TY - GEN
T1 - Modeling decisions for the time-dependent optimal lane configuration policy with queueing theory and mathematical programming
AU - Kim, Seongmoon
PY - 2007
Y1 - 2007
N2 - We provide mathematical models to operate a toll plaza with the time-dependent lane configuration policy. To formulate toll operations in the problem we use the queueing theory and mathematical programming. The queueing theory is utilized to obtain the stability condition which requires the mean arrival rate less than the mean service rate in each lane and compute the mean waiting time in the queue. The mathematical programming is used to determine the time-dependent lane configuration to minimize the total waiting and operation costs. In order to apply the introduced mathematical models in real world problem, we provide a case study based on the actual traffic data collected and show how the time-dependent lane configuration policy can be achieved in each time period. By numerical evaluation we demonstrate the electronic toll collection (ETC) is an intelligent transportation system which achieves high throughput and maintains almost no wait time.
AB - We provide mathematical models to operate a toll plaza with the time-dependent lane configuration policy. To formulate toll operations in the problem we use the queueing theory and mathematical programming. The queueing theory is utilized to obtain the stability condition which requires the mean arrival rate less than the mean service rate in each lane and compute the mean waiting time in the queue. The mathematical programming is used to determine the time-dependent lane configuration to minimize the total waiting and operation costs. In order to apply the introduced mathematical models in real world problem, we provide a case study based on the actual traffic data collected and show how the time-dependent lane configuration policy can be achieved in each time period. By numerical evaluation we demonstrate the electronic toll collection (ETC) is an intelligent transportation system which achieves high throughput and maintains almost no wait time.
UR - http://www.scopus.com/inward/record.url?scp=37249036525&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-73729-2_46
DO - 10.1007/978-3-540-73729-2_46
M3 - Conference contribution
AN - SCOPUS:37249036525
SN - 9783540737285
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 489
EP - 499
BT - Modeling Decisions for Artificial Intelligence - 4th International Conference, MDAI 2007, Proceedings
PB - Springer Verlag
T2 - 4th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2007
Y2 - 16 August 2007 through 18 August 2007
ER -