scholarly journals Optimalisasi Manajemen Lalu Lintas Kawasan Jenderal Sudirman Kota Salatiga

2019 ◽  
Vol 24 (2) ◽  
pp. 117
Author(s):  
Rahadian Pradipta ◽  
Bambang Haryadi ◽  
Ismiyati Ismiyati
Keyword(s):  
Scenario Analysis ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Management Strategy ◽  
Network Performance ◽  
Degree Of Saturation ◽  
Banking Services ◽  
The Road ◽  
Traditional Markets

The Jenderal Sudirman area has a strategic function as a trade and service area that gives strong character in the Salatiga. The growth of trade and service activities has increased to become a regional trading area that is influenced by modern trade. With the existence of modern shopping centers, five-star hotels, banking services beside the existing traditional markets affect the increasement of activities. The high intensity of activities raises problems related to traffic congestion. The purpose of this research is to determine the performance of the road network in the Jenderal Sudirman area and formulate a traffic management strategy to deal with the current traffic problems. This research was conducted by analyzing the existing conditions. The method of calculating volume, degree of saturation, and speed used is MKJI 1997. This study uses the SATURN 10.4 program to determine overall network performance. The results showed that the existing condition of the Jenderal Sudirman area undergone problems in Jalan Jenderal Sudirman (2 directions) with 0.86 degree of saturation. The first scenario analysis shows the value of the degree of saturation in Jalan Jenderal Sudirman dropped to 0.55; The Second scenario analysis to 0.90; and the third scenario analysis becomes 0.98. As for the overall network performance, first scenario has advantages on 3 indicators, namely average speed, passenger car unit(pcu)-hour, pcu-rupiah. Based on the overall analysis, a concept of handling traffic problems can be arranged by applying the traffic management strategy first scenario and second scenario through the short-term and long-term stages.

scholarly journals Automatic traffic light controller for emergency vehicle using peripheral interface controller

2019 ◽  
Vol 9 (3) ◽  
pp. 1788 ◽  
Author(s):  
Norlezah Hashim ◽  
Fakrulradzi Idris ◽  
Ahmad Fauzan Kadmin ◽  
Siti Suhaila Jaapar Sidek
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Emergency Situation ◽  
Light Signal ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Light Area ◽  
On The Road

Traffic lights play such important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. An Automatic Traffic Light Controller for Emergency Vehicle is designed and developed to help emergency vehicle crossing the road at traffic light junction during emergency situation. This project used Peripheral Interface Controller (PIC) to program a priority-based traffic light controller for emergency vehicle. During emergency cases, emergency vehicle like ambulance can trigger the traffic light signal to change from red to green in order to make clearance for its path automatically. Using Radio Frequency (RF) the traffic light operation will turn back to normal when the ambulance finishes crossing the road. Result showed the design is capable to response within the range of 55 meters. This project was successfully designed, implemented and tested.

scholarly journals Assessment of road traffic performance of the Tsunami evacuation road in Padang Municipality area based on the traffic volume simulation approach

2020 ◽  
Vol 156 ◽  
pp. 04008
Author(s):  
Yossyafra Yossyafra ◽  
Nurhuda Fitri ◽  
Rahmat Punama Sidhi ◽  
Yosritzal Yosritzal ◽  
Deni Irda Mazni
Keyword(s):  
Land Use ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Road Traffic ◽  
Traffic Volume ◽  
Disaster Mitigation ◽  
Degree Of Saturation ◽  
Vehicle Ownership ◽  
The Road ◽  
Tsunami Disaster

There are many cities on the west coast of the Sumatra, which are at high risk of the Tsunami disaster. Regional Regulations on Regional Spatial Planning for each City/ Regency have compiled disaster mitigation by constructing several evacuation roads. This study wants to illustrate: what are the volume of traffic generation and road performance, if there is a Tsunami disaster. The simulation is developed by predicting traffic volume based on parameters, population density, vehicle ownership, land use, and activities in the area around the road. The assessment was carried out on two tsunami evacuation roads in the city of Padang, West Sumatra Province. The results show that the highest traffic volume occurred in the period from 06.30 a.m until 3:00 p.m., during school activities. One of the roads will not be able to accommodate the volume of traffic during a disaster, due to significant traffic congestion. This study shows that: (1) the period of activity and land use are two main parameters, which must be considered in designing tsunami evacuation roads, (2) The degree of saturation ratio and the ratio between the capacity of sections of Tsunami evacuation routes can be proposed as a parameter for assessing the performance of Tsunami evacuation roads in urban areas.

scholarly journals PENGARUH SUKARELAWAN PENGATUR LALU LINTAS TERHADAP KINERJA SIMPANG TAK BERSINYAL GANESHA SURAKARTA

2019 ◽  
Vol 19 (2) ◽  
pp. 133-142
Author(s):  
Gus Maelan Irfana ◽  
Nurul Hidayati ◽  
Sri Sunarjono
Keyword(s):  
Traffic Control ◽  
Traffic Congestion ◽  
Motor Vehicle ◽  
Positive Influence ◽  
Degree Of Saturation ◽  
Highway Capacity ◽  
Highway Capacity Manual ◽  
The Road ◽  
On The Road ◽  
The City

Abstract Traffic congestion in the City of Surakarta gave rise to a phenomenal figure among motor vehicle drivers, called the Traffic Control Volunteers or abbreviated as Supeltas. This Supeltas is present on the road to help organize the movement of traffic, as happened at the Surakarta Ganesha Unsignalized Intersection. This study aims to determine the influence of the existence of Supeltas on capacity, degree of saturation, delay, and queuing opportunities that occur at the intersection. The analysis was carried out using the 1997 Indonesian Highway Capacity Manual. The results showed that the intersection without Supeltas had a capacity of 3,114.03 pcu/hour and a degree of saturation of 1.47, while the same intersection but with Supeltas had a capacity of 3,136.81 pcu/hour and a degree of saturation of 1.51. These results indicate that Supeltas has a positive influence on the performance of the intersection. Nevertheless, the degree of saturation in the location increased due to the increase in traffic volume as well as increased capacity. Keywords: unsignalized intersection, intersection performance, intersection capacity, degree of saturation  Abstrak Kemacetan lalu lintas di Kota Surakarta memunculkan sosok fenomenal di kalangan pengendara kendaraan bermotor, yang disebut Sukarelawan Pengatur Lalu Lintas atau disingkat Supeltas. Supeltas ini hadir di jalan untuk membantu mengatur pergerakan lalu lintas, seperti yang terjadi di Simpang Tak Bersinyal Ganesha Surakarta. Penelitian ini bertujuan untuk menentukan pengaruh keberadaan Supeltas terhadap kapasitas, derajat kejenuhan, tundaan, dan peluang antrian yang terjadi di simpang tersebut. Analisis dilakukan dengan menggu-nakan Manual Kapasitas Jalan Indonesia 1997. Hasil analisis menunjukkan bahwa simpang tanpa Supeltas memiliki kapasitas sebesar 3.114,03 smp/jam dan derajat kejenuhan 1,47, sedangkan simpang yang sama tetapi dengan Supeltas memiliki kapasitas sebesar 3.136,81 smp/jam dan derajat kejenuhan 1,51. Hasil tersebut menunjukkan bahwa Supeltas mempunyai pengaruh positif terhadap kinerja simpang. Meskipun demikian, derajat kejenuhan di lokasi tersebut meningkat karena bertambahnya volume lalu lintas di samping kapasitas yang juga meningkat. Kata-kata kunci: simpang tak bersinyal, kinerja simpang, kapasitas simpang, derajat kejenuhan

scholarly journals Mixed Vehicular Traffic Flow Model on an Inclined Multilane Road

2020 ◽  
Vol 5 (7) ◽  
pp. 331-342
Author(s):  
Delina Mshai Mwalimo ◽  
Mary Wainaina ◽  
Winnie Kaluki
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Flow Model ◽  
Free Flow ◽  
Traffic Density ◽  
Fundamental Diagram ◽  
Traffic Flow Model ◽  
The Road ◽  
Slow Moving

This study outlines the Kerner’s 3 phase traffic flow theory, which states that traffic flow occurs in three phases and these are free flow, synchronized flow and wide moving jam phase. A macroscopic traffic model that is factoring road inclination is developed and its features discussed. By construction of the solution to the Rienmann problem, the model is written in conservative form and solved numerically. Using the Lax-Friedrichs method and going ahead to simulate traffic flow on an inclined multi lane road. The dynamics of traffic flow involving cars(fast moving) and trucks(slow moving) on a multi-lane inclined road is studied. Generally, trucks move slower than cars and their speed is significantly reduced when they are moving uphill on an in- clined road, which leads to emergence of a moving bottleneck. If the inclined road is multi-lane then the cars will tend to change lanes with the aim of overtaking the slow moving bottleneck to achieve free flow. The moving bottleneck and lanechange ma- noeuvres affect the dynamics of flow of traffic on the multi-lane road, leading to traffic phase transitions between free flow (F) and synchronised flow(S). Therefore, in order to adequately describe this kind of traffic flow, a model should incorporate the effect of road inclination. This study proposes to account for the road inclination through the fundamental diagram, which relates traffic flow rate to traffic density and ultimately through the anticipation term in the velocity dynamics equation of macroscopic traffic flow model. The features of this model shows how the moving bottleneck and an incline multilane road affects traffic transistions from Free flow(F) to Synchronised flow(S). For a better traffic management and control, proper understanding of traffic congestion is needed. This will help road designers and traffic engineers to verify whether traffic properties and characteristics such as speed(velocity), density and flow among others determines the effectiveness of traffic flow.

scholarly journals Dynamic Analysis of Traffic State and Congestion Propagation on Bidirectional Grid Network

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Shu-bin Li ◽  
Bai-bai Fu ◽  
Jian-feng Zheng
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Network Performance ◽  
Simulation Software ◽  
Urban Traffic ◽  
Grid Network ◽  
Traffic State ◽  
Proposed Model ◽  
Air Pollutions ◽  
Density Relationship

Many traffic problems in China such as traffic jams and air pollutions are mainly caused by the increasing traffic volume. In order to alleviate the traffic congestion and improve the network performance, the analysis of traffic state and congestion propagation has attracted a great interest. In this paper, an improved mesoscopic traffic flow model is proposed to capture the speed-density relationship on segments, the length of queue, the flow on links, and so forth, The self-developed dynamic traffic simulation software (DynaCHINA) is used to reproduce the traffic congestion and propagation in a bidirectional grid network for different demand levels. The simulation results show that the proposed model and method are capable of capturing the real traffic states. Hence, our results can provide decision supports for the urban traffic management and planning.

scholarly journals Design and Development of Traffic Control System using Image Processing

2021 ◽  
Vol 9 (VI) ◽  
pp. 3247-3252
Author(s):  
G. Kalyan
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Red Light ◽  
Traffic Density ◽  
The Road ◽  
Real Time Traffic ◽  
On The Road

Traffic congestion is now a big issue. Although it seems to penetrate throughout the world, urban towns are the ones which are most effected. And it is expanding in nature that it is necessary to understand the density of roads in real time to better regulate signals and efficient management of transport. Various traffic congestions, such as limited capacity, unrestricted demand, huge Red Light waits might occur. While insufficient capacity and unlimited demand are somehow interconnected, their delay in lighting is difficult to encode and not traffic dependant. The necessity to simulate and optimise traffic controls therefore arises in order to better meet this growing demand. The traffic management of information, ramp metering, and updates in real-time has been frequently used in recent years for image processing and monitoring systems. An image processing can also be used for the traffic density estimation. This research describes the approach for the computation of real-time traffic density by image processing for using live picture feed from cameras. It focuses also on the algorithm for the transmission of traffic signals on the road according to the density of vehicles and therefore aims to reduce road congestion, which reduces the number of accidents.

scholarly journals Authors: Yunhui Zeng ; Wenjuan Hu ; Hongfei Guo ; Shiyue Shen ; Li Huang ; Yiying Lou

2019 ◽  
pp. 57-66
Author(s):  
Yunhui Zeng ◽  
Wenjuan Hu ◽  
Hongfei Guo ◽  
Shiyue Shen ◽  
Li Huang ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Spline Interpolation ◽  
Road Construction ◽  
Traffic Condition ◽  
The Road ◽  
Traffic Capacity ◽  
Significant Difference ◽  
The Difference

Focused on the lane occupancy phenomenon, this paper analyzes the roads during two different accidents to the evacuation period. Firstly, according to the statistical data, this paper calculated the correction coefficients under the road traffic condition, and then obtained the actual traffic capacity result at each moment of the road when combining the function model of the actual traffic capacity corrected by the running speed and the road traffic condition. Next the actual traffic capacity results are fitted to the Smooth spline interpolation, and then the actual traffic capacity is further verified by the traffic congestion situation. The actual traffic capacity of the road during the accident to evacuation is summarized as follows: the actual traffic capacity shows a nonlinear trend, that is, ascending-attenuating-recovering and gradually stabilizing. Finally, using Mann-Whitney U test to carry out the difference test on the actual traffic capacity, it is found that there is significant difference between the two groups of data, and the actual traffic capacity of the second case is stronger than that of the first one, and the reasons for the difference are analyzed as follows: the ratio of the steering traffic volume at the downstream intersection is different; this road section includes the community intersection and there are vehicles entering and leaving; meanwhile the speed of each lane is different and there are buildings near the lane. The above conclusions will provide theoretical basis for the traffic management department to correctly guide the vehicle driving, approve the road construction, design the road channelization plan, set the roadside parking space and the non-port-type bus stations.

scholarly journals Research on the Intelligent Assignment Model of Urban Traffic Planning Based on Optimal Path Optimization Algorithm

2022 ◽  
Vol 2022 ◽  
pp. 1-7
Author(s):  
Yuan Lu ◽  
Shengyong Yao ◽  
Yifeng Yao
Keyword(s):  
Growth Rate ◽  
Optimization Algorithm ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Negative Impact ◽  
Optimal Path ◽  
Urban Traffic ◽  
Path Optimization ◽  
The Road

Congestion and complexity in the field of highway transportation have risen steadily in recent years, particularly because the growth rate of vehicles has far outpaced the growth rate of roads and other transportation facilities. To ensure smooth traffic, reduce traffic congestion, improve road safety, and reduce the negative impact of air pollution on the environment, an increasing number of traffic management departments are turning to new scientifically developed technology. The urban road traffic is simulated by nodes and sidelines in this study, which is combined with graph theory, and the information of real-time changes of road traffic is added to display and calculate the relevant data and parameters in the road. On this foundation, the dynamic path optimization algorithm model is discussed in the context of high informationization. Although the improved algorithm’s optimal path may not be the conventional shortest path, its actual travel time is the shortest, which is more in line with users’ actual travel needs to a large extent.

scholarly journals Efektifitas Load Balancing Dalam Mengatasi Kemacetan Lalu Lintas

Matematika ◽  
2017 ◽  
Vol 16 (2) ◽  
Author(s):  
Erwin Harahap ◽  
Andri Suryadi ◽  
R Ridwan ◽  
Deni Darmawan ◽  
Rakhmat Ceha
Keyword(s):  
Load Balancing ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Traffic Load ◽  
Traffic Jam ◽  
The Road ◽  
Road Congestion ◽  
Vehicle Loads ◽  
Alternative Routes

Abstrak. Kemacetan jalan raya merupakan permasalahan umum di setiap kota yang memerlukan penanganan serius. Pemecahan permasalahan kemacetan jalan raya tidak hanya dapat diselesaikan dengan hanya meningkatkan kualitas dan kuantitas infrastruktur, namun juga manajemen lalu lintas. Pada artikel diusulkan suatu metode untuk mengurangi kemacetan lalu lintas, yaitu dengan menyeimbangkan beban ke berbagai ruas jalan yang disebut dengan load balancing. Melalui metode ini diharapkan beban lalu lintas terbagi secara merata ke berbagai jalur alternatif sedemikian sehingga antrian panjang kendaraan dapat dihindari. Evaluasi efektifitas dari metode load balancing ini dilakukan melalui simulasi dengan mengimplementasikan salah satu bidang ilmu Matematika, yaitu teori Antrian. Simulasi dibuat dengan menggunakan toolbox SimEvents yang dijalankan pada software MATLAB.Kata Kunci: load balancing, kemacetan, lalu lintas, sim-events, matlabAbstract. (the effectiveness of load balancing in reducing the road traffic congestion) Road congestion is a common problem in any city that needs serious handling. The solution of the road congestion problems can not only be solved by simply improving the quality and quantity of infrastructure, but also the traffic management. In this article, we proposed a method to reduce the traffic congestion by balancing the vehicle loads to a various road segments, called as load balancing. Through this method, it is expected that the traffic load is evenly distributed to various alternative routes, such that, long queues and traffic jam can be avoided. Evaluation of the load balancing’s effectiveness is performed through a simulation by implementing the Queueing Theory. Simulations are created using the SimEvents toolbox that runs on MATLAB software.Keywords: load balancing, road congestion, traffic, simevents, matlab.

scholarly journals Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5120
Author(s):  
Radwa Ahmed Osman ◽  
Amira I. Zaki ◽  
Ahmed Kadry Abdelsalam
Keyword(s):  
Traffic Management ◽  
Management Strategy ◽  
Road Traffic ◽  
Emergency Vehicle ◽  
The Road ◽  
V2v Communication ◽  
Vehicle To Vehicle ◽  
Proposed Model ◽  
V2v Communications ◽  
On The Road

Vehicle-to-vehicle communication is a promising paradigm that enables all vehicles in the traffic road to communicate with each other to enhance traffic performance and increase road safety. Through vehicle-to-vehicle (V2V) communication, vehicles can understand the traffic conditions based on the information sent among vehicles on the road. Due to the potential delay caused by traffic jams, emergency vehicles may not be able to reach their destination in the required time, leading to severe losses. The case is more severe especially in developing countries where no emergency-vehicle-dedicated lanes are allocated. In this study, a new emergency vehicle route-clarifying strategy is proposed. The new clarifying strategy is based on vehicular traffic management in different interference medium scenarios. The proposed model aims, through V2V communication, to find the nearest vehicle with which to communicate. This vehicle plays an important role in reducing the travel time: as the emergency message is received, this vehicle will immediately communicate with all the neighboring vehicles on the road. Based on V2V communications, all the vehicles in the road will clear from the lane in the road for the emergency vehicle can safely reach its destination with the minimum possible travel time. The maximum distance between the emergency vehicle and the nearest vehicle was determined under different channel conditions. The proposed strategy applied an optimization technique to find the varied road traffic parameters. The proposed traffic management strategy was evaluated and examined through different assumptions and several simulation scenarios. The obtained results validated the effectiveness and the accuracy of the proposed model, and also indicated significant improvement in the network’s performance in terms of packet delivery ratio (PDR) and average end-to-end delay (E2E).

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