Crosswalk Safety Warning System for Pedestrians to Cross the Street Intelligently
Abstract
:1. Introduction
2. System Design
2.1. Detection Module
2.1.1. Vehicle Inspection
2.1.2. Pedestrian Detection
2.2. Control Module
- (1)
- Case 1. If there is a vehicle stopped, the red light of the zebra crossing in front of the lane where the pedestrian is located and the next lane ahead is controlled to flash (see Figure 5a), thus, preventing the vehicle driver from starting due to inattention [28] or negligent observation when the signal is switched, and causing a traffic accident;
- (2)
- Case 2. If no vehicle is currently stopped and there is a vehicle approaching above a safe speed, the red warning of the crosswalk in front of the next lane ahead is controlled (see Figure 5b), thus, warning vehicles and pedestrians of the impending danger;
- (3)
- Case 3. If no vehicle is currently stopped and a vehicle not exceeding the safe speed is approaching, the yellow warning of the zebra crossing in front of the next lane ahead is controlled (see Figure 5c), thus, warning drivers and pedestrians to pass when it is judged safe to do so.
2.3. Warning Module
2.4. Wireless Communication Module
3. Vehicle Safety Braking Distance Model Considering Human–Vehicle Characteristics
3.1. Vehicle Minimum Safe Braking Distance Model Improvement
3.2. Vehicle Minimum Safe Braking Distance Model Improvement
3.3. Modelling of Safe Braking Distances considering Human and Vehicle Characteristics
4. Comparative Model Analysis
5. Conclusions
- (1)
- The designed system detects the position and speed of pedestrians and vehicles in real-time, discriminates between pedestrian and vehicle conflicts with reference to the situation, and runs different warning schemes for different situations. Warning for pedestrians through voice prompting stakes, and two-way warning for pedestrians and vehicles through intelligent zebra crossings with the onset of red, red flashing, yellow lights can effectively reduce conflicts between pedestrians and vehicles and avoid traffic accidents;
- (2)
- The proposed model incorporates considerations of pedestrian psychological safety distances and the impact on vehicle models based on an improved vehicle stopping sight distance model, resulting in further improvements in vehicle braking safety while reducing the psychological impact of the braking process on pedestrians.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
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Qu, D.; Li, H.; Liu, H.; Wang, S.; Zhang, K. Crosswalk Safety Warning System for Pedestrians to Cross the Street Intelligently. Sustainability 2022, 14, 10223. https://doi.org/10.3390/su141610223
Qu D, Li H, Liu H, Wang S, Zhang K. Crosswalk Safety Warning System for Pedestrians to Cross the Street Intelligently. Sustainability. 2022; 14(16):10223. https://doi.org/10.3390/su141610223
Chicago/Turabian StyleQu, Dayi, Haiyang Li, Haomin Liu, Shaojie Wang, and Kekun Zhang. 2022. "Crosswalk Safety Warning System for Pedestrians to Cross the Street Intelligently" Sustainability 14, no. 16: 10223. https://doi.org/10.3390/su141610223