TY - JOUR
T1 - A Distributed Intersection Management Protocol for Safety, Efficiency, and Driver's Comfort
AU - Liang, Xiaoyuan
AU - Yan, Tan
AU - Lee, Joyoung
AU - Wang, Guiling
N1 - Funding Information:
Manuscript received September 28, 2017; revised January 3, 2018 and February 15, 2018; accepted March 5, 2018. Date of publication March 20, 2018; date of current version June 8, 2018. This work was supported in part by the NSF under Grant CNS-1647170. (Corresponding author: Xiaoyuan Liang.) X. Liang and G. Wang are with the Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102 USA (e-mail: xl367@njit.edu; gwang@njit.edu).
Publisher Copyright:
© 2014 IEEE.
PY - 2018/6
Y1 - 2018/6
N2 - Improving safety and convenience is always the top priority in designing today's intelligent transportation system. In this paper, we study the problem of how to manage vehicle traffic at intersections by jointly considering safety, driver's comfort, and efficiency, in vehicular ad hoc networks. We propose a distributed intersection management protocol (DIMP), which distributedly coordinates vehicle traffic from different directions by making vehicles exchange critical driving information and adaptively react based on the information. DIMP dynamically guides vehicles to adjust their speed in a way such that both safety and driver's comfort are satisfied. By following DIMP, vehicles can pass the intersections safely and efficiently at a comfortable speed during acceleration/deceleration. We extensively evaluate DIMP, and the evaluation results show that DIMP is both effective and efficient in managing vehicle traffic at intersections.
AB - Improving safety and convenience is always the top priority in designing today's intelligent transportation system. In this paper, we study the problem of how to manage vehicle traffic at intersections by jointly considering safety, driver's comfort, and efficiency, in vehicular ad hoc networks. We propose a distributed intersection management protocol (DIMP), which distributedly coordinates vehicle traffic from different directions by making vehicles exchange critical driving information and adaptively react based on the information. DIMP dynamically guides vehicles to adjust their speed in a way such that both safety and driver's comfort are satisfied. By following DIMP, vehicles can pass the intersections safely and efficiently at a comfortable speed during acceleration/deceleration. We extensively evaluate DIMP, and the evaluation results show that DIMP is both effective and efficient in managing vehicle traffic at intersections.
KW - Automotive engineering
KW - distributed algorithms
KW - vehicle safety
KW - vehicular ad hoc networks
UR - http://www.scopus.com/inward/record.url?scp=85044284871&partnerID=8YFLogxK
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U2 - 10.1109/JIOT.2018.2817459
DO - 10.1109/JIOT.2018.2817459
M3 - Article
AN - SCOPUS:85044284871
SN - 2327-4662
VL - 5
SP - 1924
EP - 1935
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 3
M1 - 8320295
ER -