Using VISSIM simulation model and Surrogate Safety Assessment Model for estimating field measured traffic conflicts at freeway merge areas

Fan, Rong; Yu, Hao; Liu, Pan; Wang, Wei

doi:10.1049/iet-its.2011.0232

Cited by 110 publications

(64 citation statements)

References 10 publications

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“…It was found that the two‐stage calibration procedure reduced the mean absolute percent error (MAPE) for rear‐end and lane‐change conflicts. The results showed that there was a reasonable consistency between the simulated and the observed conflicts . Huang et al .…”

Section: Previous Workmentioning

confidence: 63%

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A comparison between PARAMICS and VISSIM in estimating automated field‐measured traffic conflicts at signalized intersections

Essa

Sayed

2016

J of Advced Transportation

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SUMMARYThe main objective of this study is to investigate the relationship between field-measured conflicts and simulated conflicts estimated from microsimulation model (PARAMICS) using the surrogate safety assessment model. An urban signalized intersection was selected for analysis. Automated video-based computer vision techniques were used to identify field conflicts. The applicability of a two-step model calibration procedure applied to VISSIM in a recent study was investigated using PARAMICS. In the first calibration step, the PARAMICS model was calibrated to ensure that the simulation gives reasonable results of average delay times. The second calibration step used a genetic algorithm procedure to calibrate PARAMICS parameters to enhance the correlation between simulated and field-measured conflicts. Finally, the results obtained from PARAMICS were compared with results obtained from VISSIM. The comparison included three aspects: (i) the car-following model and safety-related parameters; (ii) the correlation between simulated and field-measured conflicts; and (iii) the conflict spatial distributions. The results show that the default simulation model parameters give poor correlation with the field-measured data, and therefore, using simulation models without a proper calibration should be avoided. Overall, good correlation between field-measured and simulated conflicts was obtained after calibration for both models, especially at higher timeto-collision (TTC) values. At TTC threshold of 1.5 s, PARAMICS overestimates the number of conflicts and VISSIM underestimates it. Both models overestimated the number of conflicts at TTC threshold of 3.00 s. There were major differences between field-measured and simulated conflicts spatial distributions for both simulation models. This indicates that despite the good correlation obtained from the calibration process, both PARAMICS and VISSIM do not capture the actual conflict occurrence mechanism. Copyright

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Section: Previous Workmentioning

confidence: 63%

“…Fan et al . used VISSIM and SSAM for estimating field‐measured traffic conflicts at freeway merge areas. Field conflicts were collected manually and compared with simulated conflicts.…”

Section: Previous Workmentioning

confidence: 99%

A comparison between PARAMICS and VISSIM in estimating automated field‐measured traffic conflicts at signalized intersections

Essa

Sayed

2016

J of Advced Transportation

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“…Several studies showed that by combining VISSIM and SSAM a reliable tool for traffic safety evaluation can be used, provided that a consistency between the field observed and simulated conflicts is observed [27,28]. Another study proposed a two-step calibration procedure of VISSIM (Wiedemann model) to enhance correlation between simulated and field-measured conflicts [29].…”

Section: Literature Reviewmentioning

confidence: 99%

Microscopic Simulation-Based High Occupancy Vehicle Lane Safety and Operation Assessment: A Case Study

Karimi

Alecsandru

2018

Journal of Advanced Transportation

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This study proposes two general alternative designs to enhance the operation and safety of High Occupancy Vehicle (HOV) lanes at junctions with bus terminals or parking lots. A series of analysis tools, including microscopic simulation, video-based vehicle tracking technique, and Surrogate Safety Assessment Model (SSAM), are applied to model and test the safety and operational efficiency of an HOV road segment near a bus terminal in Québec as a case study. A metaheuristic optimization algorithm (i.e., Whale Optimization Algorithm) is employed to calibrate the microscopic model while deviation from the observed headway distribution is considered as a cost function. The results indicate that this type of HOV configurations exhibits significant safety problems (high number of crossing conflicts) and operational issues (high value of total delay) due to the terminal-bound buses that frequently need to travel across the main road. It is shown that the proposed alternative geometry design efficiently ameliorates the traffic conflicts issues. In addition, the alternative control design scheme significantly reduces the public transit delay. It is expected that this methodology can be applied to other reserved lane configurations similar to the investigated case study.

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“…To do this, it is important to reflect actual vehicle interactions. Previous research found that by incorporating a safety MOP (e.g., conflict counts) for calibration, simulation models appeared to better reflect actual vehicle interactions than calibrating effective MOPs [7][8][9][10][11]. However, such calibration strategy requires additional calibration efforts of safety-related data collection.…”

Section: Introductionmentioning

confidence: 99%

On the Effects of Various Measures of Performance Selections on Simulation Model Calibration Performance

Wang

2018

Journal of Advanced Transportation

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Objective. This paper examines the effects of various measures of performance (MOP) selections on simulation model calibration performance, in terms of reflecting actual traffic conditions and vehicle interactions. Method. Two intersections in Shanghai were selected for simulation model calibration, one for testing and another for validation. Three effective MOPs were utilized, including average travel time (i.e., time passing the intersection), average queue length, and vehicle headway distribution. The counts of three types of traffic conflicts (i.e., crossing, rear-end, and lane change) were used as safety MOPs. Those MOPs, as calibration objectives, were examined and compared. Results. The results of the testing site showed that different effective MOPs had their own advantages: average travel time appeared to be the best in reflecting lane change and rear-end conflicts while headway distribution performed the best consistency between simulated and actual crossing conflicts. Compared to the safety MOPs, average travel time and headway distribution still performed better, in terms of resulting in more similar simulated conflict metrics (e.g., TTC, PET) to actual ones. A multicriteria calibration strategy based on average travel time and headway distribution generally had better performances in reflecting actual traffic conditions and vehicle interactions than using any single effective or safety MOP. Similar results were found for the validation site. Conclusion. To simulate actual traffic conditions and vehicle interactions, multiple effective MOPs could be simultaneously considered for model calibration, instead of using safety MOPs.

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Using VISSIM simulation model and Surrogate Safety Assessment Model for estimating field measured traffic conflicts at freeway merge areas

Cited by 110 publications

References 10 publications

A comparison between PARAMICS and VISSIM in estimating automated field‐measured traffic conflicts at signalized intersections

A comparison between PARAMICS and VISSIM in estimating automated field‐measured traffic conflicts at signalized intersections

Microscopic Simulation-Based High Occupancy Vehicle Lane Safety and Operation Assessment: A Case Study

On the Effects of Various Measures of Performance Selections on Simulation Model Calibration Performance

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