Design and evaluation of a new intersection model to minimize congestions using VISSIM software

Fabianová, Jana; Michalík, Peter; Janeková, Jaroslava; Fábián, Michal

doi:10.1515/eng-2020-0019

Cited by 16 publications

(6 citation statements)

References 24 publications

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“…Detector dipasang pada awal kaki simpang utara sepanjang 47,2 meter dan dari awal kaki simpang utara menuju tengah simpang sepanjang 7,8 meter, jadi total panjang detector adalah 55 meter. Dalam pembuatan detector pada Vissim menggunakan logika program VisVap sebagai pendefinisi cara kerja detector dalam bentuk diagram alur (Fabianova et al, 2020).…”

Section: Hasil Dan Pembahasanunclassified

The Impact of Junction Metering for Improving Intersection Performance using Vissim Software

Budiharjo¹,

Rusmandani²,

Inggriani³

et al. 2021

MKTS

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Sight distance that’s not suitable with the standard, the queue time and the low awareness of vehicle users to give priority to other road users is the reasons for the hampered of traffic movements and reducing the use of intersections. The majority of vehicles for or on minor road use the opponent’s lane because there are no markers, this causes conflict crossing and merging. The researchers conducted study of Junction Metering which consisted of control and sensor settings to improve safety for road users. The method that used for analysis of intersection performance using calculation by software Vissim Full Version and Gap Raff and Hunt. Data collected in this study consisted of four aspects, (1) inventory of intersections; (2) traffic volume; (3) traffic speed; and (4) timelapse. Then alternative junction metering carried out with existing condition. Variable of comparison are level of service, queue length and vehicle delay. The Effectiveness alternative treatment using junction metering can reduce the queue length by 75% and vehicle delay by 17% with the average level of service is A.

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Section: Hasil Dan Pembahasanunclassified

The Impact of Junction Metering for Improving Intersection Performance using Vissim Software

Budiharjo¹,

Rusmandani²,

Inggriani³

et al. 2021

MKTS

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“…Studying the factors that affect train delay allows more effective network capacity planning and efficient rail operations. Several researchers also used VISSIM for evaluating multidirectional impacts of autonomous driving on capacity [27], weather effects and emissions along with traffic capacity aspects [28,29], junction operational evaluations [30], and so on.…”

Section: Literature Reviewmentioning

confidence: 99%

Microscopic Traffic Characterization of Light Rail Transit Systems at Level Crossings

Desta

Tesfaye

Tóth

2021

Advances in Civil Engineering

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The movement of the light rail vehicles (LRVs) is highly interrupted at level crossings during peak hour times, especially when the intersections are not regulated by a coordinated signal system. Traffic modelling ensures better understanding and interpretation of complex traffic interactions. This study is aimed at modelling light rail transit (LRT) system operational characteristics at level crossings in Addis Ababa City using VISSIM software. The studied scenarios at Sebategna (All Way Stop Controlled, AWSC) and CMC (Roundabout) level crossings are the baseline without LRT scenario, the actual scenario with collected LRV headways, twice arrival frequency scenario, signalized actual LRV arrival, and signalized twice actual LRV arrival. The relative comparisons among the tested scenarios depicted that significant travel time savings can be achieved in some approaches if more green time is offered to nonconflicting phases during a light rail crossing. Overall, the average additional delays at level crossings increase from the base scenario with increasing light rail crossing frequencies, and delay at the level crossing is the second important variable that contributes to the variability of train travel time at peak hours. If it is a must for an intersection to have a rail road to pass through the median, different options should be verified based on the trade-off between the operational cost of the level crossing and the cost incurred if it is grade separated.

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“…Liang [34] used VISSIM to simulate hurricane evacuation traffic in New Orleans, as to better understand evacuation behavior of mass evacuation in urban areas. Fabianova [35] using VISSIM to design and evaluation traffic control model, as to minimize traffic congestion in the traffic network. Chen [36] used VISSIM to set up different control strategies to evaluate the performance of the proposed algorithm, as to alleviate traffic congestion in freeway network of Shanghai.…”

Section: Literature Reviewmentioning

confidence: 99%

Traffic Flow Catastrophe Border Identification for Urban High-Density Area Based on Cusp Catastrophe Theory: A Case Study under Sudden Fire Disaster

Lin

et al. 2020

Applied Sciences

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For traffic management under sudden disasters in high-density areas, the first and foremost step is to prevent traffic congestion in the disaster-affected area by traffic flow management and control, so as to provide enough and flexible traffic capacity for emergency evacuation and emergency rescue. Catastrophe border identification is the foundation and the key to traffic congestion prediction under sudden disaster. This paper uses a mathematical model to study the regional traffic flow in the high-density area under sudden fire disaster based on the Cusp Catastrophe Theory (CCT). The catastrophe border is identified by fitting the CCT-based regional traffic flow model to explore the stable traffic flow changing to the instable state, as to provide a theoretical basis for traffic flow management and control in disaster-affected areas, and to prevent the traffic flow being caught into disorder and congestion. Based on VISSIM simulator data by building simulation scenarios with and without sudden fire disaster in a Sudoku traffic network, the catastrophe border is identified as 439 pcu/lane/h, 529 pcu/lane/h, 377 pcu/lane/h at 5 s, 10 s, 15 s data collection interval in a Sudoku traffic network respectively. The corresponding relative precision, which compares to the method of Capacity Assessment Approach (CAA), is 89.1%, 92.7% and 76.5% respectively. It means that 10 s data collection interval would be the suitable data collection interval in catastrophe border identification and regional traffic flow control in high-density area under sudden fire disaster.

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Design and evaluation of a new intersection model to minimize congestions using VISSIM software

Cited by 16 publications

References 24 publications

The Impact of Junction Metering for Improving Intersection Performance using Vissim Software

The Impact of Junction Metering for Improving Intersection Performance using Vissim Software

Microscopic Traffic Characterization of Light Rail Transit Systems at Level Crossings

Traffic Flow Catastrophe Border Identification for Urban High-Density Area Based on Cusp Catastrophe Theory: A Case Study under Sudden Fire Disaster

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