Skip to main content

2024 | OriginalPaper | Buchkapitel

Pedestrian Signal Violation and Its Impact on Vehicular Delay

verfasst von : Vishal Sharma

Erschienen in: Recent Advances in Civil Engineering for Sustainable Communities

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Pedestrian crossings have always been the most important road element as they provide a passage for pedestrians to cross the vehicle stream. A variety of pedestrian crossings are available all around the world viz. zebra crossing, underground crossing, sky bridge crossing, signalized controlled pelican crossing, and intersection crossings. Their establishment is related to the available crossing rules, vehicle volume, funds, and the choice of authority. The problem arises when the crossing facility is not selected adequately and when it is not used by pedestrians as required. This paper presents research conducted to obtain the additional vehicular delay caused due to signal rule violation by pedestrians at a signalized crossing which is helpful for the establishment of a suitable pedestrian crossing that can reduce the pedestrian-vehicular interaction and ultimately the overall delay for the vehicles can be reduced. Data is collected from two pelican crossing sites available in Chandigarh city of India as there is not any such study conducted in the past in this locality. A model is formulated and validated comparing with already existing similar models for the pedestrian rule violation and delay that occurred for the vehicular users at these sites are also compared with this model. It was found that the delay calculated using this model gives the values nearest to the actual conditions at the site.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Zhang Y, Deng Y, Deng Y (2019) Analysis of pedestrians red-light violation behavior at signalized intersections. In: 2019 5th International Conference on Transportation Information and Safety (ICTIS) Zhang Y, Deng Y, Deng Y (2019) Analysis of pedestrians red-light violation behavior at signalized intersections. In: 2019 5th International Conference on Transportation Information and Safety (ICTIS)
2.
Zurück zum Zitat Zhang S, Abdel-Aty M (2022) Real-time pedestrian conflict prediction model at the signal cycle level using machine learning models. IEEE Open J Intell Transp Syst 3:176–186CrossRef Zhang S, Abdel-Aty M (2022) Real-time pedestrian conflict prediction model at the signal cycle level using machine learning models. IEEE Open J Intell Transp Syst 3:176–186CrossRef
3.
Zurück zum Zitat Wu Y, Guo Y, Yin W (2021) Real time safety model for pedestrian red-light running at signalized intersections in China. Sustainability 13(4):1695CrossRef Wu Y, Guo Y, Yin W (2021) Real time safety model for pedestrian red-light running at signalized intersections in China. Sustainability 13(4):1695CrossRef
4.
Zurück zum Zitat Liu Y, Alsaleh R, Sayed T (2022) Modeling pedestrian temporal violations at signalized crosswalks: a random intercept parametric survival model. Transp Res Record J Transp Res Board 2676(6):707–720CrossRef Liu Y, Alsaleh R, Sayed T (2022) Modeling pedestrian temporal violations at signalized crosswalks: a random intercept parametric survival model. Transp Res Record J Transp Res Board 2676(6):707–720CrossRef
5.
Zurück zum Zitat Afshari A, Ayati E, Barakchi M (2021) Evaluating the effects of external factors on pedestrian violations at signalized intersections (a case study of Mashhad, Iran). IATSS Res 45(2):234–240CrossRef Afshari A, Ayati E, Barakchi M (2021) Evaluating the effects of external factors on pedestrian violations at signalized intersections (a case study of Mashhad, Iran). IATSS Res 45(2):234–240CrossRef
6.
Zurück zum Zitat Gong Q, Xiao L, Xu M (2019) Pedestrian violations crossing behavior at signal intersections: a case study in Anning District of Lanzhou. IOP Conf Ser Mater Sci Eng 688(4):44006CrossRef Gong Q, Xiao L, Xu M (2019) Pedestrian violations crossing behavior at signal intersections: a case study in Anning District of Lanzhou. IOP Conf Ser Mater Sci Eng 688(4):44006CrossRef
7.
Zurück zum Zitat Li B (2014) A bilevel model for multivariate risk analysis of pedestrians crossing behavior at signalized intersections. Transp Res Part B: Methodol 65:18–30CrossRef Li B (2014) A bilevel model for multivariate risk analysis of pedestrians crossing behavior at signalized intersections. Transp Res Part B: Methodol 65:18–30CrossRef
8.
Zurück zum Zitat Zaki MH, Sayed T, Ismail K, Alrukaibi F (2012) Use of computer vision to identify pedestrians’ nonconforming behavior at urban intersections. Transp Res Record J Transp Res Board 2279(1):54–64CrossRef Zaki MH, Sayed T, Ismail K, Alrukaibi F (2012) Use of computer vision to identify pedestrians’ nonconforming behavior at urban intersections. Transp Res Record J Transp Res Board 2279(1):54–64CrossRef
9.
Zurück zum Zitat Zhou Z, Hu Q, Wang W (2014) Modeling Pedestrians Conformity Violation Behavior: A Complex Network Based Approach. Comput Intell Neurosci 2014:1–7CrossRef Zhou Z, Hu Q, Wang W (2014) Modeling Pedestrians Conformity Violation Behavior: A Complex Network Based Approach. Comput Intell Neurosci 2014:1–7CrossRef
10.
Zurück zum Zitat Zeng W, Chen P, Nakamura H, Iryo-Asano M (2014) Application of social force model to pedestrian behavior analysis at signalized crosswalk. Transp Res Part C Emerg Technol 40:143–159CrossRef Zeng W, Chen P, Nakamura H, Iryo-Asano M (2014) Application of social force model to pedestrian behavior analysis at signalized crosswalk. Transp Res Part C Emerg Technol 40:143–159CrossRef
11.
Zurück zum Zitat Mao C, Bao L, Yang S, Xu W, Wang Q (2021) Analysis and prediction of pedestrians violation behavior at the intersection based on a Markov chain. Sustainability 13(10):5690CrossRef Mao C, Bao L, Yang S, Xu W, Wang Q (2021) Analysis and prediction of pedestrians violation behavior at the intersection based on a Markov chain. Sustainability 13(10):5690CrossRef
12.
Zurück zum Zitat Pulugurtha SS, Sambhara VR (2011) Pedestrian crash estimation models for signalized intersections. Accident Analysis Prevention 43(1):439–446CrossRef Pulugurtha SS, Sambhara VR (2011) Pedestrian crash estimation models for signalized intersections. Accident Analysis Prevention 43(1):439–446CrossRef
13.
Zurück zum Zitat Ni Y, Li K (2012) Signal violation effects on pedestrian delay at signalized intersections. In: Transportation Research Board 91st Annual Meeting Ni Y, Li K (2012) Signal violation effects on pedestrian delay at signalized intersections. In: Transportation Research Board 91st Annual Meeting
14.
Zurück zum Zitat Xiao Z, Zhou Z, Zhang K (2019) Pedestrians violation behavior model based on group decision-making. Adv Mech Eng 11(4):168781401984406CrossRef Xiao Z, Zhou Z, Zhang K (2019) Pedestrians violation behavior model based on group decision-making. Adv Mech Eng 11(4):168781401984406CrossRef
15.
Zurück zum Zitat Koh PP, Wong YD, Chandrasekar P (2014) Safety evaluation of pedestrian behavior and violations at signalised pedestrian crossings. Saf Sci 70:143–152CrossRef Koh PP, Wong YD, Chandrasekar P (2014) Safety evaluation of pedestrian behavior and violations at signalised pedestrian crossings. Saf Sci 70:143–152CrossRef
16.
Zurück zum Zitat Cao N-B, Qu Z-W, Song X-M, Zhao L-Y, Bai Q-W, Luo R-Q (2017) Modeling the variation in the trajectory of crosswalk overflow violation pedestrians in China and Countermeasure. Math Probl Eng 2017:1–14 Cao N-B, Qu Z-W, Song X-M, Zhao L-Y, Bai Q-W, Luo R-Q (2017) Modeling the variation in the trajectory of crosswalk overflow violation pedestrians in China and Countermeasure. Math Probl Eng 2017:1–14
17.
Zurück zum Zitat Guo Y, Wang X, Meng X, Wang J, Liu Y (2019) Analysis of red-light violation behavior of pedestrian two-stage crossing at a signalized intersection. Civil Eng J 5(2):429CrossRef Guo Y, Wang X, Meng X, Wang J, Liu Y (2019) Analysis of red-light violation behavior of pedestrian two-stage crossing at a signalized intersection. Civil Eng J 5(2):429CrossRef
18.
Zurück zum Zitat Guo H, Gao Z, Yang X, Jiang X (2011) Modeling pedestrian violation behavior at signalized crosswalks in China: a hazards-based duration approach. Traffic Inj Prev 12(1):96–103CrossRef Guo H, Gao Z, Yang X, Jiang X (2011) Modeling pedestrian violation behavior at signalized crosswalks in China: a hazards-based duration approach. Traffic Inj Prev 12(1):96–103CrossRef
19.
Zurück zum Zitat Dong C, Xie K, Sun X, Lyu M, Yue H (2019) Roadway traffic crash prediction using a state space model-based support vector regression approach. PLoS One 14(4):e0214866CrossRef Dong C, Xie K, Sun X, Lyu M, Yue H (2019) Roadway traffic crash prediction using a state space model-based support vector regression approach. PLoS One 14(4):e0214866CrossRef
20.
Zurück zum Zitat Zhou Z, Ren G, Wang W (2011) Modeling violations of pedestrian road-crossing behavior at signalized intersections. In: ICCTP 2011 Zhou Z, Ren G, Wang W (2011) Modeling violations of pedestrian road-crossing behavior at signalized intersections. In: ICCTP 2011
21.
Zurück zum Zitat Marisamynathan S, Vedagiri P (2018) Modeling pedestrian crossing behavior and safety at signalized intersections. Transp Res Record J Transp Res Board 2672(31):76–86CrossRef Marisamynathan S, Vedagiri P (2018) Modeling pedestrian crossing behavior and safety at signalized intersections. Transp Res Record J Transp Res Board 2672(31):76–86CrossRef
Metadaten
Titel
Pedestrian Signal Violation and Its Impact on Vehicular Delay
verfasst von
Vishal Sharma
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-0072-1_36