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Reducing Unnecessary Pedestrian-to-Vehicle Transmissions Using a Contextual Policy

Authors:

Marco Gruteser,

John B. KenneyAuthors Info & Claims

CarSys '17: Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services

Pages 3 - 10

https://doi.org/10.1145/3131944.3131948

Published: 20 October 2017 Publication History

Abstract

The safety of vulnerable road users (VRU) (e.g., pedestrians, bicyclists) can be improved by sharing their position and context information with vehicles over a wireless communication channel. However, challenges exist in managing transmission in densely populated areas with large numbers of VRUs, since these transmissions may overload the wireless channel leading to transmissions errors and increased battery consumption of the VRU device. This paper hence proposes a contextual transmission policy to address the above challenges. The policy leverages the GPS information available at a personal VRU device to control the message transmission rate for the VRU device. VRUs walking across a street are deemed highly vulnerable and use a larger message transmission rate. Others on the sidewalk are less vulnerable and transmitting fewer messages per time interval. Simulations of a Manhattan VRU scenario show that even with inaccurate GPS readings, significant numbers of transmission can be reduced, which results in a reduction of information age from being 90% of the times less than 1700 msec to 90% of the times less than 710 msec.

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Cited By

Morold MBachmann MDavid K(2022)Toward Context Awareness for Cooperative Vulnerable Road User Collision Avoidance: Incorporating Related Contextual InformationIEEE Vehicular Technology Magazine10.1109/MVT.2022.317307517:3(75-83)Online publication date: Sep-2022
https://doi.org/10.1109/MVT.2022.3173075
Morold MNguyen QBachmann MDavid KDressler F(2020)Requirements on Delay of VRU Context Detection for Cooperative Collision Avoidance2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)10.1109/VTC2020-Fall49728.2020.9348627(1-5)Online publication date: Nov-2020
https://doi.org/10.1109/VTC2020-Fall49728.2020.9348627
Soto IJimenez FCalderon MNaranjo JAnaya J(2019)Reducing Unnecessary Alerts in Pedestrian Protection Systems Based on P2V CommunicationsElectronics10.3390/electronics80303608:3(360)Online publication date: 25-Mar-2019
https://doi.org/10.3390/electronics8030360
Show More Cited By

Index Terms

Reducing Unnecessary Pedestrian-to-Vehicle Transmissions Using a Contextual Policy
1. Networks
  1. Network algorithms
    1. Control path algorithms
      1. Network control algorithms

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Information

Published In

cover image ACM Conferences

CarSys '17: Proceedings of the 2nd ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services

October 2017

94 pages

ISBN:9781450351461

DOI:10.1145/3131944

General Chairs:
Raj Rajkumar
Carnegie Mellon University, USA
,
Xinzhou Wu
Qualcomm Research, USA
,
Program Chairs:
Fan Bai
General Motors Research, USA
,
Hsin-Mu (Michael) Tsai
National Taiwan University, Taiwan

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 October 2017

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MobiCom '17

Sponsor:

SIGMOBILE

MobiCom '17: The 23rd Annual International Conference on Mobile Computing and Networking

October 16, 2017

Utah, Snowbird, USA

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Overall Acceptance Rate 8 of 20 submissions, 40%

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Cited By

Morold MBachmann MDavid K(2022)Toward Context Awareness for Cooperative Vulnerable Road User Collision Avoidance: Incorporating Related Contextual InformationIEEE Vehicular Technology Magazine10.1109/MVT.2022.317307517:3(75-83)Online publication date: Sep-2022
https://doi.org/10.1109/MVT.2022.3173075
Morold MNguyen QBachmann MDavid KDressler F(2020)Requirements on Delay of VRU Context Detection for Cooperative Collision Avoidance2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)10.1109/VTC2020-Fall49728.2020.9348627(1-5)Online publication date: Nov-2020
https://doi.org/10.1109/VTC2020-Fall49728.2020.9348627
Soto IJimenez FCalderon MNaranjo JAnaya J(2019)Reducing Unnecessary Alerts in Pedestrian Protection Systems Based on P2V CommunicationsElectronics10.3390/electronics80303608:3(360)Online publication date: 25-Mar-2019
https://doi.org/10.3390/electronics8030360
Rostami ACheng BLu HKenney JGruteser M(2019)A Light-Weight Smartphone GPS Error Model for Simulation2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)10.1109/VTCFall.2019.8891089(1-5)Online publication date: Sep-2019
https://doi.org/10.1109/VTCFall.2019.8891089
Rostami ACheng BLu HKenney JGruteser M(2019)A Multi-rate Congestion Controller for Pedestrian Communication2019 IEEE Vehicular Networking Conference (VNC)10.1109/VNC48660.2019.9062779(1-8)Online publication date: Dec-2019
https://doi.org/10.1109/VNC48660.2019.9062779
Artal-Villa LOlaverri-Monreal C(2019)Vehicle-Pedestrian Interaction in SUMO and Unity3DNew Knowledge in Information Systems and Technologies10.1007/978-3-030-16184-2_20(198-207)Online publication date: 30-Mar-2019
https://doi.org/10.1007/978-3-030-16184-2_20

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