and vehicle trajectories. In conclusion [18], it is stated that effective speed reduction may be obtained with a set of three chicanes located at the refuge island on streets with a 3-m effective lane width or with a more economical option of two chicanes on streets with a 2.7-m effective lane width. Hussain et al. also used a driving simulator, yet with a different approach, as presented in their article [20] investigating the effect of roadway narrowing, horizontal deflection, and various road markings and upright signs. These studies confirmed the highest efficacy of road narrowing used in combination with horizontal deflection and carriageway narrowing obtained by zigzag markings or variable message signs.
The first study that related speed reduction to the travel path deflection by a median island or chicanes was conducted in the UK by Sayer and Parry [21][22]. In the test track trials, the test vehicles navigated through artificially simulated horizontal deflection and chicanes. Experienced drivers were employed for these trials. The output of the study confirmed that the primary speed reduction factors were the stagger length, free view through the chicane, deflected path angle, and the visual obstruction type (Figure 1). The free view width “a” had a positive value if the median island between opposing lanes allowed the driver to see the travel lane behind it at the road surface level. If, on the contrary, the driver approaching the island could not see the whole lane width at the road surface level past the island, “a” acquired a negative value. The wider the median island, and thus, the less of the travel lane at the road surface level was visible to the driver, the greater the obtained speed reduction. These findings were confirmed by Zhang et. al. [23], who, in addition, investigated reductions in noise and vehicle emissions.
Figure 1. Free view and path angle illustration: (a) “a”—small; (b) “a”—larger; (c) “a” +.
Figure 2 compares the calculated 85th percentile and mean speeds noted just before the pedestrian crossing or chicane. Figure 2 shows a high degree of inconsistent data obtained by different researchers due to different locations (test tracks, transition zone, village centre, suburban two-lane, single-carriageway streets) and data selection. As regards the data selection, the researchers chose to analyse free traffic flow only or use the steady traffic flow data with varying hourly volumes and separately the free traffic flow data.
Figure 2. Comparison of v85 and vav values ahead of a refuge island or median island in different locations.

2. Previous Before-And-After Speed Studies with the Use of the Heuristic Method

Heuristic methods are used in management analyses when dealing with complex situations and lots of information. They allow researchers to assess the efficacy of the analysed parameters based on the established determinants. The principles of this method were described by different scholars, including Juran (first edition in 1951) [24][25][26] and Deming [27] (first edition in 1982), and were elaborated by Kaoru Ishikawa, who proposed seven basic quality tools for the Total Quality Management (TQM) system [28][29][30] and their researchers [31][32][33][34][35][36]. Quality management principles may be used successfully for assessments of other issues, including road maintenance [37][38], road operating speed management [39][40][41][42][43], or very specific applications, such as analysing fluid velocity variations in medical equipment [44]. The seven tools developed by Kaoru Ishikawa [28][29][30] are:
  • flow chart presenting the steps of the analysis,
  • check sheet, specifically statistical tests to check speed consistency among the consecutive survey sites deployed on the street under analysis,
  • normal distribution histograms,
  • scatter diagram showing relationships,
  • control chart showing speed changes along the analysed street,
  • cause-and-effect diagram (diagram fishbone diagram or Ishikawa diagram) for defining the primary and secondary factors,
  • Pareto chart to define the final identified speed reduction determinants.
These allow the determination of factors that contributed to attaining the final effect in consideration.
In traffic speed studies, the heuristic method allows researchers to estimate the influence of the different determinants on the final operating speed reduced by various treatments, including TCMs. The abovementioned seven tools of the heuristic method to assess the efficacy of different TCMs implemented in the analysed downtown street section.

References

  1. Sun, M.; Sun, X.; Shan, D. Pedestrian crash analysis with latent class clustering method. Accid. Anal. Prev. 2019, 124, 50–57.
  2. Guéguen, N.; Meineri, S.; Eyssartier, C. A pedestrian’s stare and drivers’ stopping behavior: A field experiment at the pedestrian crossing. Saf. Sci. 2015, 75, 87–89.
  3. Balasubramanian, V.; Bhardwaj, R. Pedestrians’ perception and response towards vehicles during road-crossing at nighttime. Accid. Anal. Prev. 2018, 110, 128–135.
  4. Li, Y.; Fan, W. Modelling severity of pedestrian-injury in pedestrian-vehicle crashes with latent class clustering and partial proportional odds model: A case study of North Carolina. Accid. Anal. Prev. 2019, 131, 284–296.
  5. Lee, G.; Joo, S.; Oh, C.; Choi, K. An evaluation framework for traffic calming measures in residential areas. Transp. Res. Part D Transp. Environ. 2013, 25, 68–76.
  6. Sołowczuk, A.; Kacprzak, D. Identification of determinants of the speed-reducing effect of pedestrian refuges in villages located on a chosen regional road. Symmetry 2019, 11, 597.
  7. Balant, M.; Lep, M. Comprehensive traffic calming as a key element of sustainable urban mobility plans-impacts of a neighbourhood redesign in Ljutomer. Sustainability 2020, 12, 8143.
  8. Road and Transportation Research Association. Directives for the Design of Urban Roads; Road and Transportation Research Association: Köln, Germany, 2012.
  9. Zalewski, A.; Kempa, J. Traffic calming as a comprehensive solution improving traffic road safety. In IOP Conference Series: Materials Science and Engineering; IOP Publishing: New York, NY, USA, 2019; Volume 471, p. 062035.
  10. Jamroz, K.; Gaca, S.; Michalski, L.; Kieć, M.; Budzyński, M.; Gumińska, L.; Kustra, W.; Mackun, T.; Oskarbska, I.; Rychlewska, J.; et al. Protection of Pedestrians. Guidelines for Pedestrian Traffic Organizers; National Road Safety Council: Gdańsk, Poland; Warsaw, Poland; Cracow, Poland, 2014. (In Polish)
  11. Rokade, S.; Kumar, R.; Rokade, K.; Dubey, S.; Vijayawargiya, V. Assessment of effectiveness of vertical deflection type traffic calming measures and development of speed prediction models in urban perspective. Int. J. Civ. Eng. Technol. 2017, 8, 1135–1146. Available online: https://iaeme.com/MasterAdmin/Journal_uploads/IJCIET/VOLUME_8_ISSUE_5/IJCIET_08_05_120.pdf (accessed on 23 July 2023).
  12. Mohammadipour, A.; Archilla, A.R.; Papacostas, C.S.; Alavi, S.H. Pedestrian (RPC) influence on speed reduction. In Proceedings of the Conference: Transportation Research Board (TRB) 91st Annual Meeting, Washington, DC, USA, 22–26 January 2012; Available online: https://www.researchgate.net/publication/273687736_Pedestrian_RPC_Influence_on_Speed_Reduction (accessed on 3 August 2023).
  13. Gonzalo-Orden, H.; Rojo, M.; Perez-Acebo, H.; Linares, A. Traffic calming measures and their effect on the variation of speed, Paper presented at the 12th Conference on Transport Engineering (CIT), Valencia 7–9 June, Spain. Transp. Res. Procedia 2016, 18, 349–356.
  14. Distefano, N.; Leonardi, S. Evaluation of the benefits of traffic calming on vehicle speed reduction. Civ. Eng. Archit. 2019, 7, 200–214.
  15. Distefano, N.; Leonardi, S. Effects of speed table, chicane and road narrowing on vehicle speeds in urban areas. In Proceedings of the VI International Symposium New Horizons 2017 of Transport and Comunications, Doboj, Serbia, 17–18 November 2017.
  16. Kruszyna, M.; Matczuk-Pisarek, M. The Effectiveness of Selected Devices to Reduce the Speed of Vehicles on Pedestrian Crossings. Sustainability 2021, 13, 9678.
  17. Sołowczuk, A. Effect of Traffic Calming in a Downtown District of Szczecin, Poland. Energies 2021, 14, 5838.
  18. Akgol, K.; Gunay, B.; Aydin, M.M. Geometric optimisation of chicanes using driving simulator trajectory data. Proc. Inst. Civ. Eng. Transp. 2022, 175, 238–248.
  19. Aydin, M.M.; Akgöl, K.; Günay, B. The investigation of different chicane applications in traffic calming studies using driving symulator. J. Fac. Eng. Archit. Gazi Univ. 2019, 34, 1793–1805.
  20. Hussain, Q.; Alhajyaseen, W.K.M.; Kharbeche, W.; Almallah, M. Safer pedestrian crossing facilities on low-speed roads: Comparison of innovative treatments. Accid. Anal. Prev. 2023, 180, 106908.
  21. Sayer, I.A.; Parry, D.I. Speed Control Using Chicanes—A Trial at TRL; TRL Project Report PR 102; Transport Research Laboratory: Crowthorne, UK, 1994; Available online: https://trid.trb.org/view/425130 (accessed on 2 July 2023).
  22. Sayer, I.A.; Parry, D.I.; Barker, J.K. Traffic Calming—An Assessment of Selected On-Road Chicane Schemes; Transport Research Laboratory TRL Report 313; Transport Research Laboratory: Crowthorne, UK, 1998.
  23. Zhang, C.; Qin, S.; Yu, H.; Zheng, B.; Li, Z. A Review on Chicane Design based on Calming Theory. J. Eng. Sci. Technol. Rev. 2020, 13, 188–197.
  24. Juran, J.M.; Gryna, F.M. Juran’s Quality Control Handbook, 6th ed.; McGraw-Hill: New York, NY, USA, 2010.
  25. Stephens, K.S. Juran, Quality, and a Century of Improvement, 15 ed.; ASQ: Milwaukee, WI, USA, 2004.
  26. Feigenbaum, A.V. Quality Control: Principles, Practice, and Administration; McGraw Hill Book Company Inc.: New York, NY, USA, 1951.
  27. Deming, W.E. Out of the Crisis, 5th ed.; The MIT Press: Cambridge, UK, 2000.
  28. Ishikawa, K.; Loftus, J.H. Introduction to Quality Control, 3rd ed.; 3A Corporation: Tokyo, Japan, 1990.
  29. Ishikawa, K. Introduction to Quality Control; Taylor & Francis: Philadelphia, PA, USA, 1990.
  30. Ishikawa, K. What Is Total Quality Control? The Japanese Way; Prentice-Hall Direct: University Michigan: Michigan, MI, USA, 1985.
  31. Juran, J.M. The Non-Pareto Principle; Mea Culpa. In Juran on Quality by Design; Juran, J., Ed.; Free Press: New York, NY, USA, 1992; pp. 68–71.
  32. SAS/QC® 14.1. User’s Guide: The Pareto Procedure; SAS Institute Inc.: Cary, NC, USA, 2015.
  33. Iyer, R.G. The Art of Creating Pareto Analysis: A Complete End-to-End Guide to Understand Pareto Charts and Easily Create them in Excel; Advanced Innovation Group Pro Excellence: Birmingham, UK, 2021.
  34. Koch, R. The 80/20 Principle: The Secret to Achieving More with Less; Independently Published: Chicago, IL, USA, 2021.
  35. Mydlarz, A. 7 Sztuczek Najlepszych Audytorów Jakości; Sztuka Jakości Artur Mydlarz: Rzeszów, Poland, 2022. (In Polish)
  36. Mydlarz, A. Siedem Złotych Narzędzi Jakości. Praktyczny Poradnik Inżyniera; Sztuka Jakości Artur Mydlarz: Rzeszów, Poland, 2022. (In Polish)
  37. Sołowczuk, A. Metod TQM v zadačah ocenki tehničeskogo sostoâniâ dorog. Transp. Stroit. 2005, 7, 11–12.
  38. Sołowczuk, A. Naučnye osnowy ocenki tehničeskogo sostoâniâ dorog po potrebitel’skim svojstvam. Dorogi i Mosty 2005, 13, 165–175.
  39. Evans, S.R.; Norbacka, J.P.P. An Heuristic Method for Solving Time-Sensitive Routing Problems. J. Oper. Res. Soc. 1984, 35, 407–414.
  40. Wang, Z.; Wang, Z. A novel two-phase heuristic method for vehicle routing problem with backhauls. Comput. Math. Appl. 2009, 57, 1923–1928.
  41. Ichoua, S.; Gendreau, M.; Potvin, J.-Y. Vehicle dispatching with time-dependent travel Times. Eur. J. Oper. Res. 2003, 144, 379–396.
  42. Malandraki, C.; Daskin, M.S. Time dependent vehicle routing problems: Formulations, properties and heuristic algorithms. Transp. Sci. 1992, 26, 185–200.
  43. Hill, A.C.; Benton, W.C. Modelling intra-city time-dependent travel speeds for vehicle scheduling problems. J. Oper. Res. Soc. 1992, 43, 343–351.
  44. Kim, J.-S.; Jeong, J. Development of the Dripping Speed Measurement System of Medical Liquid using Heuristic. J. Korean Inst. Intell. Syst. 2014, 24, 542–547.
More
Information
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register : ,
View Times: 234
Revisions: 2 times (View History)
Update Date: 10 Jan 2024
1000/1000