Action-points in human driving and in SUMO
When following a vehicle, drivers change their acceleration at so called action-points (AP), and keep it constant in between them. By investigating a large data-set of car-following data, the state- and time-distributions of the APs is analyzed. In the state-space spanned by speed-difference and di...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
TIB Open Publishing
2022-07-01
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| Series: | SUMO Conference Proceedings |
| Subjects: | |
| Online Access: | https://www.tib-op.org/ojs/index.php/scp/article/view/104 |
| _version_ | 1797730865689657344 |
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| author | Peter Wagner Jakob Erdmann Ronald Nippold |
| author_facet | Peter Wagner Jakob Erdmann Ronald Nippold |
| author_sort | Peter Wagner |
| collection | DOAJ |
| description |
When following a vehicle, drivers change their acceleration at so called action-points (AP), and keep it constant in between them. By investigating a large data-set of car-following data, the state- and time-distributions of the APs is analyzed. In the state-space spanned by speed-difference and distance to the lead vehicle, this distribution of APs is mostly proportional to the distribution of all data-points, with small deviations from this. Therefore, the APs are not concentrated around certain thresholds as is claimed by psycho-physical car-following models.Instead, small distances indicate a slightly higher probability of finding an AP than is the case for large distances. A SUMO simulation with SUMO's implementation of the Wiedemann model confirms this view: the AP's of the Wiedemann model follow a completely different distribution than the empirical ones.
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| first_indexed | 2024-03-12T11:50:24Z |
| format | Article |
| id | doaj.art-3a0b9f7ed1264fd492b91ccb52875ea6 |
| institution | Directory Open Access Journal |
| issn | 2750-4425 |
| language | English |
| last_indexed | 2024-03-12T11:50:24Z |
| publishDate | 2022-07-01 |
| publisher | TIB Open Publishing |
| record_format | Article |
| series | SUMO Conference Proceedings |
| spelling | doaj.art-3a0b9f7ed1264fd492b91ccb52875ea62023-08-31T08:32:06ZengTIB Open PublishingSUMO Conference Proceedings2750-44252022-07-01110.52825/scp.v1i.104Action-points in human driving and in SUMOPeter Wagner0Jakob Erdmann1Ronald Nippold2https://orcid.org/0000-0003-4837-8021German Aerospace Center German Aerospace Center German Aerospace Center When following a vehicle, drivers change their acceleration at so called action-points (AP), and keep it constant in between them. By investigating a large data-set of car-following data, the state- and time-distributions of the APs is analyzed. In the state-space spanned by speed-difference and distance to the lead vehicle, this distribution of APs is mostly proportional to the distribution of all data-points, with small deviations from this. Therefore, the APs are not concentrated around certain thresholds as is claimed by psycho-physical car-following models.Instead, small distances indicate a slightly higher probability of finding an AP than is the case for large distances. A SUMO simulation with SUMO's implementation of the Wiedemann model confirms this view: the AP's of the Wiedemann model follow a completely different distribution than the empirical ones. https://www.tib-op.org/ojs/index.php/scp/article/view/104Car-followingAction-pointsDriver modelling |
| spellingShingle | Peter Wagner Jakob Erdmann Ronald Nippold Action-points in human driving and in SUMO SUMO Conference Proceedings Car-following Action-points Driver modelling |
| title | Action-points in human driving and in SUMO |
| title_full | Action-points in human driving and in SUMO |
| title_fullStr | Action-points in human driving and in SUMO |
| title_full_unstemmed | Action-points in human driving and in SUMO |
| title_short | Action-points in human driving and in SUMO |
| title_sort | action points in human driving and in sumo |
| topic | Car-following Action-points Driver modelling |
| url | https://www.tib-op.org/ojs/index.php/scp/article/view/104 |
| work_keys_str_mv | AT peterwagner actionpointsinhumandrivingandinsumo AT jakoberdmann actionpointsinhumandrivingandinsumo AT ronaldnippold actionpointsinhumandrivingandinsumo |