Embedded with sensors and appropriate computational entities, a road intersection can be viewed as a pervasive computing environment. The crash rate in road intersections demonstrates the need for a fast and accurate collision detection system. We suggest that an intersection collision detection system should be able to adapt to different types of intersections for faster collision detection. Moreover, a real-time application-level communication protocol to warn affected drivers is required. An intersection agent that takes vehicular status information from vehicle agents and learns, detects and warns collisions at a road intersection is proposed. The issues, challenges, and cost of a multiagent collision avoidance system are discussed. A communication protocol that is designed specifically with intersection safety in mind is presented here.
@inproceedings{DBLP:conf/percom/SalimCIL08,
author = {Flora Dilys Salim and
Licheng Cai and
Maria Indrawan and
Seng Wai Loke},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/percom/SalimCIL08.bib},
booktitle = {Sixth Annual IEEE International Conference on Pervasive Computing
and Communications (PerCom 2008), 17-21 March 2008, Hong Kong},
doi = {10.1109/PERCOM.2008.72},
pages = {621--626},
publisher = {IEEE Computer Society},
timestamp = {Wed, 16 Oct 2019 14:14:54 +0200},
title = {Road Intersections as Pervasive Computing Environments: Towards a
Multiagent Real-Time Collision Warning System},
url = {https://doi.org/10.1109/PERCOM.2008.72},
year = {2008}
}
© 2021 Flora Salim - CRUISE Research Group.