scholarly journals Transportation Management in Universitas Indonesia

2021 ◽  
Vol 1 ◽  
Author(s):  
Gandjar Kiswanto ◽  
Denni Hanzen ◽  
Faradilla Safitri ◽  
Farizha Febrianty

Transportation management is one of the supports for a green and healthy campus. The increasing number of campus population has an impact on the number of vehicles entering the campus environment. So that in order to reduce the number of incoming vehicles, transportation management in the Universitas Indonesia is needed. In addition to regulating the transportation system on campus, transportation management also regulates the prohibition of the UI Civitas Academica from bringing private vehicles into the campus environment. To limit the vehicles that enter the campus environment, UI takes strategic steps such as making policies, building support facilities and planning that have been prepared and will be explained in this paper. to reduce and limit vehicles in the campus environment One of the steps taken by the Universitas Indonesia is to provide Zero Emissions Vehicle (ZEV) transportation such as buses, bicylce, and scooters as a means of transportation that can be used for free by the UI Civitas Academica. To reduce and restrict private vehicles, UI is building a Highway Distribution to facilitate pedestrians, building a BORR (Bikers Outer Ring Road) lane for motorbikes, implementing a gate parking system at every entrance to the UI campus, In addition, UI also enforces various policies such as reducing the parking area, and prohibiting semester 1 and 2 students from bringing private vehicles into the campus environment, this is done by UI to reduce vehicles entering the UI campus

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhi-guang Jiang ◽  
Xiao-tian Shi

The intelligent transportation system under the big data environment is the development direction of the future transportation system. It effectively integrates advanced information technology, data communication transmission technology, electronic sensing technology, control technology, and computer technology and applies them to the entire ground transportation management system to establish a real-time, accurate, and efficient comprehensive transportation management system that works on a large scale and in all directions. Intelligent video analysis is an important part of smart transportation. In order to improve the accuracy and time efficiency of video retrieval schemes and recognition schemes, this article firstly proposes a segmentation and key frame extraction method for video behavior recognition, using a multi-time scale dual-stream network to extract video features, improving the efficiency and efficiency of video behavior detection. On this basis, an improved algorithm for vehicle detection based on Faster R-CNN is proposed, and the Faster R-CNN network feature extraction layer is improved by using the principle of residual network, and a hole convolution is added to the network to filter out the redundant features of high-resolution video images to improve the problem of vehicle missed detection in the original algorithm. The experimental results show that the key frame extraction technology combined with the optimized Faster R-CNN algorithm model greatly improves the accuracy of detection and reduces the leakage. The detection rate is satisfactory.


Author(s):  
Sushruta Mishra ◽  
Shikha Patel ◽  
Amiya Ranjan Ranjan Panda ◽  
Brojo Kishore Mishra

Internet of Things (IoT) is a platform that makes a device smart such that every day communication becomes more informative. A Smart Transportation system basically consists of three components which include smart roads, smart vehicles and a smart parking system. Smart roads are used to describe roads that use sensors and IoT technology which makes driving safer and greener. Smart parking system involves an automated system model that can assist the drivers in selecting the suitable parking spot for them. The data that the system collects will be sent for some analysis. It provides real time information to drivers about various aspects of transportation like weather conditions, traffic scenario, road safety, parking space, and many other things. A well-built Smart Transportation system reduces the risk of accidents, improves safety, increases capacity, reduces fuel consumption, and enhances overall comfort and performance for drivers. Our chapter deals with the in-depth discussion of these various aspects of a smart transportation system enabled with IoT technology.


1998 ◽  
Vol 1625 (1) ◽  
pp. 124-130 ◽  
Author(s):  
Robert E. Brydia ◽  
Shawn M. Turner ◽  
William L. Eisele ◽  
Jyh C. Liu

The intelligent transportation system (ITS) components deployed in U.S. urban areas produce vast amounts of data. These ITS data often are used for real-time operations and then are discarded. Few transportation management centers have any mechanism for sharing the data resources among other transportation groups or agencies within the same jurisdiction. Meanwhile, transportation analysts and researchers often struggle to obtain accurate, reliable data about existing transportation performance and patterns. The development of an ITS data management system (referred to as ITS DataLink) that is used to store, access, analyze, and present data from the TransGuide center in San Antonio, Texas, is presented. Data outputs are both tabular and graphical. No user costs are associated with the system except for an Internet connection.


2019 ◽  
Vol 276 ◽  
pp. 03008 ◽  
Author(s):  
Annisa ◽  
Herman ◽  
Irvan Wiradinata

Traffic congestion has been a major transportation problem in developing countries as private vehicles ownership has been increased dramatically each year. To solve this problem, local authorities need to construct new roads as well as parking infrastructure to meet consumer demand. Park and Ride can be regarded as a transportation management concept that can solve this demand. Park and Ride refers to a transportation management concept where travelers transit from a private transportation (i.e. motorcycle, car, bicycle, and other private transportation modes) to a public transportation system (i.e. bus, tram, heavy railway, mass rapid transport, and so forth). Park and Ride is believed to reduce private transportation in the metropolitan area of a city. In addition, Park and Ride should be located near a public transportation station in the suburban area. Hence, travelers can easily transit from their private vehicles in the suburban area to commute to urban area by using the public transportation system. This research will focus on the study of Park and Ride development in Bandung Metropolitan Area, Indonesia. Park and Ride, as explained earlier, may offer a solution to a sustainable transportation in Bandung Metropolitan Area.


2019 ◽  
Vol 15 (3) ◽  
pp. 377
Author(s):  
Hesty ., Mansyur ◽  
Bobby Vian Jhon Polii ◽  
Charles Reijaaldo Ngangi

This study aims to 1) Analyze the effect of individually of the sale value of the tax object, land ownership area, and land market price on the value of land compensation in land acquisition development Manado outer Ring Road III (MORR III). 2) Analyze the effect jointly between the sale value of tax objects, land ownership area, and land market price on the value of land compensation in the procurement of land for the construction of MORR III. This research was conducted at the construction site (MORR III) from February to October 2019. This research used quantitative descriptive methods. The data collected was primary data and secondary data. Primary data were obtained directly through interviews with key informants namely the Land Procurement Committee for Implementation of MORR III. Secondary data were obtained from the North Sulawesi Land Agency and the Central Statistics Agency. Secondary data is related to Tax Object Selling Value (NJOP) data, Land Ownership Area, Respondents' Livelihoods and Land Compensation Value for the construction of MORR III. The sample selection was done purposevely with a sample of 60 recipients of land compensation. Data Analysis Techniques use 1) Regression Analysis, and 2) Multiple Regression Analysis. The results showed that (1) the Sales Value of Tax Objects or values that showed the average price obtained from a sale and purchase transaction that occurred naturally was positively correlated and significantly affected the value of land compensation determined by the appraisal. Each increased in the Tax Object Sales Value of Rp. 1,000 per m2 will increase the price of compensation by Rp. 540 per m2. The variable area of land ownership owned by the community receiving land compensation in the construction of MORR III has no significant effect on the value of land compensation. An increase in the area of land ownership owned by the people affected by land acquisition for the construction of MORR III only increased the value of land compensation obtained by Rp. 5,840 per m2. Land market price variables or prices that indicated the market value of land were positively correlated and have a significant effect on the value of land compensation determined by the appraisal. Land market price increased of Rp. 1000 per m2 increased the price of land compensation by Rp.1,137 per m2. (2) Variable sale value of tax object, area of land ownership, and land market price indicated 64.0% representation of variables that affected the value of land compensation and jointly have a positive effect on the value of land compensation received by the community land acquisition affected in the construction of MORR III. *eprm*


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