TY - JOUR
T1 - Fuzzy-logic-based incident detection for signalized diamond interchanges
AU - Lee, Sibok
AU - Krammes, Raymond A.
AU - Yen, John
N1 - Funding Information:
This research was supported by a Federal Highway Administration cooperative agreement to the Texas A&M Intelligent Transportation Systems (ITS) Research Center of Excellence. Additional support was provided by the Texas Department of Transportation and the Texas Transportation Institute.
PY - 1998/12/10
Y1 - 1998/12/10
N2 - This paper documents a fuzzy-logic-based incident detection algorithm for signalized urban diamond interchanges. The model is capable of detecting lane-blocking incidents whose effects are manifested by patterns of deterioration in traffic conditions that require adjustments in signal control strategies. As a component of a real-time traffic adaptive control system for signalized diamond interchanges, the algorithm feeds an incident report (i.e., the time, location, and severity of the incident) to the system's optimization manager, which uses that information to determine the appropriate signal control strategy. The performance of the model was studied using a simulation of an actual diamond interchange. The simulation study evaluated the model's performance in terms of detection rate, false alarm rate, and mean time to detect. The model's performance was encouraging, and the fuzzy-logic-based approach is considered promising.
AB - This paper documents a fuzzy-logic-based incident detection algorithm for signalized urban diamond interchanges. The model is capable of detecting lane-blocking incidents whose effects are manifested by patterns of deterioration in traffic conditions that require adjustments in signal control strategies. As a component of a real-time traffic adaptive control system for signalized diamond interchanges, the algorithm feeds an incident report (i.e., the time, location, and severity of the incident) to the system's optimization manager, which uses that information to determine the appropriate signal control strategy. The performance of the model was studied using a simulation of an actual diamond interchange. The simulation study evaluated the model's performance in terms of detection rate, false alarm rate, and mean time to detect. The model's performance was encouraging, and the fuzzy-logic-based approach is considered promising.
UR - http://www.scopus.com/inward/record.url?scp=0032321804&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0032321804&partnerID=8YFLogxK
U2 - 10.1016/S0968-090X(99)00004-2
DO - 10.1016/S0968-090X(99)00004-2
M3 - Article
AN - SCOPUS:0032321804
SN - 0968-090X
VL - 6
SP - 359
EP - 377
JO - Transportation Research Part C: Emerging Technologies
JF - Transportation Research Part C: Emerging Technologies
IS - 5-6
ER -