Simulation Modelling Practice and Theory 11 (2003) 597–608 www.elsevier.com/locate/simpat Simulation of marine traffic in Istanbul Strait Ercan K€ ose *, Ersan Basßar, Emrullah Demirci, Abdulaziz G€ unero glu, S ß ebnem Erkebay Faculty of Marine Science, Karadeniz Technical University, 61530 Camburnu, Trabzon, Turkey Received 25 September 2002; received in revised form 2 October 2003; accepted 22 October 2003 Abstract The Turkish Straits, comprising the Strait of C ß anakkale, the Strait of Istanbul and the Sea of Marmara, are unique in many respects. The very narrow and winding shape of the strait, gives it river like characteristics, and it is an established fact that for mariners the Turkish Straits are one of the most hazardous, crowded, and potentially dangerous, waterways in the world. All the dangers and obstacles characteristic of narrow waterways are present and acute in this critical sea lane. In this research, the simulation of the Istanbul Strait was done under unique traffic conditions and results of this simulation, and the effects of probable increase in marine traffic due to new oil pipelines, are discussed. 2003 Published by Elsevier B.V. Keywords: Istanbul Strait; Marine traffic; Scenarios; Simulation 1. Introduction The Turkish Straits, comprised of the Istanbul, the C ß anakkale Straits and the Sea of Marmara, form a waterway of strategic and economic importance. As the only water route between the Black Sea and the Mediterranean, the Turkish Straits both geographically and metaphorically connect Europe to Asia. The Strait of Istanbul, in particular, presents the greatest challenge for navigation as it snakes through the heart of Istanbul, a city of over 10 million people and rich with thousands of years of history, which is declared as a ‘‘World Heritage City’’ by UNESCO. * Corresponding author. E-mail address: [email protected] (E. K€ ose). 1569-190X/$ - see front matter 2003 Published by Elsevier B.V. doi:10.1016/j.simpat.2003.10.001 598 E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 Fig. 1. Strait of Istanbul. The Strait of Istanbul is approximately 31 km long, with an avarage width of 1.5 km. Among the straits of the world, it is the narrowest, constricted to a mere 698 m between Kandilli and Bebek (Fig. 1). 2. Maritime traffic in the straits The maritime traffic in the Turkish Straits is exceptionally dense due to the merchant traffic, coasters, fishing vessels and local traffic causing difficulties with navigation (white dots in Fig. 2 shows ships either passing strait or waiting at the both enterances). This dense traffic includes the transport of noxious, dangerous and hazardous cargo (oil, LNG, LPG, chemicals, other explosive and environmentally hazardous substances). Internal vessel movement in the Strait of Istanbul is more than 2000 per day. This figure does not include the movement of transiting ships, leisure craft and fishing vessels. In I_ stanbul [2], 1.5 million people are daily on the move at sea by intro-city ferries and other shuttle boats, crossing from one side to the other. E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 599 Fig. 2. Satellite image of Istanbul Strait. The Strait of Istanbul takes several sharp turns. The vessels must change courses at least 12 times. At the narrowest point (Kandilli), a 450 course alteration is required. At Yenik€ oy, the necessary course alteration is 800 . At the turns (Kandilli and Y€ onik€ oy) where significant course alterations have to be made, the rear and forward sights are totally blocked prior to and during the manoeuvre. The ships approaching from the opposite direction cannot be seen round the bends [1]. The volume of traffic is expected to increase by 40–50% with additional traffic coming from the Main-Danube, Volga-Baltic and Don waterways. Traffic congestion will further intensify with the increase in the volume of foreign trade from the Black Sea states. The maritime traffic within the Istanbul Strait is one of the most difficult waterways in the world. Therefore, the traffic within the strait can be investigated by simulation techniques. Some strategies such as ship passing time, priority rules, waiting time etc. can be developed and maritime traffic can be investigated when the traffic increases. A simulation model can calculate the performance indicators, which has been used in different systems such as urban, economic, production, and transportation fields [3]. A simulation model can be used for determining the effects of changes (scenarios), namely, in order to evaluate the future of the Istanbul Strait, a simulation model has been used, for example Hayuth et al. used a simulation model to evaluate the future of the port and ensure optimum investment strategies [4]. In this study, the compute simulation language AWESIM [5] was used as the primary modelling tools. Thiers and Jonssens [6] made detailed models of 600 E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 traffic on the rivers, including navigation logic, tides and lock planning. Or and Kahraman [7] conducted analysis of various accident contributing factors and for scenario analysis. 3. Maritime traffic regulations in the Turkish Straits Along with the introduction of the Regulations, the Turkish authorities have also established ‘‘Traffic Separation Schemes’’ (TSS) in the Straits, in accordance with the provisions of ‘‘International Regulation for Prevention of Collusion at Sea’’ (COLREG). The TSS were approved by the International Maritime Organization (IMO) General Assembly in November 1995, in association with ‘‘Rules and Recommendations on Navigation Through the Strait of Istanbul, the Strait of C ß anakkale and Marmara Sea’’. In order to ensure the safe transit of vessels which cannot comply with the TSS, the competent authorities may temporarily suspend two-way traffic and regulate one-way traffic to maintain a safe distance between vessels. For example, as seen in Fig. 3, during the passing VARYAG through I_ stanbul Strait two way traffic was temporarily stopped. The normal speed in the Straits is 10 NM/h relative to land. This speed may be exceeded if the steering way cannot be resched, by informing the traffic control stations and taking care to avoid collisions and creating waves harmful to the environment [8]. Vessels navigating in the Straits shall not overtake vessels proceeding Fig. 3. VARYAG passing through Istanbul Strait. E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 601 before them except it is neccessary. Vessels passing through the Strait shall maintain a distance of at least 8 cable from each other [8,9] When the main surface current exceeds 4 knots or when southern winds reverse the main current in the Istanbul Straits, all vessels with dangerous cargo, large vessels and deep draught vessels with a speed of 10 knots or less shall not enter the Straits. When the main surface current exceeds 6 knots, or strong northerly currents and eddies are caused by southerly winds, all vessels with dangerous cargo, large and deep draught regardless of their speed, shall not enter the Istanbul Strait and, should wait until the current speed is less than 6 knots or the strong reverse currents disappear. When visibility in an area within the Istanbul Strait drops to 1 mile or less, vessel traffic shall be permitted in one direction only. During this time, vessels with dangerous/hazardous cargo, large vessels and deep draft vessels shall not enter to the Istanbul Strait, When visibility in an area within the Istanbul Strait drops to less then 0.5 mile, the vessel traffic shall be suspended for both directions. Table 1 Statistics of passages through the Istanbul Strait 2000 Months Total vessels passed Took Pilot Submitted SP-1 Longer than 200 m Over 500 GRT Not called on Marmara Ports (Direct passages) No. of tankers January February March April May June July August September October November December 3284 3397 3908 4219 4127 4191 4249 4268 4055 4043 4349 3989 1519 1462 1521 1667 1658 1608 1592 1703 1559 1581 1695 1644 2378 2647 2789 3029 3043 3435 3648 3542 3368 3422 3670 3603 180 154 161 173 191 197 197 206 184 179 193 188 3155 3280 3684 3872 3828 3880 3950 3917 3754 3674 3979 3761 2049 2175 2252 2288 2316 2297 2460 2212 2192 2094 2213 2310 384 345 368 425 435 460 482 448 403 383 425 379 Total Monthly average Daily average Percent 48,079 4007 19,209 1601 38,574 3214 2203 184 44,734 3728 26,858 2238 4937 411 134 53 107 6 124 75 14 40% 80% 5% 93% 56% 10% – Notes: In year 2000, 53 towing operations were carried out in the Strait of Istanbul. Total number of tanker passages are 4937; LPG Carriers with 474 passages, Chemical tankers with 682 passages and LNG Carriers with (0) passages are also included in this number. 602 E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 4. Passage statistics Passages through the Istanbul Strait is given in Table 1 [1,2]. In addition to the above statistics, the following relevant statistics were taken [2,10]: • Strait is closed for an average of 20 days/year due to meteorological conditions. • Two direction is closed for 176 h/years and one direction is for 2731 h/year due to dangerous cargo vessels. • Strait is closed for an average of 30 h due to brake down of ships. This increased to 120 h during the incident of Nassia Ship Broker accident. 5. Simulation of the system The developed model is to simulate the traffic within the Istanbul Strait. This model investigates behaviour of traffic according to the different scenarios, different ship arrival and waiting times. Namely, the model simulates traffic at the Istanbul Strait and gives information about future traffic according to different scenarios. Model developed includes only national and international transpassing ships. Therefore, inputs for the model such as the number of ships at both ways were taken from Table 1. Weather conditions were obtained from the State Meteorological Office. Five sub-systems were used to simulate the system. These are traffic flow from direction 1; traffic flow from direction 2; two information systems representing big ships and simulation of bad weather conditions. Each of these processes is modelled by the movement of an entity through a subnetwork. When a bigship (L > 200 m) passes through the strait, it cannot stay in course (Fig. 4). Therefore, traffic from the opposite direction has to be stopped. This is simulated by gates open, which represents no big ship through or closed. To insure that only one ship enters the strait from one side, a resource with capacity of one is employed in conjunction with the gate. These resources are named ka- Fig. 4. Traffic system at Istanbul Strait: (a) vessels L < 200 m; (b) vessels L > 200 m. E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 603 radeniz and marmara corresponding to k1 and m1, and represent the starting location before each direction (Black Sea and Marmara Sea entrance). The starting location is seized by each ship entity before passing through and then freed immediately after it passes. The FIFO rule is applied at the entrances. The network model is depicted in Fig. 5. Although the decision logic for traffic flow for both direction is the same, arrival time and time in system are different, therefore, two networks are used to model both traffic flows with attributes employed to specify the resources and gates required. ATRIB(2) is used to maintain the resource number and file number associated with the first location. If ATRIB(2) equals 1, the ship entity requires the resource k1. If ATRIB(2) equals 2, then resource m1 is required [11]. Entities representing ships are created at two CREATE nodes, one for each direction. The time between ship arrivals is uniformly distributed. Following the creation of the entities, ATRIB(2) is set to 1 for direction 1 and 2 for direction 2. Ships that Fig. 5. Network model for Istanbul Strait. 604 E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 wait for the entrance will be put in file 3 or 4 and ATRIB(3) is used to indicate these numbers. Thus, entities are assigned and ATRIB(3) value of 3 for direction 1 and 4 for direction 2. Once an entity is allocated the starting location, it proceeds to the next AWAIT node where it waits for the gate defined by ATRIB(2), that is either m1 or k1. If the appropriate line closes (which means a big ship goes through to the other line) then the entity will wait in file 3 or 4 in accordance with the value given by ATRIB(3). A COLCT node is used to record values of the waiting time of the ship at the entrance. Two other segments of the model controls the big ship or dangerous cargo vessels entering from each directions and consists of a series of OPEN and CLOSE nodes separated by ACTIVITY’s. In this segment of the model, resources and gates are referred to by the label given to them in the RESOURCE and GATE blocks. GATE 1 refers to a line from the Black Sea to the Marmara, and GATE 2 vice versa. If a gate is open the ship can proceed, otherwise, they have to wait until the gate is open. The system closes the gate according to uniform distribution between 1290 and 1350 min and duration of 190–230 min which corresponds to approximately 1394 h per year. This means one line is closed about 1394 h. This agrees with the statistics which is about 2731 h for two line per year. The last segment of the model is to simulate the dangerous passages and bad weather conditions to close two lines. Scenarios: To simulate the system, the following assumptions are made: • • • • Vessels do not overtake each other. Vessels enter the strait one at a time from each entrance. All vessels are transpassing (not stopping for loading and unloading within strait). Local crossing traffic does not interfere with transit traffic. Ship arrivals were simulated with six different uniform distributions and intervals of these are given in Table 2. One direction was assumed to be closed with the uniform distribution between 340 and 380 min. This corresponds to 2730 h of closure in a year. Closure of two direction was modelled also with uniform distribution between 2300–2500 min, which is about 219 h in a year. Model was run for 43,200 min (1 month) for six different arrival times. The results of the six scenarios are given in Table 2. As seen from Table 3, when the arrival time of a ship decreases from average of 21 to 9, the number of observations increases from 2160 to 3881 ships. These results also indicate that the best situation is the uniform distributions of UNFRM(18,22) and UNFRM(18,21) which simulate the existing situation and suggest that there is no waiting at the both the entrances of the Istanbul Strait. However, when arrival times reduces to an average of 10 min waiting time, and the number of waiting ships, increases rapidly (Fig. 2). This shows that although traffic in the strait is in acceptable condition now, it cannot handle the increment in traffic. E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 605 Table 2 Distribution of ship arrivals Scenarios 1a 2a 3 4 5 6 Low High B M B M 20 18 16 14 12 8 21 18 17 14 11 8 23 22 18 16 14 10 23 21 19 17 13 11 K: Black Sea enterance, M: Marmara Sea enterance. a Existing situation. Table 3 Results of six scenarios Scenarios 1 2 3 4 5 6 K M 2160 2057 2400 2400 2630 2435 3061 2730 3151 3303 3881 3238 K M 20.67 22.63 22.40 27.74 24.89 29.271 31.40 38.01 35.66 782.77 479.31 930.63 Standard deviation K M 42.49 44.15 44.05 49.10 46.54 50.59 52.90 56.91 55.57 439.65 226.719 477.03 Minimum K M 1.475 1.399 1.399 1.738 1.477 1.776 1.69 1.291 1.609 3.560 6.02 5.143 Maximum K M 209.88 208.598 206.87 205.856 205.678 206.918 211.751 213.32 211.672 1581.01 923.88 1796.75 K M 0.708 0.765 0.89 1.185 1.131 1.288 1.796 2.006 2.180 61.687 50.394 99.967 Standard deviation K M 1.975 1.969 2.308 2.614 2.706 2.741 3.648 3.511 3.981 34.932 24.934 53.411 Maximum length K M 10 10 11 11 12 12 15 13 15 126 99 195 Current length K M 0 0 0 0 0 0 0 0 14 125 99 195 Average waiting time (min) K M 14.155 16.06 16.02 21.32 18.58 22.83 25.354 31.743 29.736 777.162 471.122 918.234 0.917 0.916 0.920 0.918 0.913 0.895 0.632 0.688 0.785 0.815 1.00 1.00 # of observation Time in system Mean value Waiting Average length Percent of time open Average utilization K: Black Sea enterance, M: Marmara Sea enterance. Average waiting time (min) E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 Average # of waiting ships 606 120.00 100.00 80.00 60.00 40.00 20.00 0.00 -20.00 0 10 5 1000.00 800.00 600.00 400.00 200.00 0.00 0 2 Scenarios Blacksea ent. Marmara ent. 4 6 8 Scenarios Blacksea ent. Marmara ent. Fig. 6. Average number of waiting ships and waiting time. Fig. 6 indicates that only 36% increment in ship arrivals caused ship waiting time to increase from 16 to 918 min for Marmara entrance. Similar results were also found for Black Sea entrance. 6. Discussions The first simulation is the current level of maritime traffic. Results of this simulation, waiting time at the Black Sea enterance is average 14 and 16 at the enterance of Marmara. This can also be seen from Fig. 7, white dots at the Marmara enterance corresponds to waiting vessels. Additional traffic especially tanker traffic through new pipelines (Fig. 8) of Novorossiysk and Supsa, will increase the traffic at the Turkish Straits. This will increase the waiting times as seen from runs of 4 and 5. This will increase the pressure on the Traffic Control of Istanbul Strait. In addition to causing the traffic problem, this would increase the probability of accident at straits [12]. Fig. 7. Marmara entrance of Istanbul Strait. E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 607 Fig. 8. Existing and proposed pipelines. Every one recognizes that given the nature of the Turkish Strait, and existing grave situation created dense traffic congestion, the strait cannot bear additional oil shipments without putting into danger the security of Istanbul, the lives of its population, its unique historical and precarious environment. 7. Future work Future work should deal with the risk assessment of oil transportation and the effect of increment in oil tankers size, before a disaster occurs. Also C ß anakkale Strait and the whole Turkish Straits (Istanbul Strait, Marmara Sea, and C ß anakkale Strait) should be considered. References [1] [2] [3] [4] [5] [6] TUMPA Turkish Maritime Pilot Association. Available from <www.turkishpilots.com>. State Statistical Institute, 2000 publications. S.A. Hassan, Port activity simulation: an overview, Simul. Dig. 23 (2) (1993) 17–36. Y. Hayuth, M.A. Pollatschek, Y. Roll, Building a port simulator, Simulation 63 (1994) 179–189. Pritsker Cooperation, AWESIM User’s Guide, 1996. G.F. Thiers, G.K. Janssens, A port simulation model as a permanent decision instrument, Simulation 71 (2) (1998). 608 E. K€ose et al. / Simulation Modelling Practice and Theory 11 (2003) 597–608 [7] I. Or, E. Kahraman, A simulation study of the accident risk in the istanbul channel, Int. J. Emergency Manage. (IJEM) (2001). [8] The IMO rules and recommendations on navigation through the Strait of Istanbul, Strait of C ß anakkale and the Marmara Sea, IMO do MSC 63/23, 1994. [9] The Strait of Istanbul, Sea of Marmara and the Strait of C ß anakkale Routeing Guide, Turkish Dept. of Navigation Hydrography and Oceanography, second ed., 1995. [10] Republic of Turkey, Undersecretariat For Maritime Affairs. [11] A.A.B. Pritsker, Introduction to Simulation and Slam II, System Publishing Corporation, West Lafayette, Indiana, 1986. [12] I. Or, M. Sevilir, E. Erkut, An investigation of naval accident probabilities and causes in the Istanbul channel, J. Manage. Sci. Region. Develop. 1 (2) (1999) 47–60.
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