Development and Calibration of a Large-Scale Microscopic Traffic Simulation Model

Jha, Mithilesh Kumar; Gopalan, Ganesh; Garms, Adam; Mahanti, Bhanu P; Toledo, Tomer; Ben‐Akiva, Moshe

doi:10.3141/1876-13

Cited by 50 publications

(21 citation statements)

References 11 publications

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“…VISSUM and VISSIM software are widely used as a research tool. The OD matrix correction module in VISSUM is studied, and proved it a reliable matrix correction tool [12]. The reliability of VISSIM simulation is compared in different circumstances, and the conclusion is that it is a reliable micro simulation tool [13].…”

Section: Simulation Modelmentioning

confidence: 99%

The Control Effect of Traffic Information on Traffic Assignment

Guo¹,

Ren²

2013

Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials, Metallurgy Engineering

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The VISSUM and VISSIM simulation models are setup according to the real road network of Park City, Utah, U.S. The OD matrix is calibrated by the field turning counts. The effects of in-trip real-time information on traffic improvement are studied through microsimulation. Tests have shown that under adaptive traffic control signal, the in-trip real time information has negative feedback effect, and the traffic flows become stable. The information distribution parameters including frequency, delay and proportion of drivers using the information exhibits a window effect. Within the widows, total travel time decreases more than 10%, and total delay decreases more than 20%. The conclusion is that by carefully selecting the distribution parameters of real-time information, the traffic situation of this road network could be improved.

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Section: Simulation Modelmentioning

confidence: 99%

The Control Effect of Traffic Information on Traffic Assignment

Guo¹,

Ren²

2013

Proceedings of the 2012 International Conference on Automobile and Traffic Science, Materials, Metallurgy Engineering

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“…In microscopic traffic simulation, traffic conditions usually undergo a process from unsteady state to steady state and meanwhile, evaluation indexes such as speeds and delays gradually converge to some fixed values [6]. If simulation duration is not long enough, simulated traffic may have not yet reached a steady state and simulation results are meaningless.…”

Section: Simulation Modelingmentioning

confidence: 99%

Analysis of a yield controlled highway intersection using microscopic traffic simulation

Zhang

Lü

Wei

et al. 2008

2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing

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Highway intersections play great important roles in the well-being of the whole highway system. Inappropriate control of highway intersections usually leads to poor performance, which causes traffic accidents and congestions. Although there are many factors affecting intersection performance, traffic volumes and compositions are by far the most important factors. Besides, they are impossible to be controlled and are very variable. Because of these reasons, they have been widely analyzed whenever intersection controls are to be implemented or improved. The paper has analyzed the performance of a yield controlled highway intersection with average delay time, using microscopic traffic simulation. Influences of traffic volume and composition are studied and suggestions have been made concerning when signal control should be applied. At last, models have been setup to predict average delay time when traffic volume or composition changes.

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“…The most popular microscopic traffic simulation programs are CORSIM, INTEGRATION, WATSIM, TRANSIMS, MITSIM, PARAMICS, VISSIM, and AIMSUN (TRB, 2010). There are several contributions in the literature on calibration/validation of simulation models to match field conditions (Dowling et al, 2004;Jha et al, 2004;Ni, 2004;Toledo and Koutsopoulos, 2004).…”

Section: Introductionmentioning

confidence: 99%

Traffic recovery time estimation under different flow regimes in traffic simulation

Jeihani

James

Saka

et al. 2015

Journal of Traffic and Transportation Engineering (English Edit

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Incident delay Traffic safety Non-recurring incident Shockwave analysis Regression analysis a b s t r a c t Incident occurrence and recovery are critical to the smooth and efficient operations of freeways. Although many studies have been performed on incident detection, clearance, and management, travelers and traffic managers are unable to accurately predict the length of time required for full traffic recovery after an incident occurs. This is because there are no practical studies available to estimate post-incident recovery time. This paper estimates post-incident traffic recovery time along an urban freeway using traffic simulation and compares the simulation results with shockwave theory calculations. The simulation model is calibrated and validated using a freeway segment in Baltimore, MD. The model explores different flow regimes (traffic intensity) and incident duration for different incident severity, and their effects on recovery time. A total of 726 simulations are completed using VISSIM software. Finally, the impact of congestion and incident delay on the highway network is quantified by a regression formula to predict traffic recovery time. The developed regression model predicts post-incident traffic recovery time based on traffic intensity, incident duration, and incident severity (ratio of lanes closure). In addition, three regression models are developed for different flow regimes of near-capacity, moderate, and low-traffic intensity. The model is validated by collected field data on two different urban freeways. © 2015 Periodical Offices of Chang'an University. Production and hosting by Elsevier B.V. on behalf of Owner. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).

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Development and Calibration of a Large-Scale Microscopic Traffic Simulation Model

Cited by 50 publications

References 11 publications

The Control Effect of Traffic Information on Traffic Assignment

The Control Effect of Traffic Information on Traffic Assignment

Analysis of a yield controlled highway intersection using microscopic traffic simulation

Traffic recovery time estimation under different flow regimes in traffic simulation

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