Methodology for the measurement and estimation of pedestrian and cycle traffic at level crossings
Urban and suburban level crossings are critical intersection points between rail and pedestrian infrastructure, requiring careful monitoring and analysis of traffic patterns for safety and planning purposes. This paper presents a comprehensive methodology for measuring and estimating pedestrian and...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Estonian Academy Publishers
2025-04-01
|
| Series: | Proceedings of the Estonian Academy of Sciences |
| Subjects: | |
| Online Access: | https://kirj.ee/wp-content/plugins/kirj/pub/proc-2-2025-126-131_20250422105203.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849328850207506432 |
|---|---|
| author | Tanel Jairus Stanislav Metlitski Mihkel Kask Kati Kõrbe |
| author_facet | Tanel Jairus Stanislav Metlitski Mihkel Kask Kati Kõrbe |
| author_sort | Tanel Jairus |
| collection | DOAJ |
| description | Urban and suburban level crossings are critical intersection points between rail and pedestrian infrastructure, requiring careful monitoring and analysis of traffic patterns for safety and planning purposes. This paper presents a comprehensive methodology for measuring and estimating pedestrian and cycle traffic at urban and suburban level crossings. A dual-component system is introduced that considers separately regular crossing users and rail transport passengers, acknowledging their distinct temporal patterns. Three distinct temporal patterns were identified for both pedestrian movement and rail passenger flows through analysis of fixed counter data and passenger statistics, while a singular pattern was determined for cyclists. The methodology was validated at 14 railway crossings, establishing minimum requirements for measurement duration and optimal timing. The results indicate that counting periods of at least 24 hours are required, with optimal accuracy achieved during the spring and autumn months. This approach provides optimal resource usage for achieving adequate accuracy. Data collection and estimation supported by this framework will provide the grounds for evidence-based decision-making in railway crossing infrastructure planning and safety assessment. |
| format | Article |
| id | doaj-art-5a7c7b5cc7074be4b11c5e5c4e05e8a2 |
| institution | Kabale University |
| issn | 1736-6046 1736-7530 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Estonian Academy Publishers |
| record_format | Article |
| series | Proceedings of the Estonian Academy of Sciences |
| spelling | doaj-art-5a7c7b5cc7074be4b11c5e5c4e05e8a22025-08-20T03:47:25ZengEstonian Academy PublishersProceedings of the Estonian Academy of Sciences1736-60461736-75302025-04-01742126131https://doi.org/10.3176/proc.2025.2.07https://doi.org/10.3176/proc.2025.2.07Methodology for the measurement and estimation of pedestrian and cycle traffic at level crossingsTanel Jairus0Stanislav Metlitski1Mihkel Kask2Kati Kõrbe3Department of Mechanical and Industrial Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaAS Teede Tehnokeskus, Väike-Männiku 26, 11216 Tallinn, EstoniaDepartment of Mechanical and Industrial Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaDepartment of Mechanical and Industrial Engineering, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, EstoniaUrban and suburban level crossings are critical intersection points between rail and pedestrian infrastructure, requiring careful monitoring and analysis of traffic patterns for safety and planning purposes. This paper presents a comprehensive methodology for measuring and estimating pedestrian and cycle traffic at urban and suburban level crossings. A dual-component system is introduced that considers separately regular crossing users and rail transport passengers, acknowledging their distinct temporal patterns. Three distinct temporal patterns were identified for both pedestrian movement and rail passenger flows through analysis of fixed counter data and passenger statistics, while a singular pattern was determined for cyclists. The methodology was validated at 14 railway crossings, establishing minimum requirements for measurement duration and optimal timing. The results indicate that counting periods of at least 24 hours are required, with optimal accuracy achieved during the spring and autumn months. This approach provides optimal resource usage for achieving adequate accuracy. Data collection and estimation supported by this framework will provide the grounds for evidence-based decision-making in railway crossing infrastructure planning and safety assessment.https://kirj.ee/wp-content/plugins/kirj/pub/proc-2-2025-126-131_20250422105203.pdflevel crossingmicromobilitytraffic modelingestimation modelspedestrian safety |
| spellingShingle | Tanel Jairus Stanislav Metlitski Mihkel Kask Kati Kõrbe Methodology for the measurement and estimation of pedestrian and cycle traffic at level crossings Proceedings of the Estonian Academy of Sciences level crossing micromobility traffic modeling estimation models pedestrian safety |
| title | Methodology for the measurement and estimation of pedestrian and cycle traffic at level crossings |
| title_full | Methodology for the measurement and estimation of pedestrian and cycle traffic at level crossings |
| title_fullStr | Methodology for the measurement and estimation of pedestrian and cycle traffic at level crossings |
| title_full_unstemmed | Methodology for the measurement and estimation of pedestrian and cycle traffic at level crossings |
| title_short | Methodology for the measurement and estimation of pedestrian and cycle traffic at level crossings |
| title_sort | methodology for the measurement and estimation of pedestrian and cycle traffic at level crossings |
| topic | level crossing micromobility traffic modeling estimation models pedestrian safety |
| url | https://kirj.ee/wp-content/plugins/kirj/pub/proc-2-2025-126-131_20250422105203.pdf |
| work_keys_str_mv | AT taneljairus methodologyforthemeasurementandestimationofpedestrianandcycletrafficatlevelcrossings AT stanislavmetlitski methodologyforthemeasurementandestimationofpedestrianandcycletrafficatlevelcrossings AT mihkelkask methodologyforthemeasurementandestimationofpedestrianandcycletrafficatlevelcrossings AT katikorbe methodologyforthemeasurementandestimationofpedestrianandcycletrafficatlevelcrossings |