Academic literature on the topic 'SYNCHRO studio Software Traffic Engineering'

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Journal articles on the topic "SYNCHRO studio Software Traffic Engineering"

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Abdulrahman, Alkandari, and Moein Samer. "Vehicle Accident Report Application for Solving Traffic Problems and Reduce the Ratio of Pollution using Case Study: Kuwait City." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 1 (2018): 380–91. https://doi.org/10.11591/ijeecs.v10.i1.pp380-391.

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Minor traffic accidents have become a major problem facing the road users in the recent years, according to the statistics from the Ministry of Interior (MOI) in Kuwait there were recorded 80,388 accidents by the year 2014. Accidents not only affect the mobility but also contribute to air pollution and slow down economic growth. These effects are the result of the seriously extended trips travel time due to accumulated vehicles queue. In some accidents cases, the lost time waiting for the arrival of the traffic officers and filling up the accident report could take up to 45 minutes. The new idea of Vehicle Accident Report application (I-VAR) concept developed by the research team would reduce the waiting time up to 3 minutes (93% savings), which would increase the level of service of the segment of a roadway. In addition, the study will be discussed four major situations on some of the busiest roads in Kuwait. Specifically, gas emissions and cost estimation. Improve the pollution obviously, by using the (I-VAR) application for the minor accidents there is an amount of 360,776,460 K.D would be saved yearly from the Kuwait government funds. It is a consequence of the huge savings in alleviating traffic congestion and generally produces more saver and efficient travel conditions.
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Borza, Sorin, Marinela Inta, Razvan Serbu, and Bogdan Marza. "Multi-Criteria Analysis of Pollution Caused by Auto Traffic in a Geographical Area Limited to Applicability for an Eco-Economy Environment." Sustainability 10, no. 11 (2018): 4240. http://dx.doi.org/10.3390/su10114240.

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The pollution caused by road traffic is a significant problem for society in the 21st century. Climate change and mortality among the population, are increasingly influenced by increasing traffic in urban agglomerations. The present study aims at the multi-criteria analysis of the pollution caused by traffic at several busy intersections in the city of Sibiu, Romania. Classification of intersections was done using the Synchro Studio with Warrants software. Air pollutants, noise, and the number of vehicles in the traffic were taken into account. To analyze these criteria as a whole, the analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) methods were used. A comparative study has been undertaken on the results obtained by applying the two multicriteria methods. The paper aims to provide solutions for the eco-economy of the future.
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Huang, Mei Mei, Qing Yang, and Shang Lin Xiao. "Organization Optimization of Traffic Engineering in Urban CBD." Key Engineering Materials 579-580 (September 2013): 890–93. http://dx.doi.org/10.4028/www.scientific.net/kem.579-580.890.

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Orderly organization of traffic engineering in the urban CBD (Center Business District) is a difficult problem, with crowding people flow, heavy traffic flow and complex surrounding situation. This paper set CBD along Xinhua Street in Jinhua city center as an example, focused on the organization optimization process of traffic engineering in CBD. Through the survey on traffic engineering status of sections and intersections, it analyzed road congestion characteristics and intersection signal timing with Vissim software emulation, proposed traffic optimization methods as road channelization, intersection signal timing adjustment of Xinhua-Liberation Road. In Xinhua Street section, it can effectively canalized traffic flow by broadening 2 two-way lanes, adding four pedestrian crossing refuges, and separating Motor vehicle and non-motor vehicle separation barrier. It took queue length, number of stops, delay time three indicators as the objective function with the application of Synchro software adjusting the intersection signal timing. As a result, the total queue length could be reduced from 708.5m to 586.6m and total capacity from 2041 pcu/ h to 2838 pcu/ h.
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Li, Yan, Lijie Yu, Siran Tao, and Kuanmin Chen. "Multi-Objective Optimization of Traffic Signal Timing for Oversaturated Intersection." Mathematical Problems in Engineering 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/182643.

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For the purpose of improving the efficiency of traffic signal control for isolate intersection under oversaturated conditions, a multi-objective optimization algorithm for traffic signal control is proposed. Throughput maximum and average queue ratio minimum are selected as the optimization objectives of the traffic signal control under oversaturated condition. A simulation environment using VISSIM SCAPI was utilized to evaluate the convergence and the optimization results under various settings and traffic conditions. It is written by C++/CRL to connect the simulation software VISSIM and the proposed algorithm. The simulation results indicated that the signal timing plan generated by the proposed algorithm has good efficiency in managing the traffic flow at oversaturated intersection than the commonly utilized signal timing optimization software Synchro. The update frequency applied in the simulation environment was 120 s, and it can meet the requirements of signal timing plan update in real filed. Thus, the proposed algorithm has the capability of searching Pareto front of the multi-objective problem domain under both normal condition and over-saturated condition.
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Rahimi, Amir Masoud, and Farzad Rahimi. "Traffic Evaluation of SPUI and TUDI Interchanges Based on Traffic Conditions in Tehran with Aimsun and Synchro Software." Iranian Journal of Science and Technology, Transactions of Civil Engineering 44, no. 4 (2019): 1323–34. http://dx.doi.org/10.1007/s40996-019-00300-z.

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Yao, Jiao, Qingyun Tang, and Pincheng Wang. "A Multiroute Signal Control Model considering Coordination Rate of Green Bandwidth." Journal of Advanced Transportation 2021 (December 14, 2021): 1–13. http://dx.doi.org/10.1155/2021/4310403.

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Oriented to characteristics of the inflow and outflow of routes in urban road network, we modified the classical fundamental green wave bandwidth model, in which separate turning green wave band is available for traffic flow from subarterials merging into an arterial, and this variable green wave band can be more flexible to service the commuting traffic. Moreover, with the analysis of the mapping characteristics of the phase coordination rate, the concept of the coordination rate of green wave bandwidth was proposed, with which as the objective function, a multiroute signal coordination control model was established, and this model is a mixed integer linear programming problem with the overall optimal coordination rate of inbound, outbound, and turning movement as the objective. Finally, a case study was given with road network in Suzhou Industrial Park, Jiangsu Province, China. From the simulation results, we can conclude that the coordinated distribution of the model proposed in this study is more stable; the fluctuation range is 0.09, which is less than that of optimization scheme in classical signal timing software Synchro, which is 0.33; and the total route delay can also be reduced by 15% compared to the current situation and 3.3% compared to Synchro optimization solution.
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Zawawa, Ghayda, and Hana Naghawi. "Evaluation of the Operational Performance of Continuous Green T-Intersection under Different Levels of Congestion." Periodica Polytechnica Transportation Engineering 49, no. 1 (2019): 66–73. http://dx.doi.org/10.3311/pptr.14032.

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The main objective of this paper is to evaluate and compare the operational efficiency of a conventional signalized T-intersection with an unconventional Continues Green T-intersection under different congestion levels. The analysis was performed using Synchro.8 micro-simulation software. A total of 48 hypothetical scenarios, 24 scenarios for each design, were created by changing the approach volumes and turning percentages on the major / minor intersecting roadways to reflect different levels of congestion that may occur on any urban intersection. Total intersection delay, Level of Service, maximum queue length and volume-to-capacity ratio (v/c) were the measures of effectiveness used for comparison purposes. These performance measures were selected because they demonstrated the overall efficiency of the intersection design. The simulation results showed that the Continuous Green T-intersection operates the best under stable traffic conditions and that it is not an effective solution for signalized T-intersections under heavy traffic volume.
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Chechina, A., N. Churbanova, A. Garibyan, and M. Trapeznikova. "Digital Training Platform for Comprehensive Traffic Simulation." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 13 (2021): 157–65. http://dx.doi.org/10.3991/ijoe.v17i13.27375.

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The paper deals with the development of software for traffic flow simulation combining the widest spectrum of mathematical approaches used in this field. Macro- and microscopic models, models of cellular automata as well as different numerical methods of their computer implementation are incorporated into a digital platform. Original developments of the authors of the paper such as quasi-gas dynamic traffic model and multilane cellular automata model take the main place. Potential users of the software are students and researchers. The platform possesses an intuitive graphical interface ensuring interactivity. Microsoft Visual Studio with C# is chosen as the development environment, the Unity 3D engine is employed for visualization and collaboration with WinForm projects. In the future, the platform can be transformed into a network computer laboratory providing access to information resources via Internet.
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Engelbrecht, Roelof J., and Kirk E. Barnes. "Advanced Traffic Signal Control for Diamond Interchanges." Transportation Research Record: Journal of the Transportation Research Board 1856, no. 1 (2003): 231–38. http://dx.doi.org/10.3141/1856-25.

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Most modern traffic signal controllers contain "advanced" features that are not often used but may improve traffic operations under certain conditions. The Texas Transportation Institute recently completed a research project for the Texas Department of Transportation, investigating how diamond interchange operations can be improved by using advanced controller features. The research evaluated advanced features available in the traffic signal controllers currently used for diamond interchange control in Texas. Eight potentially useful controller features were identified. The effectiveness of these features was evaluated with hardware-in-the-loop traffic simulation. The researchers considered the applicability of these features under different geometric and demand conditions and investigated the effect of detector technology and human factors issues on implementation. One of the main findings of the research was the potential usefulness of the separate intersection diamond control mode. The separate intersection diamond control mode is not commonly used, but, if applied judiciously under specific geometric and demand conditions, it can provide more efficient control than the three-phase or four-phase sequences typically used in Texas. The free separate intersection mode can significantly reduce stops at interchanges under low-volume conditions, especially if permissive interior left turns are allowed and steps are taken to reduce activation of the interior left-turn phases. The coordinated separate intersection mode has the potential to provide more efficient operation than the three-phase or four-phase sequence under certain conditions that can be determined with signal optimization software such as PASSER III, Synchro, and TRANSYT-7F.
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Hadidi, Taqwa, Hana Naghawi, and Khair Jadaan. "Unconventional Intersection Designs for Improving Traffic Operation Along Arterial Roads." Periodica Polytechnica Transportation Engineering 50, no. 1 (2021): 58–68. http://dx.doi.org/10.3311/pptr.15732.

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The main objective of this paper is to evaluate the effect of implementing four Unconventional Arterial Intersection Designs (UAIDs) including median U-Turn, Superstreet, Jughandle and Single Quadrant Intersection on a major arterial road using SYNCHRO microscopic simulation software. For this purpose, Wadi Saqra Signalized Intersection on Shaker Bin Zaid major arterial road in Amman, Jordan was selected. The simulation results showed that only the Jughandle improved the intersection Level of Service (LOS) slightly, F–E. Nevertheless, the intersection delay was significantly reduced by 64.81%, 76.6%, 91.28% and 75.60% on the proposed Median U-Turn, Superstreet, Jughandle and Single Quadrant unconventional intersection design, respectively. This indicated that these UAIDs don't perform well under heavy traffic volumes. Also, since the Jughandle was the only UAID which improved the LOS on the main intersection, the operational performance of Prince Shaker Bin Zaid arterial after implementing the Jughandle at the main intersection was evaluated including the main intersection: Wadi Saqra intersection, one prior to the main intersection and one after the main intersection. It was found that the use of the Jughandle increased the average travel speed by 35% and decreased the average stopped delay by 28.68% on the arterial road. Also, this paper evaluated the current transportation system and road user's attitude towards UAIDs' implementation through a questionnaire survey. The results indicated high acceptance of UAIDs. Finally, the construction cost for each UAID type was estimated. It was found that the Jughandle had the highest construction cost due to its high acquisition cost.
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Book chapters on the topic "SYNCHRO studio Software Traffic Engineering"

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Cisneros Lombera, Daniel, Boussaad Soualmi, Chouki Sentouh, and Jean-Christophe Popieul. "Driver Model Using Fuzzy Logic for Virtual Validation." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240019.

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Currently, the automotive industry has been adopting new validation methods for its processes during the development and test phases of new technologies. As part of this, the intention of reducing time and costs of physical tests, achieving the reduction of material and human risks. However, this leads to new challenges and problems such as human interaction of the tested technologies. One of these methods consists on the development and validation of new systems using computer simulations due to the high capacity of computer processors, being able to recreate virtually physical measurements of the environment. Nowadays it is used to predict the behavior, reliability and durability of materials, systems, com-ponents, etc. In other hand, the reproduction of realistic traffic in computer simulations remains a major challenge. In this paper we address the driver behavior modeling, a brief description of the use of road safety reports, in order to identify the different objective factors (weather, road condition, driving time…) and subjective factors (fatigue, stress...) that directly or indirectly affect the driver’s behavior. Then, integrate them to build a model with a modular and flexible architecture using a fuzzy logic approach, which will be able to reproduce the behavior of an average driver considering the influence of several factors. Thus, the model will allow to generate a more realistic and natural traffic in numerical simulations. The proposed model was validated in simulation using SCANeR Studio software and the results obtained showed the effectiveness of the proposed model to represent the influence of the characteristics of the driver profile.
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Conference papers on the topic "SYNCHRO studio Software Traffic Engineering"

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Pulugurtha, S. S., and Arpan Desai. "Comparative Evaluation of Synchro and VISSIM Traffic Simulation Software to Model Railroad Crossings." In International Workshop on Computing in Civil Engineering 2007. American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40937(261)23.

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Chen, Hao, Shailesh Hegde, and Angelo Bonfitto. "Aggressive Driving Behavior Detection Using Integrated I-DBSCAN and LSTM Neural Network." In ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/detc2024-143462.

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Abstract Lately, a significant rise in traffic fatalities linked to aggressive driving behaviors has been noted, accentuating the imperative need for research in this domain. Hence, the detection of aggressive driving is increasingly advocated as a strategy not only to alert drivers about their perilous behaviors but also to potentially diminish the incidence of accidents. In parallel, the widespread adoption of driving simulators in the automotive sector has unveiled their profound advantages, especially in terms of repeatability in a controlled environment, helping researchers significantly reduce time and cost of development. Furthermore, driving simulators also provide a safe platform for testing new technologies and evaluating driver behavior in various scenarios. The article presents a method for identifying aggressive driving by analyzing vehicle dynamics data (such as speed, acceleration, and steering angle) collected from simulations in an urban setting using the software SCANeR™Studio. The algorithm employs Iterative Density-based spatial clustering of applications with noise, an unsupervised learning technique, to cluster aggressive driving maneuvers with sub-classification in terms of comfort and safety. Further, this labeled data is used to train a Bayesian optimization-based long short-term memory neural network, a pattern recognition model for the detection of driving behavior. The research findings confirm the model’s notable ability to recognize aggressive driving behaviors, as indicated by the confusion matrix and a F-score of 0.869, showing great potential to enhance road safety.
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