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

Author

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  • Roja Ezzati Amini

    (Chair of Transportation Systems Engineering, Department of Civil, Geo and Environmental Engineering, Technical University of Munich, 85748 Munich, Germany)

  • Christos Katrakazas

    (Department of Transportation Planning and Engineering, National Technical University of Athens, 15773 Athens, Greece)

  • Constantinos Antoniou

    (Chair of Transportation Systems Engineering, Department of Civil, Geo and Environmental Engineering, Technical University of Munich, 85748 Munich, Germany)

Abstract

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.

Suggested Citation

  • Roja Ezzati Amini & Christos Katrakazas & Constantinos Antoniou, 2019. "Negotiation and Decision-Making for a Pedestrian Roadway Crossing: A Literature Review," Sustainability, MDPI, vol. 11(23), pages 1-24, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6713-:d:291335
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    References listed on IDEAS

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    1. Alexandra Willis & Nathalia Gjersoe & Catriona Havard & Jon Kerridge & Robert Kukla, 2004. "Human Movement Behaviour in Urban Spaces: Implications for the Design and Modelling of Effective Pedestrian Environments," Environment and Planning B, , vol. 31(6), pages 805-828, December.
    2. Yang, Jianguo & Deng, Wen & Wang, Jinmei & Li, Qingfeng & Wang, Zhaoan, 2006. "Modeling pedestrians' road crossing behavior in traffic system micro-simulation in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 280-290, March.
    3. Malenje, Jairus Odawa & Zhao, Jing & Li, Peng & Han, Yin, 2018. "An extended car-following model with the consideration of the illegal pedestrian crossing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 650-661.
    4. Jolyon J. Faria & Stefan Krause & Jens Krause, 2010. "Collective behavior in road crossing pedestrians: the role of social information," Behavioral Ecology, International Society for Behavioral Ecology, vol. 21(6), pages 1236-1242.
    5. Roxana Mihet, 2013. "Effects of culture on firm risk-taking: a cross-country and cross-industry analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(1), pages 109-151, February.
    6. Carl Johnsson & Aliaksei Laureshyn & Tim De Ceunynck, 2018. "In search of surrogate safety indicators for vulnerable road users: a review of surrogate safety indicators," Transport Reviews, Taylor & Francis Journals, vol. 38(6), pages 765-785, November.
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    Cited by:

    1. Irina Makarova & Larisa Gubacheva & Larisa Gabsalikhova & Vadim Mavrin & Aleksey Boyko, 2025. "Developing Intelligent Integrated Solutions to Improve Pedestrian Safety for Sustainable Urban Mobility," Sustainability, MDPI, vol. 17(19), pages 1-31, October.
    2. Piotr Gorzelanczyk & Henryk Tylicki, 2023. "Methodology for Optimizing Factors Affecting Road Accidents in Poland," Forecasting, MDPI, vol. 5(1), pages 1-15, March.
    3. Junyan Han & Xiaoyuan Wang & Gang Wang, 2022. "Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review," Sustainability, MDPI, vol. 14(13), pages 1-27, July.

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