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Anika Rimu
Anika Rimu
Visiting Assistant Professor, Purdue University
在 purdue.edu 的电子邮件经过验证
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引用次数
引用次数
年份
CycleGuard: A Smartphone-based Assistive Tool for Cyclist Safety Using Acoustic Ranging.
W Jin, S Murali, Y Cho, H Zhu, T Li, RT Panik, A Rimu, S Deb, KE Watkins, ...
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (4), 163:1-163:30, 2021
152021
Teenage bicyclists' perceptions toward automated vehicles and their associated traffic infrastructure: a focus group discussion
OL Ngwu, A Rimu, S Deb, JR Lummus, C Kan, Y Zhou
Transportation research part F: traffic psychology and behaviour 89, 371-384, 2022
92022
Roadmap for child-pedestrian training program informed by contextual crash data
AJ Rimu, S Deb, M Islam, R Etminani-Ghasrodashti, A Pande
Transportation research record 2676 (11), 250-261, 2022
32022
A Virtual Reality Program to Improve Child Pedestrians’ Safety at Street-Crossing Scenarios
T Rahman, B Santiago, A Rimu, S Deb, A Pande, M Islam
Human Factors and Systems Interaction. AHFE (2022) International Conference …, 2022
32022
Identification of Potential Warning Signals for a Smartphone-based Bicyclist Assistant System
A Rimu, R Panik, S Murali, K Watkins, M Li, S Deb
Human Factors and Systems Interaction 52 (52), 2022
22022
Cyclists’ Inattention for Interacting with Assistive Technology: A Facial Expression-based Analysis
A Rimu, S Sharif, J Sood, A Dubey, A Nagargoje, S Deb
IISE Annual Conference and Expo, 2023
2023
An Equity-Driven Approach for School Zone Safety to Inform Safe Routes to School (SRTS)
M Islam, S Deb, AJ Rimu, T Rahman, R Etminani-Ghasrodashti, ...
Center for Transportation, Equity, Decisions and Dollars (CTEDD)(UTC), 2023
2023
INCREASING THE SAFETY OF BICYCLISTS USING A CYCLIST BEHAVIOR QUESTIONNAIRE AND A SMARTPHONE BASED APPLICATION
AJ Rimu
2023
How to Design Traffic Infrastructure to Support Cyclists’ Interaction with Autonomous Vehicles: Teenage Cyclists’ Perceptions
Obiageli Lawrentia Ngwu, Anika Rimu, Shuchisnigdha Deb
http://doi.org/10.54941/ahfe1002151, 2022
2022
Evaluating the Efficacy of a Warning System for a Smartphone-Based Application Using the FaceReader Software
A Rimu, S Sharif, J Sood, A Dubey, A Nagargoje, S Deb
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