scholarly journals SIMULASI ANTRIAN PELAYANAN PADA GARDU TOL BINJAI

2019 ◽  
Author(s):  
Akim Manaor Hara Pardede

Services performed by service providers must be maximized, so that customers get satisfaction in receiving services. The thing that affects service maximally is the limited available resources, so more research is needed about the queuing system that has gone so far. Binjai City already has a toll road and has been operating since 2018, so far the use of toll roads is still running smoothly, but it should be noted whether this toll road has been operating optimally or not optimally. Toll roads are an important part of the transportation system, toll roads not only function as a good choice to avoid traffic congestion, but also affect all traffic conditions for the metropolitan area. Congestion is currently not a priority issue on the Binjai-Medan toll road. From the results of the research conducted, information is obtained that the number of toll gates is still appropriate, namely 3 Substations, Probability of busy Substation = <1 means that for now the Toll Gate will not be long queues at the time of normal everyday conditions, and further analysis is needed in the following years, so that the possibility of a Toll Station can always be maximized.

SIMAK ◽  
2020 ◽  
Vol 18 (01) ◽  
pp. 84-100
Author(s):  
Hendrikus Kadang ◽  
Virginia Rosalia G ◽  
Thomas Th. Abraham ◽  
Nataniel Papalangi

Various studies on the use of e-money have been conducted and most of them use the positivism approach, so that it is rarely found in the form of an exploration approach especially with regard to toll roads. The purpose of this study is to explore, describe and analyze people's perceptions in using e-money on the toll road in Makassar City. This study uses a semi-structured interview method in the process of collecting data in the analysis unit. The population of this study consists of three categories: toll road users and e-money users, e-money experts, and toll service providers with 10 participants to be interviewed. Data analysis method used is thematic analysis with the help of cross-case analysis. Based on the results of open coding, it can be concluded that e-money is one form of easy transactions and the use of e-money that is safe, efficient payment and saves time, e-money risk levels are lower. Meanwhile, the way to overcome the problem of using e-money on toll roads is to print and save transaction receipts, maintain e-money cards, make compensation, prepare officers, socialize, and register with vendors.


Neutron ◽  
2020 ◽  
Vol 19 (2) ◽  
pp. 41-50
Author(s):  
Chandra Fertilia Novika ◽  
Ika Anggraeni Elfera

The Jakarta inner ring toll road is a toll road that surrounds the inner city of Jakarta. Due to the dense number of vehicles and traffic congestion on the existing inner-city toll roads, the DKI Jakarta Provincial Government plans to increase the number of inner-city toll roads to 6 sections. The project development begins with Section 1A, namely from Kelapa Gading - Pulo Gebang. At present development is still at the stage of foundation work where progress in October 2019 only reached 80.97% of the target of 100%. The work has been delayed and has been extended 2 times. From these problems, this study was conducted to analyze the high risks that affect the time performance of foundation work and corrective and preventive actions. In this study data collection was carried out by distributing 4-step questionnaires, namely expert validation, pilot survey, respondents, and final expert validation. Risk ranking is analyzed using MS. Excel is based on a probability and impact matrix table that aims to determine variables that have a high level of risk. From the results of data analysis, 4 variables fall into the high-risk category, namely the problem of land acquisition, work location is not ready, work drawings are not ready, and the core staff of the project is less competent. The results of expert recommendations for the four variables can be stated in preventive and corrective actions.


Author(s):  
Waka Matsuda ◽  
Yukihiro Tsukada ◽  
Masahiko Kikuchi

In fiscal 2003, the Road Bureau of the Ministry of Land, Infrastructure, and Transport in Japan performed demonstration projects concerning diverse and flexible charge measures for toll roads. The goals were to promote the effective use of roads by encouraging traffic to switch from general purpose roads to toll roads, improving roadside environments, mitigating congestion, and promoting traffic safety measures. This study analyzes the results of the 22 projects. As a result of the bureau's efforts, traffic on the toll-free general purpose roads decreased and traffic on the toll roads increased, with traffic congestion in the affected areas subsequently eased. The projects that were intended to eliminate commuter congestion in regional cities were in many cases particularly effective. However, this effectiveness varied according to the setting of the toll and the interchange section, the type of vehicles involved, the discount time zone, and the locational relationship between the general road and the toll road.


2004 ◽  
Vol 3 (4) ◽  
Author(s):  
Takamasa Akiyama ◽  
Se-Il Mun ◽  
Masashi Okushima

This paper examines the effects of alternative congestion pricing systems, cordon pricing and congestion pricing for existing toll roads, using the network equilibrium model developed for the Osaka Metropolitan Area, Japan. Cordon pricing is more effective in reducing the total efficiency loss from traffic congestion, but produces relatively large amounts of toll revenue. On the other hand, pricing for existing toll roads keeps the loss in consumer surplus (and toll revenue) relatively low to attain the same level of efficiency gain as the cordon pricing.


2012 ◽  
Vol 605-607 ◽  
pp. 2543-2548
Author(s):  
Gang Xu ◽  
Hai He Jin ◽  
Jing Liu

With the development of the city, the traffic congestion and traffic accidents on the urban road increase frequently. Using traffic modeling and analysis to improve the traffic conditions become more important. Now, using the traffic flow model to study the traffic problems has made many achievements. However, traffic flow model cannot be a good choice for describing the relations of the traffic element at a specific moment, but these relations are indeed significant for forecasting traffic status from that moment on. In this paper, a graph model for the static traffic was studied, and then analyzed the feature of a graph substructure for traffic congestion at one moment. We propose an effective frequent subgraph mining algorithm to find the frequent substructure that represent traffic congestion status in a graph. Our mining algorithm can enhance the efficiency of finding the congestion subgraph. Analyzing the proportion of the congestion subgraph in a graph for traffic to forecast the traffic status at that moment later, thus to find ways to improve traffic conditions.


2011 ◽  
Vol 131 (8) ◽  
pp. 1059-1067
Author(s):  
Takahiro Hoshino ◽  
Kazuhiro Tsuboi ◽  
Yoshio Hamamatsu

Author(s):  
Rajesh Kumar Gupta ◽  
L. N. Padhy ◽  
Sanjay Kumar Padhi

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.


Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2393
Author(s):  
Prafull Kasture ◽  
Hidekazu Nishimura

We investigated agent-based model simulations that mimic an ant transportation system to analyze the cooperative perception and communication in the system. On a trail, ants use cooperative perception through chemotaxis to maintain a constant average velocity irrespective of their density, thereby avoiding traffic jams. Using model simulations and approximate mathematical representations, we analyzed various aspects of the communication system and their effects on cooperative perception in ant traffic. Based on the analysis, insights about the cooperative perception of ants which facilitate decentralized self-organization is presented. We also present values of communication-parameters in ant traffic, where the system conveys traffic conditions to individual ants, which ants use to self-organize and avoid traffic-jams. The mathematical analysis also verifies our findings and provides a better understanding of various model parameters leading to model improvements.


2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Mario Muñoz-Organero ◽  
Ramona Ruiz-Blázquez

The automatic detection of road related information using data from sensors while driving has many potential applications such as traffic congestion detection or automatic routable map generation. This paper focuses on the automatic detection of road elements based on GPS data from on-vehicle systems. A new algorithm is developed that uses the total variation distance instead of the statistical moments to improve the classification accuracy. The algorithm is validated for detecting traffic lights, roundabouts, and street-crossings in a real scenario and the obtained accuracy (0.75) improves the best results using previous approaches based on statistical moments based features (0.71). Each road element to be detected is characterized as a vector of speeds measured when a driver goes through it. We first eliminate the speed samples in congested traffic conditions which are not comparable with clear traffic conditions and would contaminate the dataset. Then, we calculate the probability mass function for the speed (in 1 m/s intervals) at each point. The total variation distance is then used to find the similarity among different points of interest (which can contain a similar road element or a different one). Finally, a k-NN approach is used for assigning a class to each unlabelled element.


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