{"id":322,"date":"2023-03-15T09:02:37","date_gmt":"2023-03-15T09:02:37","guid":{"rendered":"https:\/\/traffic-lab.petra.ac.id\/?page_id=322"},"modified":"2023-05-10T08:09:39","modified_gmt":"2023-05-10T08:09:39","slug":"students-thesis","status":"publish","type":"page","link":"https:\/\/traffic-lab.petra.ac.id\/?page_id=322","title":{"rendered":"Student’s Thesis"},"content":{"rendered":"\n

Traffic Congestion Index of The Top 300 Largest Cities in The World Based on Uncalibrated IFN<\/strong><\/p>\n\n\n\n

The Ideal Flow Network (IFN) method is a new method that can be used to estimate the congestion index. The IFN method is different from the traditional traffic assign methods because it does not require an OD-Matrix in its calculations. In using the IFN method, the road network must be a strongly connected network, and the number of outgoing currents must be the same as that of incoming ones. This causes IFN to be irreducible and premagic. In this study, the IFN method will be used to estimate the congestion rate of 300 major cities in the world based on GDP, population, and area. Read more \u2192<\/a><\/p>\n\n\n\n

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Comparison of Intersection with U-Turn and Traffic Lights with Traditional Methods and Ideal Flow Network<\/strong><\/p>\n\n\n\n

At an intersection, if the vehicle is allowed to turn right immediately and is not allowed to turn right immediately but must turn around to arrive at the destination to the right, it will cause a different total travel time. The difference between these two models is the travel time due to the distance and the time delay due to the red light. The right-turning model (traffic lights) will have a shorter travel time due to shorter distances but a longer red-light delay time compared to the U-turn model. In this study, the calculations will be based on two methods: the traditional method and the ideal flow network method. Read more \u2192<\/a><\/p>\n\n\n\n

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Case Study Utilizing The Ideal Flow Network to Know The Level of Road Congestion Based on GPS Data: Surabaya City<\/strong><\/p>\n\n\n\n

Traffic congestion is a long-standing problem in big cities in Indonesia. To overcome this congestion problem, proper transportation system planning is needed. Traffic planning usually uses expensive traditional methods. This study proposes to use the Ideal Flow Network modeling to analyze the level of road congestion. Read more \u2192<\/a><\/p>\n\n\n\n

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Determination of Traffic Flow Distribution at Intersections Bases on Computer Vision & Deep Learning Technology<\/strong><\/p>\n\n\n\n

Every year, the growth in the number of vehicles in Indonesia has always experienced a rapid increase. As a result of the rapid growth of these vehicles, of course, it can also cause problems such as density and congestion in traffic. This research attempts to develop a system to read and analyze vehicle traffic and generate traffic data at the intersection. Read more \u2192<\/a><\/p>\n\n\n\n

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Ideal Flow Network Calibration in Surabaya’s Central Business District<\/strong><\/p>\n\n\n\n

In planning a road as a transportation medium that can connect several places, requires
a method so that the planned road capacity is in accordance with the needs of the vehicle. However, if the design of the capacity of the road that is made is not in accordance with the needs, the effectiveness of the road will be reduced and cause problems on other roads in the road network. Accordingly, the researcher wants to find a solution to this problem by using a method called the ideal flow network. Read more \u2192<\/a><\/p>\n\n\n\n

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Analysis of Factors Influencing Red Light Violations at Urban Road Junctions<\/strong><\/p>\n\n\n\n

Violations of breaking through a red light at a crossroads in the city of Surabaya are still happening. Therefore this research was conducted to determine the extent to which respondents understood the sanctions for violating running a red light and reducing and then classifying the factors that influence the behavior of running a red light. Read more \u2192<\/a><\/p>\n\n\n\n

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Analysis of Factors Influencing Violation of Speed Limit Rules On Urban Roads<\/strong><\/p>\n\n\n\n

Violations of the speed limit rules on roads in Surabaya still occur frequently. This research was conducted to determine the extent to which respondents understand the existence of ETLE cameras and speed limits on roads and the factors that can influence speed limit violations. Read more \u2192<\/a><\/p>\n\n\n\n

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Car Parking Duration Differences Based On The Driver’s Gender<\/strong><\/p>\n\n\n\n

Parking maneuvers are influenced by various factors, both external and internal. These factors have the potential to influence the driver in performing parking maneuvers. This study aims to determine the characteristics of the driver as an internal factor that can affect the driver’s parking duration. Read more \u2192<\/a><\/p>\n\n\n\n

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Changes in Drivers\u2019 Viewing Frequency, Maneuver Duration, and Degree of Difficulty During Back-In Parking Maneuver with Different Conditions of Parking Spaces<\/strong><\/p>\n\n\n\n

To some people, back-in parking maneuver is a relatively hard thing to do. However,
previous studies have proven that back-in parking is safer than head-in parking because when exiting the parking space (back-out) from head-in parking, the driver’s field of view is more limited, thus increasing the chance of an accident. This study aims to determine the changes in the driver’s viewing frequency on the rear-view mirror, maneuver duration, and degree of difficulty during back-in parking maneuvers. Read more \u2192<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Traffic Congestion Index of The Top 300 Largest Cities in The World Based on Uncalibrated […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-322","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/traffic-lab.petra.ac.id\/index.php?rest_route=\/wp\/v2\/pages\/322","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/traffic-lab.petra.ac.id\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/traffic-lab.petra.ac.id\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/traffic-lab.petra.ac.id\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/traffic-lab.petra.ac.id\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=322"}],"version-history":[{"count":14,"href":"https:\/\/traffic-lab.petra.ac.id\/index.php?rest_route=\/wp\/v2\/pages\/322\/revisions"}],"predecessor-version":[{"id":431,"href":"https:\/\/traffic-lab.petra.ac.id\/index.php?rest_route=\/wp\/v2\/pages\/322\/revisions\/431"}],"wp:attachment":[{"href":"https:\/\/traffic-lab.petra.ac.id\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=322"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}