Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation
The paper presents a microsimulation-based approach for roundabout safety performance evaluation. Based on a sample of Slovenian roundabouts, the vehicle trajectories exported from AIMSUN and VISSIM were used to estimate traffic conflicts using the Surrogate Safety Assessment Model (SSAM). AIMSUN an...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2018/4915970 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832557116310683648 |
|---|---|
| author | Orazio Giuffrè Anna Granà Maria Luisa Tumminello Tullio Giuffrè Salvatore Trubia Antonino Sferlazza Marko Rencelj |
| author_facet | Orazio Giuffrè Anna Granà Maria Luisa Tumminello Tullio Giuffrè Salvatore Trubia Antonino Sferlazza Marko Rencelj |
| author_sort | Orazio Giuffrè |
| collection | DOAJ |
| description | The paper presents a microsimulation-based approach for roundabout safety performance evaluation. Based on a sample of Slovenian roundabouts, the vehicle trajectories exported from AIMSUN and VISSIM were used to estimate traffic conflicts using the Surrogate Safety Assessment Model (SSAM). AIMSUN and VISSIM were calibrated for single-lane, double-lane and turbo roundabouts using the corresponding empirical capacity function which included critical and follow-up headways estimated through meta-analysis. Based on calibration of the microsimulation models, a crash prediction model from simulated peak hour conflicts for a sample of Slovenian roundabouts was developed. A generalized linear model framework was used to estimate the prediction model based on field collected crash data for 26 existing roundabouts across the country. Peak hour traffic distribution was simulated with AIMSUN, and peak hour conflicts were then estimated with the SSAM applying the filters identified by calibrating AIMSUN and VISSIM. The crash prediction model was based on the assumption that the crashes per year are a function of peak hour conflicts, the ratio of peak hour traffic volume to average daily traffic volume and the roundabout outer diameter. Goodness-of-fit criteria highlighted how well the model fitted the set of observations also better than the SSAM predictive model. The results highlighted that the safety assessment of any road unit may rely on surrogate safety measures, but it strongly depends on microscopic traffic simulation model used. |
| format | Article |
| id | doaj-art-95361dfec18c45c88438d7a801e3786d |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-95361dfec18c45c88438d7a801e3786d2025-02-03T05:43:32ZengWileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/49159704915970Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from MicrosimulationOrazio Giuffrè0Anna Granà1Maria Luisa Tumminello2Tullio Giuffrè3Salvatore Trubia4Antonino Sferlazza5Marko Rencelj6Department of Civil, Environmental, Aerospace, and Material Engineering, University of Palermo, Viale delle Scienze, Ed 8, 90128 Palermo, ItalyDepartment of Civil, Environmental, Aerospace, and Material Engineering, University of Palermo, Viale delle Scienze, Ed 8, 90128 Palermo, ItalyDepartment of Civil, Environmental, Aerospace, and Material Engineering, University of Palermo, Viale delle Scienze, Ed 8, 90128 Palermo, ItalyKore University, Cittadella Universitaria, 94100 Enna, ItalyKore University, Cittadella Universitaria, 94100 Enna, ItalyDepartment of Energy, Information Engineering and Mathematical Models, University of Palermo, Viale delle Scienze, Ed 8, 90128 Palermo, ItalyUniversity of Maribor, Faculty of Civil Engineering, Transportation Engineering and Architecture, SloveniaThe paper presents a microsimulation-based approach for roundabout safety performance evaluation. Based on a sample of Slovenian roundabouts, the vehicle trajectories exported from AIMSUN and VISSIM were used to estimate traffic conflicts using the Surrogate Safety Assessment Model (SSAM). AIMSUN and VISSIM were calibrated for single-lane, double-lane and turbo roundabouts using the corresponding empirical capacity function which included critical and follow-up headways estimated through meta-analysis. Based on calibration of the microsimulation models, a crash prediction model from simulated peak hour conflicts for a sample of Slovenian roundabouts was developed. A generalized linear model framework was used to estimate the prediction model based on field collected crash data for 26 existing roundabouts across the country. Peak hour traffic distribution was simulated with AIMSUN, and peak hour conflicts were then estimated with the SSAM applying the filters identified by calibrating AIMSUN and VISSIM. The crash prediction model was based on the assumption that the crashes per year are a function of peak hour conflicts, the ratio of peak hour traffic volume to average daily traffic volume and the roundabout outer diameter. Goodness-of-fit criteria highlighted how well the model fitted the set of observations also better than the SSAM predictive model. The results highlighted that the safety assessment of any road unit may rely on surrogate safety measures, but it strongly depends on microscopic traffic simulation model used.http://dx.doi.org/10.1155/2018/4915970 |
| spellingShingle | Orazio Giuffrè Anna Granà Maria Luisa Tumminello Tullio Giuffrè Salvatore Trubia Antonino Sferlazza Marko Rencelj Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation Journal of Advanced Transportation |
| title | Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation |
| title_full | Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation |
| title_fullStr | Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation |
| title_full_unstemmed | Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation |
| title_short | Evaluation of Roundabout Safety Performance through Surrogate Safety Measures from Microsimulation |
| title_sort | evaluation of roundabout safety performance through surrogate safety measures from microsimulation |
| url | http://dx.doi.org/10.1155/2018/4915970 |
| work_keys_str_mv | AT oraziogiuffre evaluationofroundaboutsafetyperformancethroughsurrogatesafetymeasuresfrommicrosimulation AT annagrana evaluationofroundaboutsafetyperformancethroughsurrogatesafetymeasuresfrommicrosimulation AT marialuisatumminello evaluationofroundaboutsafetyperformancethroughsurrogatesafetymeasuresfrommicrosimulation AT tulliogiuffre evaluationofroundaboutsafetyperformancethroughsurrogatesafetymeasuresfrommicrosimulation AT salvatoretrubia evaluationofroundaboutsafetyperformancethroughsurrogatesafetymeasuresfrommicrosimulation AT antoninosferlazza evaluationofroundaboutsafetyperformancethroughsurrogatesafetymeasuresfrommicrosimulation AT markorencelj evaluationofroundaboutsafetyperformancethroughsurrogatesafetymeasuresfrommicrosimulation |