Relevant bibliographies by topics / Microscopic Simulator

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Microscopic Simulator'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Microscopic Simulator"

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Azevedo, Carlos Lima, Neeraj Milind Deshmukh, Balakumar Marimuthu, Simon Oh, Katarzyna Marczuk, Harold Soh, Kakali Basak, Tomer Toledo, Li-Shiuan Peh, and Moshe E. Ben-Akiva. "SimMobility Short-Term: An Integrated Microscopic Mobility Simulator." Transportation Research Record: Journal of the Transportation Research Board 2622, no. 1 (January 2017): 13–23. http://dx.doi.org/10.3141/2622-02.

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This paper presents the development of an integrated microscopic mobility simulator, SimMobility Short-Term (ST). The simulator is integrated because its models, inputs and outputs, simulated components, and code base are integrated within a multiscale agent- and activity-based simulation platform capable of simulating different spatiotemporal resolutions and accounting for different levels of travelers’ decision making. The simulator is microscopic because both the demand (agents and its trips) and the supply (trip realization and movements on the network) are microscopic (i.e., modeled individually). Finally, the simulator has mobility because it copes with the multimodal nature of urban networks and the need for the flexible simulation of innovative transportation services, such as on-demand and smart mobility solutions. This paper follows previous publications that describe SimMobility’s overall framework and models. SimMobility is an open-source, multiscale platform that considers land use, transportation, and mobility-sensitive behavioral models. SimMobility ST aims at simulating the high-resolution movement of agents (traffic, transit, pedestrians, and goods) and the operation of different mobility services and control and information systems. This paper presents the SimMobility ST modeling framework and system architecture and reports on its successful calibration for Singapore and its use in several scenarios of innovative mobility applications. The paper also shows how detailed performance measures from SimMobility ST can be integrated with a daily activity and mobility patterns simulator. Such integration is crucial to model accurately the effect of different technologies and service operations at the urban level, as the identity and preferences of simulated agents are maintained across temporal decision scales, ensuring the consistency and accuracy of simulated accessibility and performance measures of each scenario.
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., Namit Gupta. "MICROSCOPIC TRAFFIC SIMULATION USING VANETS TRAFFIC SIMULATOR VISSIM." International Journal of Research in Engineering and Technology 03, no. 26 (November 25, 2014): 56–58. http://dx.doi.org/10.15623/ijret.2014.0326012.

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Treiber, M., and A. Kesting. "An Open-Source Microscopic Traffic Simulator." IEEE Intelligent Transportation Systems Magazine 2, no. 3 (2010): 6–13. http://dx.doi.org/10.1109/mits.2010.939208.

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Toledo, Tomer, Haris N. Koutsopoulos, Angus Davol, Moshe E. Ben-Akiva, Wilco Burghout, Ingmar Andréasson, Tobias Johansson, and Christen Lundin. "Calibration and Validation of Microscopic Traffic Simulation Tools: Stockholm Case Study." Transportation Research Record: Journal of the Transportation Research Board 1831, no. 1 (January 2003): 65–75. http://dx.doi.org/10.3141/1831-08.

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The calibration and validation approach and results from a case study applying the microscopic traffic simulation tool MITSIMLab to a mixed urban-freeway network in the Brunnsviken area in the north of Stockholm, Sweden, under congested traffic conditions are described. Two important components of the simulator were calibrated: driving behavior models and travel behavior components, including origin–destination flows and the route choice model. In the absence of detailed data, only aggregate data (i.e., speed and flow measurements at sensor locations) were available for calibration. Aggregate calibration uses simulation output, which is a result of the interaction among all components of the simulator. Therefore, it is, in general, impossible to identify the effect of individual models on traffic flow when using aggregate data. The calibration approach used takes these interactions into account by iteratively calibrating the different components to minimize the deviation between observed and simulated measurements. The calibrated MITSIMLab model was validated by comparing observed and simulated measurements: traffic flows at sensor locations, point-to-point travel times, and queue lengths. A second set of measurements, taken a year after the ones used for calibration, was used at this stage. Results of the validation are presented. Practical difficulties and limitations that may arise with application of the calibration and validation approach are discussed.
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Hoseini, Seyyed Mohammad Sadat. "Comparison of Microscopic Drivers' Probabilistic Lane-changing Models With Real Traffic Microscopic Data." PROMET - Traffic&Transportation 23, no. 4 (January 25, 2012): 241–51. http://dx.doi.org/10.7307/ptt.v23i4.127.

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The difficulties of microscopic-level simulation models to accurately reproduce real traffic phenomena stem not only from the complexity of calibration and validation operations, but also from the structural inadequacies of the sub-models themselves. Both of these drawbacks originate from the scant information available on real phenomena because of the difficulty in gathering accurate field data. This paper studies the traffic behaviour of individual drivers utilizing vehicle trajectory data extracted from digital images collected from freeways in Iran. These data are used to evaluate the four proposed microscopic traffic models. One of the models is based on the traffic regulations in Iran and the three others are probabilistic models that use a decision factor for calculating the probability of choosing a position on the freeway by a driver. The decision factors for three probabilistic models are increasing speed, decreasing risk of collision, and increasing speed combined with decreasing risk of collision. The models are simulated by a cellular automata simulator and compared with the real data. It is shown that the model based on driving regulations is not valid, but that other models appear useful for predicting the driver’s behaviour on freeway segments in Iran during noncongested conditions.
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Abd. Rahman, Noorhazlinda, Muhammad Salleh Abustan, Nadzifah Che Mat, Hitoshi Gotoh, and Eiji Harada. "A Microscopic Dynamics of Crowd Behavior for Crowd Evacuation Simulation in the Event of a Tsunami Disaster." Applied Mechanics and Materials 802 (October 2015): 77–82. http://dx.doi.org/10.4028/www.scientific.net/amm.802.77.

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This paper attempts to demonstrate the simulation of evacuation in the event of a tsunami disaster from the perspectives of microscopic dynamics of crowd behavior. In this contribution, microscopic modeling is performed by using DEM-based crowd behavior simulator, CBS-DE, in which each individual in a crowd is modeled distinctly. The simulator is capable to track the trajectory and rotation of each individual and therefore, suitable in reproducing the details of the evacuation process. In relation to the evacuation process, we have conducted a study at Langkawi International Airport, Malaysia (LIA). Current condition of evacuation process at LIA was reproduced microscopically under two conjectural scenarios. By using microscopic model, adverse scenarios at LIA were studied to highlight the evacuation behavior. The scenario where evacuees have to change their direction can be simulated significantly. In the present conducted simulations, a realistic scenario of an evacuation process evolving in the dynamics virtual 3D environment was produced. Time series of the accumulative number of persons completed the evacuation was presented graphically.
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Hourdakis, John, Panos G. Michalopoulos, and Jiji Kottommannil. "Practical Procedure for Calibrating Microscopic Traffic Simulation Models." Transportation Research Record: Journal of the Transportation Research Board 1852, no. 1 (January 2003): 130–39. http://dx.doi.org/10.3141/1852-17.

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Since the use of simulation is becoming widespread in traffic engineering practice, questions about the accuracy and reliability of its results need to be addressed convincingly. A major criticism related to this issue is proper calibration of the simulation parameters as well as validation, which is often not done or dealt with in an ad hoc fashion. A complete, systematic, and general calibration methodology is presented for obtaining the accuracy needed in high-performance situations. A technique for automating a significant part of the calibration process through an optimization process is also presented. The methodology is general and is implemented on a selected simulator to demonstrate its applicability. The results of the implementation in two freeway sections of reasonable size and complexity, in which detailed data were collected and compared with simulated results, demonstrate the effectiveness of the manual calibration methodology. For instance, through calibration the average volume correlation coefficient on 21 detecting stations improved from 0.78 to 0.96. Comparable results were obtained with the automated calibration procedure with significant time savings and reduced effort.
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Barceló, Jaime, and Jordi Casas. "Stochastic Heuristic Dynamic Assignment Based on AIMSUN Microscopic Traffic Simulator." Transportation Research Record: Journal of the Transportation Research Board 1964, no. 1 (January 2006): 70–80. http://dx.doi.org/10.1177/0361198106196400109.

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Mita, Naoki, Hideki Fujii, and Shinobu Yoshimura. "Parallelization of Path Planning for Large-scale Microscopic Traffic Simulator." Proceedings of The Computational Mechanics Conference 2014.27 (2014): 338–40. http://dx.doi.org/10.1299/jsmecmd.2014.27.338.

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FUJII, Hideki, Hideaki UCHIDA, and Shinobu YOSHIMURA. "Resilience Analysis of Urban Road Network Using Microscopic Traffic Simulator." Proceedings of Mechanical Engineering Congress, Japan 2016 (2016): J1220102. http://dx.doi.org/10.1299/jsmemecj.2016.j1220102.

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Dissertations / Theses on the topic "Microscopic Simulator"

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Kurian, Mathew 1976. "Calibration of a microscopic traffic simulator." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9145.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2000.
Includes bibliographical references (leaves 88-90).
A systematic calibration study was performed on a microscopic traffic simulator- MITSIM. An optimization based framework was developed for calibration. Car- Following model parameters were identified for calibration and experimental design methodology was used to determine the set of sensitive parameters. Calibration was performed by minimizing the deviation between the simulated and observed values of speed. Two different objective function forms were formulated for quantifying the deviation between the simulated and observed values. The search space and the optimum parameter values for the two objective function forms were compared. The effect of stochasticity in calibrating the parameter values was also studied. Stochasticity was found to have a significant impact on the optimal parameter values. It was found that though calibration is an intricate process, the performance of the simulator can be substantially improved by an appropriate calibration study.
by Matthew Kurian.
S.M.
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Sterzin, Emily D. 1979. "Modeling influencing factors in a microscopic traffic simulator." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/29398.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.
Includes bibliographical references (p. 93-95).
Microscopic traffic simulation is an important tool for traffic analysis and dynamic traffic management as it enables planners to evaluate traffic flow patterns, predict and evaluate the outcome of various response plans and assists in decision making. It is a vital tool for traffic management centers and can be helpful in developing contingency plans to enhance the safety and security of the transportation system. This thesis investigates the current state-of-the-practice in traffic microsimulation tools. A survey was developed and administered to developers. Results of the survey indicate critical gaps in including influencing external factors beyond the interaction of vehicles, such as incidents, work zones, or inclement weather, in traffic simulators. This thesis introduces a framework for incorporating such factors in existing models. The nature of the influencing factors limits disaggregate trajectory data collection generally needed to estimate driving behavior models. Therefore, an approach using aggregate calibration to refine and enhance existing driving behavior models is formulated. The aggregate calibration methodology is illustrated with a case study incorporating the effects of weather in driving behavior models using a freeway corridor in the Hampton Roads region of Virginia.
(cont.) MITSIMLab, a microscopic traffic simulation laboratory that was developed for evaluating the impacts of alternative traffic management system designs at the operational level, is used for evaluation. The presence of precipitation was found to be significant in reducing speeds in the case study and was incorporated into the driving behavior models with aggregate calibration. This methodology was found to improve the simulation results, by reducing bias and variability. Assessment of the approach is discussed and recommendations for improvement and further study are offered.
by Emily D. Sterzin.
S.M.
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Song, Xiang Ph D. Massachusetts Institute of Technology. "Scenarios discovery : robust transportation policy analysis in Singapore using microscopic traffic simulator." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82852.

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Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 99-101).
One of the main challenges of making strategic decisions in transportation is that we always face a set of possible future states due to deep uncertainty in traffic demand. This thesis focuses on exploring the application of model-based decision support techniques which characterize a set of future states that represent the vulnerabilities of the proposed policy. Vulnerabilities here are interpreted as states of the world where the proposed policy fails its performance goal or deviates significantly from the optimum policy due to deep uncertainty in the future. Based on existing literature and data mining techniques, a computational model-based approach known as scenario discovery is described and applied in an empirical problem. We investigated the application of this new approach in a case study based on a proposed transit policy implemented in Marina Bay district of Singapore. Our results showed that the scenario discovery approach performs well in finding the combinations of uncertain input variables that will result in policy failure.
by Xiang Song.
S.M.in Transportation
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Dawson, Daniel. "DEVELOPING EMERGENCY PREPAREDNESS PLANS FOR ORLANDO INTERNATIONAL AIRPORT (MCO) USING MICROSCOPIC SIMULATOR WATSIM." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2860.

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Emergency preparedness typically involves the preparation of detailed plans that can be implemented in response to a variety of possible emergencies or disruptions to the transportation system. One shortcoming of past response plans was that they were based on only rudimentary traffic analysis or in many cases none at all. With the advances in traffic simulation during the last decade, it is now possible to model many traffic problems, such as emergency management, signal control and testing of Intelligent Transportation System technologies. These problems are difficult to solve using the traditional tools, which are based on analytical methods. Therefore, emergency preparedness planning can greatly benefit from the use of micro-simulation models to evaluate the impacts of natural and man-made incidents and assess the effectiveness of various responses. This simulation based study assessed hypothetical emergency preparedness plans and what geometric and/or operational improvements need to be done in response to emergency incidents. A detailed framework outlining the model building, calibration and validation of the model using microscopic traffic simulation model WATSim (academic version) is provided. The Roadway network data consists of geometric layout of the network, number of lanes, intersection description which include the turning bays, signal timings, phasing sequence, turning movement information etc. The network in and around the OIA region is coded into WATSim with 3 main signalized intersections, 180 nodes and 235 links. The travel demand data includes the vehicle counts in each link of the network and was modeled as percentage turning count movements. After the OIA network was coded into WATSim, the road network was calibrated and validated for the peak hour mostly obtained from ADT with 8% K factor by comparing the simulated and actual link counts at 15 different key locations in the network and visual verification done. Ranges of scenarios were tested that includes security checkpoint, route diversion incase of incident in or near the airport and increasing demand on the network. Travel time, maximum queue length and delay were used as measures of effectiveness and the results tabulated. This research demonstrates the potential benefits of using microscopic simulation models when developing emergency preparedness strategies. In all 4 main Events were modeled and analyzed. In Event 1, occurrence of 15 minutes traffic incident on a section of South Access road was simulated and its impact on the network operations was studied. The averaged travel time under the incident duration to Side A was more than doubled (29 minutes, more than a 100% increase) compared to the base case and similarly that of Side B two and a half times more (23 minutes, also more than a 100% increase). The overall network performance in terms of delay was found to be 231.09 sec/veh. and baseline 198.9 sec/veh. In Event 2, two cases with and without traffic diversions were assumed and evaluated under 15 minutes traffic incident modeled at the same link and spot as in Event 1. It was assumed that information about the traffic incident was disseminated upstream of the incident 2 minutes after the incident had occurred. This scenario study demonstrated that on the average, 17% (4 minutes) to 41% (12 minutes) per vehicle of travel time savings are achieved when real-time traffic information was provided to 26% percent of the drivers diverted. The overall network performance in delay for this event was also found to improve significantly (166.92 sec/veh). These findings led to the conclusion that investment in ITS technologies that support dissemination of traffic information (such as Changeable Message Signs, Highway Advisory Radio, etc) would provide a great advantage in traffic management under emergency situations and road diversion strategies. Event 3 simulated a Security Check point. It was observed that on the average, travel times to Sides A and B was 3 and 5 minutes more respectively compared to its baseline. Averaged queue length of 650 feet and 890 feet worst case was observed. Event 4 determined when and where the network breaks down when loaded. Among 10 sets of demand created, the network appeared to be breaking down at 30% increase based on the network-wide delay and at 15% based on Level of Service (LOS). The 90% increase appeared to have the most effect on the network with a total network-wide delay close to 620 seconds per vehicle which is 3 and a half times compared to the baseline. Conclusions and future scope were provided to ensure continued safe and efficient traffic operations inside and outside the Orlando International Airport region and to support efficient and informed decision making in the face of emergency situations.
M.S.
Department of Civil and Environmental Engineering
Engineering and Computer Science
Civil Engineering
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Tapani, Andreas. "Traffic Simulation Modelling of Rural Roads and Driver Assistance Systems." Doctoral thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12428.

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Microscopic traffic simulation has proven to be a useful tool for analysis of varioustraffic systems. This thesis consider microscopic traffic simulation of rural roads andthe use of traffic simulation for evaluation of driver assistance systems. A traffic simulation modelling framework for rural roads, the Rural Traffic Simulator(RuTSim), is developed. RuTSim is designed for simulation of traffic on singlecarriageway two-lane rural roads and on rural roads with separated oncoming trafficlanes. The simulated traffic may be interrupted by vehicles entering and leaving themodelled road at intersections or roundabouts. The RuTSim model is applied for analysis of rural road design alternatives.Quality-of-service effects of three alternatives for oncoming lane separation of anexisting Swedish two-lane road are analysed. In another model application, RuTSimis used to simulate traffic on a Dutch two-lane rural road. This application illustratesthat the high level of model detail of traffic micro-simulation may call for use of differentmodelling assumptions regarding driver behaviour for different applications,e. g. for simulation of traffic in different cultural regions. The use of traffic simulation for studies of driver assistance systems facilitateimpact analyses already at early stages of the system development. New and additionalrequirements are however then placed on the traffic simulation model. It isnecessary to model both the system functionality of the considered driver assistancesystem and the driver behaviour in system equipped vehicles. Such requirements canbe analysed using RuTSim. In this thesis, requirements on a traffic simulation model to be used for analysisof road safety effects of driver assistance systems are formulated and investigatedusing RuTSim. RuTSim is also applied for analyses of centre line rumble stripson two-lane roads, of an overtaking assistant and of adaptive cruise control. Thesestudies establish that the assumptions made regarding driver behaviour are crucialfor traffic simulation based analyses of driver assistance systems.
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Damay, Nicolas. "Multiple-objective optimization of traffic lightsusing a genetic algorithm and a microscopic traffic simulator." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168413.

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Given the demand for mobility in our society, the cost of building additionalinfrastructures and the increasing concerns about the sustainability of the trafficsystem, traffic managers have to come up with new tools to optimize the trafficconditions within the existing infrastructure. This study considered to optimizethe durations of the green light phases in order to improve several criteria such asthe ability of the network to deal with important demands or the total pollutantemissions.     Because the modeling of the problem is difficult and computationally demanding,a stochastic micro-simulator called ’Simulation of Urban MObility’ (SUMO) has been used with a stochastic optimization process, namely a Genetic Algorithm (GA).     The research objective of the study was to create a computational frameworkbased on the integration of SUMO and a Multi-Objective Genetic-Algorithm (MOGA).The proposed framework was demonstrated on a medium-size network correspondingto a part of the town of Rouen, France. This network is composed of 11 intersections,168 traffic lights and 40 possible turning movements. The network is monitored with20 sensors, spread over the network. The MOGA considered in this study is basedon NSGA-II. Several aspects have been investigated during the course of this thesis.     An initial study shows that the proposed MOGA is successful in optimizing thesignal control strategies for a medium-sized network within a reasonable amount oftime.     A second study has been conducted to optimize the demand-related model ofSUMO in order to ensure that the behavior in the simulated environment is close tothe real one. The study shows that a hybrid algorithm composed of a gradient searchalgorithm combined with a GA achieved a satisfactory behavior2 for a medium-sizenetwork within a reasonable time.
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Conran, Charles Arthur. "Modeling Microscopic Driver Behavior under Variable Speed Limits: A Driving Simulator and Integrated MATLAB-VISSIM Study." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78234.

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Variable speed limits (VSL) are dynamic traffic management systems designed to increase the efficiency and safety of highways. While the macroscopic performance of VSL systems is well explored in the existing literature, there is a need to further understand the microscopic behavior of vehicles driving in VSL zones. Specifically, driver compliance to advisory VSL systems is quantified based on a driving-simulation experiment and introduced into a broader microscopic behavior model. Statistical analysis indicates that VSL compliance can be predicted based upon several VSL design parameters. The developed two-state microscopic model is calibrated to driving-simulation trajectory data. A calibrated VSL microscopic model can be utilized for new VSL control and macroscopic performance studies, adding an increased dimension of realism to simulation work. As an example, the microscopic model is implemented within VISSIM (overriding the default car-following model) and utilized for a safety-mobility performance assessment of an incident-responsive VSL control algorithm implemented in a MATLAB COM interface. Examination of the multi-objective optimization frontier reveals an inverse relationship between safety and mobility under different control algorithm parameters. Engineers are thus faced with a decision between performing multi-objective optimization and selecting a dominant VSL control objective (e.g. maximizing safety versus mobility performance).
Master of Science
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Lackey, Nathan. "Simulating Autonomous Vehicles in a Microscopic Traffic Simulator to Investigate the Effects of Autonomous Vehicles on Roadway Mobility." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555072367385629.

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Janson, Olstam Johan. "A model for simulation and generation of surrounding vehicles in driving simulators." Licentiate thesis, Linköping : Linköpings universitet, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4672.

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Olstam, Johan. "A model for simulation and generation of surrounding vehicles in driving simulators." Licentiate thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4672.

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Driving simulators are used to conduct experiments on for example driver behavior, road design, and vehicle characteristics. The results of the experiments often depend on the traffic conditions. One example is the evaluation of cellular phones and how they affect driving behavior. It is clear that the ability to use phones when driving depends on traffic intensity and composition, and that realistic experiments in driving simulators therefore has to include surrounding traffic. This thesis describes a model that generates and simulates surrounding vehicles for a driving simulator. The proposed model generates a traffic stream, corresponding to a given target flow and simulates realistic interactions between vehicles. The model is built on established techniques for time-driven microscopic simulation of traffic and uses an approach of only simulating the closest neighborhood of the driving simulator vehicle. In our model this closest neighborhood is divided into one inner region and two outer regions. Vehicles in the inner region are simulated according to advanced behavioral models while vehicles in the outer regions are updated according to a less time-consuming model. The presented work includes a new framework for generating and simulating vehicles within a moving area. It also includes the development of enhanced models for car-following and overtaking and a simple mesoscopic traffic model. The developed model has been integrated and tested within the VTI Driving simulator III. A driving simulator experiment has been performed in order to check if the participants observe the behavior of the simulated vehicles as realistic or not. The results were promising but they also indicated that enhancements could be made. The model has also been validated on the number of vehicles that catches up with the driving simulator vehicle and vice versa. The agreement is good for active and passive catch-ups on rural roads and for passive catch-ups on freeways, but less good for active catch-ups on freeways.
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Books on the topic "Microscopic Simulator"

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Wdowin, Michal. Simulation of magnetic microscopy. Manchester: University of Manchester, 1996.

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Kirkland, Earl J. Advanced computing in electron microscopy. New York: Plenum Press, 1998.

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service), SpringerLink (Online, ed. Theory of Semiconductor Quantum Devices: Microscopic Modeling and Simulation Strategies. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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Mora, Peter, Mitsuhiro Matsu’ura, Raul Madariaga, and Jean-Bernard Minster, eds. Microscopic and Macroscopic Simulation: Towards Predictive Modelling of the Earthquake Process. Basel: Birkhäuser Basel, 2001. http://dx.doi.org/10.1007/978-3-0348-7695-7.

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Haim, Levy, and Solomon Sorin, eds. The microscopic simulation of financial markets: From investor behavior to market phenomena. San Diego: Academic Press, 2000.

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Mendis, Budhika G., ed. Electron Beam-Specimen Interactions and Simulation Methods in Microscopy. Chichester, UK: John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781118696545.

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Joy, David C. Monte Carlo modeling for electron microscopy and microanalysis. New York: Oxford University Press, 1995.

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Park, Brian. Development and evaluation of a calibration and validation procedure for microscopic simulation models. Charlottesville, Va: Virginia Transportation Research Council, 2004.

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Ma, Tao. Genetic algorithm-based combinatorial parametric optimization for the calibration of traffic microscopic simulation models. Ottawa: National Library of Canada, 2001.

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Cagdas, Onal, Régnier Stéphane, Sitti Metin, and SpringerLink (Online service), eds. Atomic Force Microscopy Based Nanorobotics: Modelling, Simulation, Setup Building and Experiments. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2012.

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Book chapters on the topic "Microscopic Simulator"

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Fellendorf, Martin, and Peter Vortisch. "Microscopic Traffic Flow Simulator VISSIM." In Fundamentals of Traffic Simulation, 63–93. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6142-6_2.

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Biurrun-Quel, Carlos, Luis Serrano-Arriezu, and Cristina Olaverri-Monreal. "Microscopic Driver-Centric Simulator: Linking Unity3D and SUMO." In Advances in Intelligent Systems and Computing, 851–60. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56535-4_83.

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Williams, David B., and C. Barry Carter. "Image Simulation." In Transmission Electron Microscopy, 533–48. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-76501-3_30.

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Williams, David B., and C. Barry Carter. "Image Simulation." In Transmission Electron Microscopy, 483–98. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-2519-3_29.

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Cordero, P., and D. Risso. "Microscopic computer simulation of fluids." In Fourth Granada Lectures in Computational Physics, 83–134. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0105986.

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Cordero, P., and D. Risso. "Microscopic Computer Simulation of Fluids." In Fourth Granada Lectures in Computational Physics, 83–134. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-14148-9_3.

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Bungartz, Hans-Joachim, Stefan Zimmer, Martin Buchholz, and Dirk Pflüger. "Microscopic Simulation of Road Traffic." In Springer Undergraduate Texts in Mathematics and Technology, 171–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39524-6_8.

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Lämmel, Gregor, Marcel Rieser, and Kai Nagel. "Large Scale Microscopic Evacuation Simulation." In Pedestrian and Evacuation Dynamics 2008, 547–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04504-2_48.

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Treiber, M., A. Hennecke, and D. Helbing. "Microscopic Simulation of Congested Traffic." In Traffic and Granular Flow ’99, 365–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59751-0_36.

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Fullerton, Matthew, Andreas Wenger, Mathias Baur, Florian Schimandl, Jonas Lüßmann, and Silja Hoffmann. "3D Visualization for Microscopic Traffic Data Sources." In Simulation of Urban Mobility, 83–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45079-6_7.

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Conference papers on the topic "Microscopic Simulator"

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Fang, Xuan, Tamas Tettamanti, and Arthur Couto Piazzi. "Online Calibration of Microscopic Road Traffic Simulator." In 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2020. http://dx.doi.org/10.1109/sami48414.2020.9108744.

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Keler, Andreas, Jakob Kaths, Frederic Chucholowski, Maximilian Chucholowski, Georgios Grigoropoulos, Matthias Spangler, Heather Kaths, and Fritz Busch. "A bicycle simulator for experiencing microscopic traffic flow simulation in urban environments." In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8569576.

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Kostikj, Aleksandar, Milan Kjosevski, and Ljupcho Kocarev. "Validation of a microscopic single lane urban traffic simulator." In 2014 International Conference on Connected Vehicles and Expo (ICCVE). IEEE, 2014. http://dx.doi.org/10.1109/iccve.2014.7297671.

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Chen, Can, and Guishan Tan. "Design of Web-based Microscopic Traffic Simulator Using Silverlight Technology." In 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iceeecs-16.2016.55.

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Chang, Hwan, Yun Wang, Jianlong Zhang, and Petros A. Ioannou. "An integrated roadway controller and its evaluation by microscopic simulator VISSIM." In European Control Conference 2007 (ECC). IEEE, 2007. http://dx.doi.org/10.23919/ecc.2007.7069066.

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Fu, Zishan, Jia Yu, and Mohamed Sarwat. "Building a Large-Scale Microscopic Road Network Traffic Simulator in Apache Spark." In 2019 20th IEEE International Conference on Mobile Data Management (MDM). IEEE, 2019. http://dx.doi.org/10.1109/mdm.2019.00-42.

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Keith Yu Kit Leung, Thanh-Son Dao, C. M. Clark, and J. P. Huissoon. "Development of a microscopic traffic simulator for inter-vehicle communication application research." In 2006 IEEE Intelligent Transportation Systems Conference. IEEE, 2006. http://dx.doi.org/10.1109/itsc.2006.1707400.

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Dedes, G., D. Grejner-Brzezinska, D. Guenther, G. Heydinger, K. Mouskos, Byungkyu Park, and C. Toth. "Integrated GNSS/INU, vehicle dynamics, and microscopic traffic flow simulator for automotive safety." In 2011 14th International IEEE Conference on Intelligent Transportation Systems. IEEE, 2011. http://dx.doi.org/10.1109/itsc.2011.6082995.

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Yusuke Takatori and Hiroyuki Yashima. "Microscopic traffic simulator including driver recognition error model for evaluation of driving assistance systems." In 2008 IEEE International Conference on Vehicular Electronics and Safety (ICVES 2008). IEEE, 2008. http://dx.doi.org/10.1109/icves.2008.4640859.

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Ntousakis, Ioannis A., Kallirroi Porfyri, Ioannis K. Nikolos, and Markos Papageorgiou. "Assessing the Impact of a Cooperative Merging System on Highway Traffic Using a Microscopic Flow Simulator." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-39850.

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Abstract:
Vehicle merging on highways has always been an important aspect, which directly affects the capacity of the highway. Under critical traffic conditions, the merging of main road traffic and on-ramp traffic is known to trigger speed breakdown and congestion. Additionally, merging is one of the most stressful tasks for the driver, since it requires a synchronized set of observations and actions. Consequently, drivers often perform merging maneuvers with low efficiency. Emerging vehicle technologies, such as cooperative adaptive cruise control and/or merging-assistance systems, are expected to enable the so-called “cooperative merging”. The purpose of this work is to propose a cooperative merging system and evaluate its performance and its impact on highway capacity. The modeling and simulation of the proposed methodology is performed within the framework of a microscopic traffic simulator. The proposed model allows for the vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication, which enables the effective handling of the available gaps between vehicles. Different cases are examined through simulations, in order to assess the impact of the system on traffic flow, under various traffic conditions. Useful conclusions are derived from the simulation results, which can form the basis for more complex merging algorithms and/or strategies that adapt to traffic conditions.
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Reports on the topic "Microscopic Simulator"

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Liu, Bernice, Alireza Shams, Jonathan Howard, Serena E. Alexander, Alexander Hughes, and Anurag Pande. Assessing Complete Street Strategies Using Microscopic Traffic Simulation Models. Mineta Transportation Institute, June 2020. http://dx.doi.org/10.31979/mti.2020.1712.

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Smith, Doran D. Simulation of Organic Magnetic Resonance Force Microscopy Experiments. Fort Belvoir, VA: Defense Technical Information Center, December 2006. http://dx.doi.org/10.21236/ada459753.

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Moloney, J. V. Semiconductor Amplifiers and Laser Wave Length from Microscopic Physics to Device Simulation. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada419515.

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Crone, Joshua C., Santiago Solares, and Peter W. Chung. Simulated Frequency and Force Modulation Atomic Force Microscopy on Soft Samples. Fort Belvoir, VA: Defense Technical Information Center, June 2007. http://dx.doi.org/10.21236/ada469876.

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Jackson, J. Wolter X-Ray Microscope Computed Tomography Ray-Trace Model with Preliminary Simulation Results. Office of Scientific and Technical Information (OSTI), February 2006. http://dx.doi.org/10.2172/883616.

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Marra, J. C., N. E. Bibler, J. R. Harbour, and M. H. Tosten. Transmission electron microscopy of simulated DWPF high level nuclear waste glasses following gamma irradiation. Office of Scientific and Technical Information (OSTI), April 1994. http://dx.doi.org/10.2172/10142979.

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Janney, D. E. Characterization of host phases for actinides in simulated metallic waste forms by transmission electron microscopy. Office of Scientific and Technical Information (OSTI), November 2005. http://dx.doi.org/10.2172/881580.

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