Detecting Pedestrian Situation Awareness in Real-Time: Algorithm Development Using Heart Rate Variability and Phone Position

Tong, Yourui; Jia, Bochen; Wang, Yi; Yang, Shi Qing

doi:10.1177/1541931218621357

Cited by 2 publications

(3 citation statements)

References 34 publications

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“…Therefore, this study evaluates SA measurement methods in environments with different characteristics from previous studies. The pedestrian environment is rated as a simple, stable, and recurring pattern (Tong et al 2018). The main task is fundamental to each individual and is done every day (Harms et ).…”

Section: The Present Studymentioning

confidence: 99%

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Situation Awareness Measurement in Pedestrian Environments: A Comparison between Freeze-probing and Realtime-probing technique

Akbar

Wijayanto

Hartono

2022

Preprint

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Pedestrian safety is affected by their environment. Reduced pedestrian awareness is generally due to walking being an activity repeatedly every day. Situation Awareness (SA) measurements can evaluate a pedestrian's ability to handle environmental situations. This refers to the importance of knowing the SA of pedestrians using effective measurement methods. This study aims to evaluate methods of measuring SA based on the effectiveness of its measure in a pedestrian environment by comparing the freeze-probing and real-time-probing techniques. Participants were eleven pedestrians (seven male) with an average age of 22 (SD ± 1.3) years old and walking habits for 15 (SD ± 8.5) minutes/day. Participants watched a video of a pedestrian walking on a treadmill with three speed levels. SA was measured by freeze and realtime-probing in different scenarios. Performance was determined based on verbal protocol. The realtime-probing has better sensitivity, but it has more problems with intrusiveness. Based on the regression results between predictors in the form of SA scores and performance as dependent variables, this probe shows better predictive results at low workload conditions, which corresponds to the characteristics of the pedestrian domain. Based on its advantages, real-time-probing is considered more effective for SA measurement needs in pedestrian environments that tend to be simple, stable, and do not cause high workloads. An effective measurement method will result in an accurate measure of SA score that can be the basis for developing the concept of SA and designing new designs or procedures in the pedestrian environment.

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Section: The Present Studymentioning

confidence: 99%

“…Thus, both methods have advantages and disadvantages in each of the parameters. However, SPAM is considered more suitable for SA measurement needs in pedestrian domains that tend to be simple, stable, and recurring patterns (Tong et al 2018). SPAM predicts better performance in 'low' workload conditions.…”

Section: Predictive Validitymentioning

confidence: 99%

Situation Awareness Measurement in Pedestrian Environments: A Comparison between Freeze-probing and Realtime-probing technique

Akbar

Wijayanto

Hartono

2022

Preprint

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“…The adoption of IoT technologies in road safety is creating new ways to improve situational awareness for people using the roads. Examples include built-in vehicle devices, such as an automatic pedestrian detection system, which use advanced sensing technologies (LiDAR or radar) (6). Another example is a prototype system called ''WalkSafe'' that aims to protect distracted pedestrians who are using a smartphone by alerting them.…”

mentioning

confidence: 99%

Internet-of-Things System to Protect Police Officers From Collisions While on Duty on the Roadway

Mohammadi

Park

Asgary

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Police officers on duty on the road for traffic stops, vehicle collisions, traffic direction, and so forth, are exposed to the risk of being hit or even killed by a passing vehicle. Very few studies have tried to develop a system that can warn pedestrians or police officers on duty on the road to take proactive evasive action. This study proposes an Internet-of-Things protection system for police officers on duty on the road. The development of the system envisaged involves three essential phases: 1. detection, 2. risk analysis, and 3. warning and communication. This study focused on the risk analysis phase. We applied a fuzzy rule-based algorithm that integrates four input indicators (lateral distance from police officer to traveled lane, magnitude of speeding, stopping sight distance, and direct distance) into a single estimate of the risk of a collision. The study used data from a real-world situation on Highway 416 in Ontario, Canada to demonstrate the application of the proposed model. The results clearly demonstrated that the proposed model could generate risk estimates that could be used to give timely warning of a possible collision risk to police officers at work on a road.

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Detecting Pedestrian Situation Awareness in Real-Time: Algorithm Development Using Heart Rate Variability and Phone Position

Cited by 2 publications

References 34 publications

Situation Awareness Measurement in Pedestrian Environments: A Comparison between Freeze-probing and Realtime-probing technique

Situation Awareness Measurement in Pedestrian Environments: A Comparison between Freeze-probing and Realtime-probing technique

Internet-of-Things System to Protect Police Officers From Collisions While on Duty on the Roadway

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