Crosswalk Safety Warning System for Pedestrians to Cross the Street Intelligently

Dayi Qu, Haiyang Li (), Haomin Liu, Shaojie Wang and Kekun Zhang
Additional contact information
Dayi Qu: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266525, China
Haiyang Li: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266525, China
Haomin Liu: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266525, China
Shaojie Wang: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266525, China
Kekun Zhang: School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266525, China

Sustainability, 2022, vol. 14, issue 16, 1-17

Abstract: During signal transitions at road sections and intersections, pedestrians and vehicles often clash and cause traffic accidents due to unclear right-of-way. To solve this problem, a vehicle safety braking distance model considering human–vehicle characteristics is established and applied to the designed crosswalk safety warning system to enable pedestrians to cross the street intelligently. The model developed to consider human–vehicle characteristics improves the parking sight distance and pedestrian crossing safety psychological distance models by adding consideration of the effect of vehicle size and type on pedestrian psychology. The established model considering human–vehicle characteristics was improved for the stopping sight distance and pedestrian crossing safety psychological distance models. The effects of vehicle size and type on pedestrian psychology were taken into account. The designed warning system can be divided into a detection module, control module, warning module, and wireless communication module. The system detects the position and speed of pedestrians and vehicles and discriminates the conflict situation, executing the corresponding warning plan for three different types of situations. The system provides warning to pedestrians and vehicles through the different color displays of the intelligent crosswalk. The results show that the proposed model, which synergistically couples vehicle speed, driver reaction time, road characteristic correlation coefficients, and the psychological impact of vehicle size and type on pedestrians, is safe and effective. The designed system solves the problem of pedestrian crossing safety from both theoretical and technical aspects.

Keywords: traffic safety; intelligent transportation; driving safety; pedestrian crossing; intelligent zebra crossing; safe braking distance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/16/10223/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/16/10223/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:16:p:10223-:d:890615

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().