Motorway Network Simulation Using Bluetooth Data

Karakikes, Ioannis; Spangler, Matthias; Margreiter, Martin

doi:10.1515/ttj-2016-0022

Cited by 10 publications

(5 citation statements)

References 6 publications

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“…[26]. Researches by [27][28][29] indicate that model validation using GEH Statistics is one of the most used and generally accepted methods. GEH statistic method of validation is based on a comparison of traffic volumes between simulation and observation [28].…”

Section: Simulation Settings and Model Validationmentioning

confidence: 99%

The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers

et al. 2020

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The growth of container transport places increasing demand on traffic, especially in situations where container terminals are located near the city centers. The main problem is traffic congestion on networks caused by the integration of Heavy-Duty Vehicles and urban traffic flows. The main objective is to identify the critical traffic parameters which cause negative organizational and environmental impacts on the existing and future traffic demand. A micro-level traffic simulation model was implemented for the testing of the proposed framework-based supply, demand, and control layers. The model was generated and calibrated based on the example of a mid-size Container Terminal “Brajdica” and the City of Rijeka, Croatia. The results indicate that the critical parameters are Queue Length on the approach road to the Container Terminal and the Stop Delay on the main city corridor. High values of these parameters cause negative effects on the environment because of increased fuel consumption and the generation of extra pollution. Due to this problem, a sensitivity analysis of the traffic system performance has been conducted, with a decrement of Terminal Gate Time distribution by 10%. After re-running simulations, the results indicate the impact of subsequent variation in Terminal Gate Time on the decrease of critical parameters, fuel consumption, and vehicle pollution.

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Section: Simulation Settings and Model Validationmentioning

confidence: 99%

The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers

et al. 2020

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“…Mikro-simülasyon programları ile üretilen modellerin kalibre edilmesi gerekmektedir. Kalibrasyon için GEH formülü (Alomari et al, 2016;Karakikes et al, 2016), bağıl hata (Yu et al, 2006;Song et al 2012) gibi farklı yöntemler kullanılmaktadır. Bu çalışmada üretilen modellerin kalibrasyonunu ölçmek için araç hacimleri üzerinde doğrulama testi olarak kullanılan GEH (Geoffrey E. Havers) formülünden faydalanılmıştır (Jeihani et al, 2013;Oketch and Carrick, 2005).…”

Section: Materyal Ve Metotunclassified

Kentiçi Kavşakların Mikrosimülasyon Yöntemiyle Modellenmesi: Erzurum İli Örneği

Baş

Çolak

Demİrİz

et al. 2020

European Journal of Science and Technology

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Depending upon improving technology, increase at the number of vehicles has appeared in Erzurum province as in all around the world, and this has caused increase at traffic volume in main arteries and intersections on these inner-city main arteries. Because Tebrizkapı Junction is located between Cumhuriyet Street, Karskapı Street which is the busiest center of the city, and Taş Mağazalar Street, one of the most important shopping centers, it is exposed to serious traffic intensity especially in the morning working hours and evening working hours. In accordance with the numbers of countings, peak hour for the morning in Tebrizkapı intersection is between 7.45 and 8.45 a.m., and the peak hour for the evening is between 4.45 and 5.45 p.m. The traffic volumes of peak hours were used during the simulation. In this study, using the AIMSUN software, the current state of the Tabrizkapı Junction, and the different junction types and designs are simulated by Micro-simulation. The GEH (Geoffrey E. Havers) formula, which is used as a verification test on traffic volumes, was used to measure the accuracy of the models produced. The delay time and the stop time for the existing situation were 41.10 and 26.85 seconds, respectively. By changing the type of the existing intersection, the Roundabout and Grade Seperated Junctions were designed and simulated. The delay times for the new designs were found as 9.21 and 5.03 seconds for Roundabout and Grade Seperated Junction respectively. The stop times for the new designs were found 1.66 and 1.20 seconds for Roundabout and Grade Seperated Junctions respectively. As a result of the simulations, the most appropriate intersection type was found as Grade Seperated Junction considering the delay time and stop time factors. Due the high construction cost of the Grade Seperated Junction, the Roundabout junction has been found as the most appropriate choice

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“…The warm-up period was set equal to 900 seconds in order to load the network realistically before the beginning of the evaluation of the results. In order to ensure a validated representation of reality, the model was calibrated by checking for coding errors and false insertion of input data while adjusting various parameters iteratively until results fall within certain thresholds (Karakikes et al, 2016). The acceptance tolerances were determined according to Wisconsin DOT (2017).…”

Section: Vissim Modelmentioning

confidence: 99%

Evaluation of Freight Measures by Integrating Simulation Tools: The Case of Volos Port, Greece

Karakikes

Hofmann

Mitropoulos

et al. 2018

Transport and Telecommunication Journal

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Simulation modelling tools have been widely adopted for the evaluation of alternatives in transport planning, management and logistics. The complexity that underlies in transport systems and logistics necessitate the integration of different models that are capable of overcoming limitations that may exist individually to each model. Towards this direction, this paper aims to integrate two simulation software and use the integrated model for the evaluation of traffic and logistics measures in the wider area of Volos Port, Greece. The built model is able to simulate the traffic conditions on a transport network along with port’s intra-logistics processes and is used to evaluate a set of measures in the year 2030, by comparing it with the situation in the year 2030 without having implemented any new measure. For the evaluation, a set of indicators is used to gauge the environmental and transport impacts. The analysis is completed by using a multi-criteria decision making tool to generate the Logistics Sustainability Index (LSI) to summarize the information that is provided by the indicators. The results show that the use of integrated simulation models can provide a holistic impact evaluation of complex decisions with a high level of accuracy.

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Motorway Network Simulation Using Bluetooth Data

Cited by 10 publications

References 6 publications

The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers

The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers

Kentiçi Kavşakların Mikrosimülasyon Yöntemiyle Modellenmesi: Erzurum İli Örneği

Evaluation of Freight Measures by Integrating Simulation Tools: The Case of Volos Port, Greece

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