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Agent- Based Traffic Simulator for Autonomous Vehicles

K. Saha1 , S. Rathee2

Section:Technical Paper, Product Type: Isroset-Journal
Vol.5 , Issue.2 , pp.42-45, Apr-2017


Online published on Apr 30, 2017


Copyright © K. Saha, S. Rathee . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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IEEE Style Citation: K. Saha, S. Rathee, “Agent- Based Traffic Simulator for Autonomous Vehicles,” International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.2, pp.42-45, 2017.

MLA Style Citation: K. Saha, S. Rathee "Agent- Based Traffic Simulator for Autonomous Vehicles." International Journal of Scientific Research in Computer Science and Engineering 5.2 (2017): 42-45.

APA Style Citation: K. Saha, S. Rathee, (2017). Agent- Based Traffic Simulator for Autonomous Vehicles. International Journal of Scientific Research in Computer Science and Engineering, 5(2), 42-45.

BibTex Style Citation:
@article{Saha_2017,
author = {K. Saha, S. Rathee},
title = {Agent- Based Traffic Simulator for Autonomous Vehicles},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {4 2017},
volume = {5},
Issue = {2},
month = {4},
year = {2017},
issn = {2347-2693},
pages = {42-45},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=334},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=334
TI - Agent- Based Traffic Simulator for Autonomous Vehicles
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - K. Saha, S. Rathee
PY - 2017
DA - 2017/04/30
PB - IJCSE, Indore, INDIA
SP - 42-45
IS - 2
VL - 5
SN - 2347-2693
ER -

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Abstract :
In near future, there is a great possibility of autonomous vehicle navigation. These days stop signs, traffic lights, and intersections assist the human-driven cars to cross the traffic. Now the computers will take over the human drivers i.e., the computers will “behind the wheel”. With the help of computerized drivers, automobile travel will be much more safe and efficient because of more accurate control, highly defined sensors and quick reaction times.

Key-Words / Index Term :
AORTA, AIM, Intersection control policy, multi-agent approach, Project Object Model, Open Street Map, reservation idea, traffic simulation

References :
VII. REFERENCES
[1] M. Buehler, K. Iagnemma, S. Singh, “The DARPA Urban Challenge: Autonomous Vehicles in City Traffic”, Springer, Berlin, 2009.
[2] K. Dresner, P. Stone, “A multiagent approach to autonomous intersection management”, Journal of Artificial Intelligence Research, Vol.31, pp. 591-656, 2008.
[3] D. Fajardo, T.-C. Au, S. T. Waller, P. Stone, D. Yang, “Automated intersection control: Performance of a future innovation versus current traffic signal control”, Transportation Research Record: Journal of the Transportation Research Board, Vol.2259, Issue.3, pp. 223–232, 2012.
[4] Nhtsa, “Preliminary statement of policy concerning automated vehicles”, National Highway Traffic Safety Administration, Washington, pp.1-14, 2013.
[5] S. Shladover, C. Desoer, J. Hedrick, M. Tomizuka, J. Walrand, W.-B. Zhang, D. McMahon, H. Peng, S. Sheikholeslam, N. McKeown, “Automated vehicle control developments in the path program”, In IEEE Transactions on Vehicular Technology, vol. 40, no. 1, pp. 114–130, 1991.
[6] C. Wuthishuwongm, A. Traechtler, “Coordination of multiple autonomous intersections by using local neighborhood information”, In Proceedings of IEEE International Conference on Connected Vehicles and Expo (ICCVE), ISA, pp. 48-53, 2013.
[7] M. VanMiddlesworth, K. Dresner, and P. Stone, “Replacing the stop sign: Unmanaged intersection control for autonomous vehicles”, In AAMAS Workshop on Agents in Traffic and Transportation, Portugal, pp. 94–101, 2008.
[8] C. Wuthishuwong and A. Traechtler, “Vehicle to infrastructure based safe trajectory planning for Autonomous Intersection Management”, In Proceedings of IEEE International Conference on ITS Telecommunications (ITST), pp. 175-180, 2013.

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