Analysis of Toll Queues by Micro-simulation: Results from a Case Study in Istanbul

Video‐based road traffic monitoring and prediction using dynamic Bayesian networks

“…There are various types of traffic network simulators referenced in the state‐of‐the‐art papers like VISSIM with MATLAB used in [14, 17, 27, 28] and so on but in our work we have used Synchro Studio traffic simulator with MATLAB. Guidelines for the calibration of the road network are very well defined in [18].…”

“…A Kalman filter and inter‐frame centroid‐based approach is used in [16], which is computationally intensive hence, makes it unsuitable for the real‐time framework. Aksoy et al [17] proposed an approach for the bottleneck between the toll booth and the bridge on one of the busiest booths in Istanbul. Simulation model helps in determining the no.…”

Examınatıon of Delay and Travel Tıme at Hıghway Toll Booths Usıng A Mıcro Sımulatıon Program: Example of Northern Marmara Hıghway Kurnaköy Toll Booth

“…There are specific studies that deal with this problem. In one study, it was stated that congestion occurred in the section where the lanes decreased due to the excess capacity in the toll booth area [17]. Sahin [18] conducted a study on the toll booth at the Bosporus Bridge in Istanbul.…”

Simulation-Based Optimization for the Operation of Toll Plaza at Car Park Exit with Mixed Types of Tollbooths and Waiting-Time-Dependent Service

“…Nevertheless, various studies have evaluated and proposed strategies to improve the operation of the highway toll collection system, which is similar to the parking fee collection system. e operation is described with the dynamic traffic states [1][2][3] or queue evolution [4][5][6][7]. After the introduction of Electronic Toll Collection (ETC) system, research efforts have been made to appropriately allocate the ETC and manual toll collection (MTC) tollbooths [8][9][10][11].…”

“…Nevertheless, the queueing theory fails when the probability distribution of either cars' interarrival or tollbooths' service is not all mathematically explicit or when the car's arrival rate is greater than the processing capacity in which the queue tends to be infinite. Simulation tools [4,10,[18][19][20] could capture the behaviors of individual cars, including deceleration, waiting, acceleration, lane choice, lane changing, and paying. Although emulating the entire queueing process could be complex, simulation provides an access to evaluate the system performance when the interarrival of car platoons and service patterns of servers do not yield to the distributions with explicit mathematical forms, and the servers are of mixed types and are dependent on the waiting times of customers.…”