A Pilot Study on Interactions between Drivers and Pedestrian Features at Signalized Intersections—Using the SHRP2 Naturalistic Driving Study Data

Lin, Pei-Sung; Wang, Zhenyu; Guo, Rui; Kourtellis, Achilleas

doi:10.1061/9780784479810.009

Cited by 8 publications

(8 citation statements)

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“…Before crossing the street, pedestrians tend to look for eye contact or any form of human communication with drivers. A study conducted by Lin et al [4] on the interaction between drivers and pedestrians at signalized intersections demonstrated that pedestrians feel more comfortable when they can interact with drivers before crossing a road. However, in the case of pedestrian-autonomous vehicle interaction, the interaction is between the robotic vehicle and the pedestrian.…”

Section: The Importance Of the Secondary User Experiencementioning

confidence: 99%

Trusting Autonomous Systems – Designing for Bystanders and Secondary Users

Hjemly¹,

Alsos²

2021

DS 110: Proceedings of the 23rd International Conference on Engineering and Product Design Education (EPDE 2021)

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Knowledge and awareness of the relationship and trust between man and technology is important for users to accept artificial intelligence (AI) and autonomous systems. While research has been conducted on the interaction between operators or passengers and robotic vehicles, there is not much research on secondary users, i.e., users who are not directly interacting with the system, such as pedestrians or bystanders in the robot's environments. This paper summarizes and synthesizes the existing literature relevant to secondary users' trust toward autonomous systems. The focus is (1) to find out how the secondary user experience in human-robot interaction is affected by trust, and (2) to see how trust is designed in autonomous systems. By designing for appropriate levels of trust, the designer can empower both primary and secondary users to accept the information provided by the robot and follow its suggestions.

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Section: The Importance Of the Secondary User Experiencementioning

confidence: 99%

Trusting Autonomous Systems – Designing for Bystanders and Secondary Users

Hjemly¹,

Alsos²

2021

DS 110: Proceedings of the 23rd International Conference on Engineering and Product Design Education (EPDE 2021)

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“…Road environmental factors, such as road width to be crossed by the pedestrian, total road width, number of lanes, and various pedestrian engineering and crossing treatments, may influence the pedestrian-driver interactions in terms of the perceived safety of crossing and the road users' anticipation of different types of behaviors [12,48,122]. For example, a study by Turner et al [119] showed that the number of lanes crossed was a significant predictor of motorized vehicles yielding rates.…”

Section: Road Characteristicsmentioning

confidence: 99%

Negotiation and Decision-Making for a Pedestrian Roadway Crossing: A Literature Review

2019

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The interaction among pedestrians and human drivers is a complicated process, in which road users have to communicate their intentions, as well as understand and anticipate the actions of users in their vicinity. However, road users still ought to have a proper interpretation of each others’ behaviors, when approaching and crossing the road. Pedestrians, as one of the interactive agents, demonstrate different behaviors at road crossings, which do not follow a consistent pattern and may vary from one situation to another. The presented inconsistency and unpredictability of pedestrian road crossing behaviors may thus become a challenge for the design of emerging technologies in the near future, such as automated driving system (ADS). As a result, the current paper aims at understanding the effectual communication techniques, as well as the factors influencing pedestrian negotiation and decision-making process. After reviewing the state-of-the-art and identifying research gaps with regards to vehicle–pedestrian crossing encounters, a holistic approach for road crossing interaction modeling is presented and discussed. It is envisioned that the presented holistic approach will result in enhanced safety, sustainability, and effectiveness of pedestrian road crossings.

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“…Past safety studies (9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19) suggested the use of NDS data can quantify different factors' impacts on driver behavior and crash risk, compared with data from driving simulator, field experiments, or crash reports. These studies addressed road departure, offset left-turn lanes, driver inattention, rear-end crashes on congested freeways, and so forth.…”

Section: Nds Datamentioning

confidence: 99%

Using Naturalistic Driving Study Data to Evaluate the Effects of Intersection Balance on Driver Behavior at Partial Cloverleaf Interchange Terminals

Wang

Zhou

2018

Transportation Research Record: Journal of the Transportation R

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Past studies showed that poor intersection balances at partial cloverleaf (parclo) interchange terminals significantly impact traffic safety and sight distance of drivers making left turns to entrance ramps. Some state traffic agencies have recommended a “balance” guideline that the length between the left-turn stop line on crossroads to the middle of the intersection should not be greater than 60% of the entire length of the intersection. However, a scarcity of research exists on how the balance of an intersection affects driver behavior, which has been identified as a critical contributing factor to intersection-related crashes. This study utilizes the Naturalistic Driving Study (NDS) data to evaluate the effects of intersection balance on driver behavior at parclo interchange terminals for proof-of-concept. A small but representative data sample was collected from the second Strategic Highway Research Program’s (SHRP 2) NDS dataset. It demonstrates statistical characteristics and overall trends of driver speed, acceleration/deceleration rates, and risk perception with the changing of intersection balances. Conclusions provide guidance on optimal intersection balance design that may help drivers make smoother and safer transitions from crossroads to entrance ramps at parclo interchange terminals.

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A Pilot Study on Interactions between Drivers and Pedestrian Features at Signalized Intersections—Using the SHRP2 Naturalistic Driving Study Data

Cited by 8 publications

References 0 publications

Trusting Autonomous Systems – Designing for Bystanders and Secondary Users

Trusting Autonomous Systems – Designing for Bystanders and Secondary Users

Negotiation and Decision-Making for a Pedestrian Roadway Crossing: A Literature Review

Using Naturalistic Driving Study Data to Evaluate the Effects of Intersection Balance on Driver Behavior at Partial Cloverleaf Interchange Terminals

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