The toll plaza optimization problem: Design, operations, and strategies

Sea Container Terminals: New Technologies, OR Models, and Emerging Research Areas

“…Besides mixed-integer programming models, some studies use conventional stationary queueing models to analyze the gate system at container terminals (Guan and Liu, 2009;Kim, 2009). However, stationary queueing models should not be used to analyze a queueing system that is non-stationary in nature.…”

Methods for estimating vehicle queues at a marine terminal: A computational comparison

“…The second method is stationary queuing models, which have been widely applied in different industries, for example, Internet traffic management (Chydziński and Chróst, 2011), service industries (Davidson, 1988) and logistics industry (Guan and Liu, 2009;Kim, 2009;Taniguchi et al, 1999). Guan and Liu (2009) use a multi-server M/E k /s queuing model to analyse the gate queue at one container terminal in the port of New York/New Jersey.…”

“…A similar queuing system also exists in some other research areas, for example, the toll plaza design/optimization problem, which has a similar structure and functions as a terminal gate. Kim (2009) uses an M/G/1 queueing model to analyse the car queues in a toll plaza. As discussed by Srivatsan and Kempf (1995), the steady state assumptions preclude use of short-term throughput time predictions.…”

“…Two existing studies, by Guan and Liu (2009) as well as Taniguchi et al (1999), adopt the type M/E k /s of queuing models to explain the truck movements in a marine container terminal and a public logistic terminal, while a study in the neighbour field of toll plaza optimization by Kim (2009) used an M/G/1 queueing model. Our comment on the above model types is that Guan and Liu (2009) as well as Taniguchi et al (1999) mixed the empty and loaded trucks together in the queue analysis and concluded an Erlang distribution of the service time for both kinds of trucks.…”

Antithetic Method‐Based Particle Swarm Optimization for a Queuing Network Problem with Fuzzy Data in Concrete Transportation Systems

“…Queuing decision problems are often encountered in many practical systems, such as flexible manufacturing systems (FMS) (Vakharia et al, 1999), telecommunication systems (Il Choi et al, 2007), field service support systems (Papadopoulos, 1996), transportation systems (Jiang and Adeli, 2004;Kim, 2009;Karim and Adeli, 2003;Ghosh-Dastidar and Adeli, 2006;Bliemer, 2007;Szeto et al, 2011;Putha et al, 2012;Balsamo et al, 2003), and flow-shop-type production systems (Kumar and Singh, 2007). Queuing decision models play an important role in queuing system designs, and typically involve making one or a combination of decisions, such as deciding on the number of servers at a service facility, the efficiency of the servers, and the number of service facilities required (Chen, 2007).…”