Calibrating Vissim to Analyze Delay at Signalized Intersections

2017 ◽  
Vol 2615 (1) ◽  
pp. 73-81 ◽  
Author(s):  
H. Sebastian Buck ◽  
Nicolai Mallig ◽  
Peter Vortisch
Keyword(s):  
Traffic Simulation ◽  
Signalized Intersections ◽  
Level Of Service ◽  
Microscopic Traffic Simulation ◽  
Car Following ◽  
Control Delay

The level of service of an intersection is determined principally by control delay. Accordingly, control delay must be reproduced correctly when microscopic traffic simulation is used to evaluate intersections. This study demonstrated how Vissim could be calibrated for that purpose. Vissim models of four signalized intersections for which data had been collected were built. From these data, information that was extracted on headways, time to pass the intersection, and arrival distribution was used for calibration. Calibration of the headways resulted in car-following parameters for these intersections that differed substantially from the Vissim default values. An adjustment in the vehicle arrival distribution to the observed distribution was also necessary to reproduce the measured delay in the simulation.

scholarly journals Operational Performance and Safety Assessment of Signalized Roundabouts

2020 ◽  
Author(s):  
Jameel Hannun ◽  
Jamal Hannun ◽  
Khaled Shamiyeh ◽  
Mohammad Ghanim ◽  
Mohamed Kharbeche
Keyword(s):  
Safety Assessment ◽  
Traffic Simulation ◽  
Field Measurements ◽  
Assessment Method ◽  
Signalized Intersections ◽  
Operational Performance ◽  
Signal Timing ◽  
Microscopic Traffic Simulation ◽  
Crash Data ◽  
Traffic Operation

Roundabouts are widely used to reduce the severity of conflicts at intersecting roads. While they tend to provide an acceptable level of traffic operation, their operational benefits are reduced when traffic demands increase. One possible and economic mitigation is to convert the roundabouts into signalized ones to accommodate the demand increase and to further reduce the conflicts. This conversion will allow the roundabouts to perform both functions (safety and operational) within acceptable levels. Accordingly, proper signal timing parameters are often required to achieve the anticipated safety and operational levels. Unlike the operational performance of signalized intersections that can be easily assessed based on field measurements, safety assessment is far more difficult due to the need of historical crash data, which would potentially take years. This study presents the use of traffic simulation to assess the operational performance as well as the safety performance of signalized intersections. At first, a well-calibrated model of a signalized roundabout located in the city of Doha is built in microscopic traffic simulation environment based on field measurements and observations. Secondly, Surrogate Safety Assessment Method (SSAM) is used to analyze the simulated vehicular trajectories to identify the type and severity of conflicts. The results revealed that the implemented signal timing parameters have a significant impact on the safety functionality of the signalized roundabouts.

Assessment of Level of Service on Freeways by Microscopic Traffic Simulation

2014 ◽  
Vol 2461 (1) ◽  
pp. 41-49 ◽  
Author(s):  
Justin Geistefeldt ◽  
Stefan Giuliani ◽  
Peter Vortisch ◽  
Ulrike Leyn ◽  
Roland Trapp ◽  
...  
Keyword(s):  
Traffic Simulation ◽  
Level Of Service ◽  
Microscopic Traffic Simulation

scholarly journals Car Following and Microscopic Traffic Simulation Under Distracted Driving

2021 ◽  
pp. 036119812110003
Author(s):  
Sunbola Zatmeh-Kanj ◽  
Tomer Toledo
Keyword(s):  
Traffic Flow ◽  
Coefficient Of Variation ◽  
Driving Simulator ◽  
Traffic Simulation ◽  
Driving Behavior ◽  
Transportation Systems ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Car Following ◽  
The Impact

Microscopic simulation models have been widely used as tools to investigate the operation of traffic systems and different intelligent transportation systems applications. The fidelity of microscopic simulation tools depends on the driving behavior models that they implement. However, current models commonly do not consider human-related factors, such as distraction. The potential for distraction while driving has increased rapidly with the availability of smartphones and other connected and infotainment devices. Thus, an understanding of the impact of distraction on driving behavior is essential to improve the realism of microscopic traffic tools and support safety and other applications that are sensitive to it. This study focuses on car-following behavior in the context of distracting activities. The parameters of the well-known GM and intelligent driver models are estimated under various distraction scenarios using data collected with an experiment conducted in a driving simulator. The estimation results show that drivers are less sensitive to their leaders while talking on the phone and especially while texting. The estimated models are implemented in a microscopic traffic simulation model. The average speed, coefficient of variation of speed, acceleration noise and acceleration and deceleration time fractions were used as measures of performance indicating traffic flow and safety implications. The simulation results show deterioration of traffic flow with texting and to some extent talking on the phone: average speeds are lower and the coefficient of variation of speeds are higher. Further experimentation with varying fractions of texting drivers showed similar trends.

scholarly journals An Extended Car-Following Model in Connected and Autonomous Vehicle Environment: Perspective from the Cooperation between Drivers

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Shenzhen Ding ◽  
Xumei Chen ◽  
Zexin Fu ◽  
Fei Peng
Keyword(s):  
Traffic Simulation ◽  
Autonomous Vehicle ◽  
Significant Heterogeneity ◽  
Mixed Traffic ◽  
Trajectory Data ◽  
Data Set ◽  
Microscopic Traffic Simulation ◽  
Car Following ◽  
Proposed Model ◽  
Car Following Model

The development of connected and autonomous vehicle (CAV) technology has received increasing attention in recent years. Although car-following behavior in mixed traffic with CAVs and human-driven vehicles (HDVs) is a core component of microscopic traffic simulation, intelligent traffic systems, etc., the current study of car-following behavior in mixed traffic has some limitations. Furthermore, actual data do not support its applicability to the Chinese traffic environment. To address this gap, this paper designs and organizes a car-following experiment in mixed traffic in Beijing, extracts the trajectory data of CAVs and HDVs based on video recognition, and reconstructs the extracted trajectory data using the Lagrangian theory and Kalman filter theory to ensure the accuracy of the data. Based on this data set, this paper develops an extended car-following model. The model considers the cooperation between drivers by reformulating the prospect theory (PT). The root mean square percentage error (RMSPE) is selected to calibrate and validate the parameters of the proposed model, and the results show that there is significant heterogeneity between CAVs and HDVs in mixed traffic, and the proposed model captures this heterogeneity well. The model presented in this paper provides theoretical support for microscopic traffic simulation in mixed traffic.

Analysis of Non-Conventional Roundabouts Performances through Microscopic Traffic Simulation

2014 ◽  
Vol 505-506 ◽  
pp. 481-488 ◽  
Author(s):  
Vittorio Astarita ◽  
Giuseppe Guido ◽  
Alessandro Vitale ◽  
Vincenzo Gallelli
Keyword(s):  
Case Studies ◽  
Traffic Simulation ◽  
Real Case ◽  
Level Of Service ◽  
Geometric Features ◽  
Microsimulation Model ◽  
Microscopic Traffic Simulation ◽  
Traffic Conditions ◽  
Flow Parameters ◽  
Geometry Configuration

This research is focused on the applicability, in particular contexts, of roundabouts characterized by a non conventional geometry configuration. The methodology is based on the microsimulation approach, validated through a series of surveys on real case studies and traffic conditions. A microsimulation model (VISSIM, PTV), was applied in order to reproduce roundabouts geometry and to define vehicle flow parameters. The research results allow to evaluate roundabouts level of service as a function of geometric features and to establish the limits connected to the employment of noncircular roundabouts in different traffic scenarios.

Modeling of Delay Induced by Downstream Traffic Disturbances at Signalized Intersections

2005 ◽  
Vol 1920 (1) ◽  
pp. 106-117 ◽  
Author(s):  
Kamran Ahmed ◽  
Ghassan Abu-Lebdeh
Keyword(s):  
Close Agreement ◽  
Signalized Intersections ◽  
Level Of Service ◽  
Signal System ◽  
Control Parameters ◽  
Flow Properties ◽  
Microscopic Simulation ◽  
Microscopic Traffic Simulation ◽  
Macroscopic Models ◽  
And Control

Macroscopic models that can be used to estimate the delay at signalized intersections caused by downstream traffic disturbances, such as queues in closely spaced settings, are presented. The models use basic traffic flow properties and control parameters at neighboring intersections. The models are applied to a hypothetical two-signal system. The results show that the delay caused by downstream disturbances can be significant and therefore must be included in level-of-service and capacity analyses. The results also show that control parameters, such as offsets and green splits at upstream and downstream approaches, play key roles in reducing delay. Validation by the use of microscopic traffic simulation shows close agreement between the delay estimates from the proposed models and that from the microscopic simulation model.

scholarly journals Introducing Road Surface Conditions into a Microscopic Traffic Simulation

10.29007/cqps ◽  
2019 ◽  
Author(s):  
Thomas Weber ◽  
Patrick Driesch ◽  
Dieter Schramm
Keyword(s):  
Traffic Simulation ◽  
Surface Condition ◽  
Road Surface ◽  
Automated Driving ◽  
Microscopic Traffic Simulation ◽  
Surface Conditions ◽  
Main Research ◽  
Car Following ◽  
The Road ◽  
Car Following Model

The introduction of highly automated driving functions is one of the main research and development efforts in the automotive industry worldwide. In the early stages of the development process, suppliers and manufacturers often wonder whether and to what extend the potential of the systems under development can be estimated in a cheap and timely manner. In the context of a current research project, a sensor system for the detection of the road surface condition is to be developed and it is to be investigated how such a system can be used to improve higher level driving functions. This paper presents how road surface conditions are introduced in various elements of the microscopic traffic simulation such as the actual network, the network editor, a device for detection, and an adaptation of the standard Krauß car following model. It is also shown how the adaptations can subsequently affect traffic scenarios. Furthermore, a summary is given how this preliminary work integrates into the larger scope of using SUMO as a tool in the process of analyzing the effectiveness of a road surface condition sensor.

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