PMID- 34577365
OWN - NLM
STAT- MEDLINE
DCOM- 20210929
LR  - 20211001
IS  - 1424-8220 (Electronic)
IS  - 1424-8220 (Linking)
VI  - 21
IP  - 18
DP  - 2021 Sep 14
TI  - A Safety Reinforced Cooperative Adaptive Cruise Control Strategy Accounting for 
      Dynamic Vehicle-to-Vehicle Communication Failure.
LID - 10.3390/s21186158 [doi]
LID - 6158
AB  - Cooperative Adaptive Cruise Control (CACC) is an advanced technique for 
      organizing and managing a vehicle platoon, which employs the 
      Vehicle-to-Vehicle/Vehicle-to-Infrastructure (V2V/V2I, or V2X) wireless 
      communication to minimize the inter-vehicle distance while guaranteeing 
      string-stability. Consequently, the conventional CACC system relies heavily on 
      the quality of communications, which means that the regular CACC platoon is 
      sensitive to the communication failure. Therefore, in this paper, a Safety 
      Reinforced Cooperative Adaptive Cruise Control (SR-CACC) strategy is proposed to 
      resist unexpected communication failure. Different from the regular CACC system, 
      the safety enhanced platoon control system is embedded with a dual-branch control 
      strategy. When a fatal wireless communication failure is detected and confirmed, 
      the SR-CACC system will automatically activate the alternative sensor-based 
      adaptive cruise control strategy. Moreover, to make the transforming process 
      smooth, a linear smooth transition algorithm is added to the SR-CACC system. 
      Then, to verify the performance of the proposed SR-CACC system, we conducted a 
      simulation experiment with a heterogonous platoon constructed with eight 
      vehicles. The experiments results reveal that, under the extremely poor 
      communication environment, the proposed SR-CACC strategy can significantly 
      improve the safety performance of the organized vehicle platoon.
FAU - Liu, Yi
AU  - Liu Y
AUID- ORCID: 0000-0002-6891-121X
AD  - Jiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou #2, Nanjing 
      210096, China.
AD  - Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic 
      Technologies, Southeast University, Si Pai Lou #2, Nanjing 210096, China.
AD  - School of Transportation, Southeast University, Si Pai Lou #2, Nanjing 210096, 
      China.
FAU - Wang, Wei
AU  - Wang W
AD  - Jiangsu Key Laboratory of Urban ITS, Southeast University, Si Pai Lou #2, Nanjing 
      210096, China.
AD  - Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic 
      Technologies, Southeast University, Si Pai Lou #2, Nanjing 210096, China.
AD  - School of Transportation, Southeast University, Si Pai Lou #2, Nanjing 210096, 
      China.
LA  - eng
GR  - 51878166/National Natural Science Foundation of China/
GR  - 71801042/National Natural Science Foundation of China/
GR  - KYCX21_0126/the Postgraduate Research＆Practice Innovation Program of Jiangsu 
      Province/
PT  - Journal Article
DEP - 20210914
PL  - Switzerland
TA  - Sensors (Basel)
JT  - Sensors (Basel, Switzerland)
JID - 101204366
SB  - IM
MH  - *Communication
MH  - Computer Simulation
PMC - PMC8473121
OTO - NOTNLM
OT  - CACC
OT  - communication failure
OT  - connected vehicles
OT  - vehicle platoon
COIS- Authors declare no conflicts of interest.
EDAT- 2021/09/29 06:00
MHDA- 2021/09/30 06:00
PMCR- 2021/09/14
CRDT- 2021/09/28 01:23
PHST- 2021/08/20 00:00 [received]
PHST- 2021/09/05 00:00 [revised]
PHST- 2021/09/10 00:00 [accepted]
PHST- 2021/09/28 01:23 [entrez]
PHST- 2021/09/29 06:00 [pubmed]
PHST- 2021/09/30 06:00 [medline]
PHST- 2021/09/14 00:00 [pmc-release]
AID - s21186158 [pii]
AID - sensors-21-06158 [pii]
AID - 10.3390/s21186158 [doi]
PST - epublish
SO  - Sensors (Basel). 2021 Sep 14;21(18):6158. doi: 10.3390/s21186158.