research-article

Agent-based microscopic pedestrian interaction with intelligent vehicles in shared space

Authors:

Dongfang Yang,

Arda Kurt,

Keith Redmill,

Ümit ÖzgünerAuthors Info & Claims

SCOPE '17: Proceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering

Pages 69 - 74

https://doi.org/10.1145/3063386.3063766

Published: 18 April 2017 Publication History

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Abstract

Looking out for pedestrians has long been one of the most important issues for intelligent vehicles. Sometimes, intelligent vehicles have to cope with a large crowd of pedestrians. This is extremely common in shared spaces such as campus, shopping mall, or transportation station. In this paper, a vehicle-pedestrian interaction simulator is introduced to help intelligent vehicles, especially automated vehicles in The Smart Mobile Operation: OSU Transportation Hub (SMOOTH), achieve better decision making and local path planning. This simulator integrates different characteristics of pedestrians, and is capable of easily configuring and simulating different scenarios. Fundamental simulations have been completed to verify the simulator effectiveness for a pilot four-passenger golf cart. The results show that the simulator can effectively reflect the interaction behavior between vehicles and pedestrians.

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Cited By

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Alghodhaifi HLakshmanan S(2023)Holistic Spatio-Temporal Graph Attention for Trajectory Prediction in Vehicle–Pedestrian InteractionsSensors10.3390/s2317736123:17(7361)Online publication date: 23-Aug-2023
https://doi.org/10.3390/s23177361
Golchoubian MGhafurian MDautenhahn KAzad N(2023)Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic ReviewIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.329119624:11(11544-11567)Online publication date: Nov-2023
https://doi.org/10.1109/TITS.2023.3291196
Kondor DZhang XMeghjani MSanti PZhao JRatti C(2022)Estimating the Potential for Shared Autonomous ScootersIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2020.304714123:5(4651-4662)Online publication date: May-2022
https://doi.org/10.1109/TITS.2020.3047141
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Index Terms

Agent-based microscopic pedestrian interaction with intelligent vehicles in shared space
1. Applied computing
  1. Operations research
    1. Transportation
2. Computing methodologies
  1. Modeling and simulation

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Information

Published In

SCOPE '17: Proceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering

April 2017

82 pages

ISBN:9781450349895

DOI:10.1145/3063386

Conference Chairs:
Abhishek Dubey
Vanderbilt University
,
Aniruddha Gokhale
Vanderbilt University
,
Monika Sturm
Siemens
,
Sokwoo Rhee
NIST

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2017

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Funding Sources

US DoT under the University Transportation Center Program
NSF under the Cyber Physical System Program

Conference

CPS Week '17

CPS Week '17: Cyber Physical Systems Week 2017

April 18 - 21, 2017

Pennsylvania, Pittsburgh

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Cited By

View all

Alghodhaifi HLakshmanan S(2023)Holistic Spatio-Temporal Graph Attention for Trajectory Prediction in Vehicle–Pedestrian InteractionsSensors10.3390/s2317736123:17(7361)Online publication date: 23-Aug-2023
https://doi.org/10.3390/s23177361
Golchoubian MGhafurian MDautenhahn KAzad N(2023)Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic ReviewIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.329119624:11(11544-11567)Online publication date: Nov-2023
https://doi.org/10.1109/TITS.2023.3291196
Kondor DZhang XMeghjani MSanti PZhao JRatti C(2022)Estimating the Potential for Shared Autonomous ScootersIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2020.304714123:5(4651-4662)Online publication date: May-2022
https://doi.org/10.1109/TITS.2020.3047141
Kang SKim YKim S(2020)Automated Spatiotemporal Classification Based on Smartphone App LogsElectronics10.3390/electronics90507559:5(755)Online publication date: 4-May-2020
https://doi.org/10.3390/electronics9050755
Yang DLi LRedmill KOzguner U(2019)Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus2019 IEEE Intelligent Vehicles Symposium (IV)10.1109/IVS.2019.8814092(899-904)Online publication date: Jun-2019
https://doi.org/10.1109/IVS.2019.8814092
Yang DMaroli JLi LEl-Shaer MJabr BRedmill KOzguner FOzguner U(2018)Crowd Motion Detection and Prediction for Transportation Efficiency in Shared Spaces2018 IEEE International Science of Smart City Operations and Platforms Engineering in Partnership with Global City Teams Challenge (SCOPE-GCTC)10.1109/SCOPE-GCTC.2018.00007(1-6)Online publication date: Apr-2018
https://doi.org/10.1109/SCOPE-GCTC.2018.00007
Li LLiu ZOzginer ULian JZhou YZhao Y(2018)Dense 3D Semantic SLAM of traffic environment based on stereo vision2018 IEEE Intelligent Vehicles Symposium (IV)10.1109/IVS.2018.8500714(965-970)Online publication date: Jun-2018
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Yang DOzguner URedmill K(2018)Social Force Based Microscopic Modeling of Vehicle-Crowd Interaction2018 IEEE Intelligent Vehicles Symposium (IV)10.1109/IVS.2018.8500499(1537-1542)Online publication date: Jun-2018
https://doi.org/10.1109/IVS.2018.8500499

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