A Real-Time Safety-Based Optimal Velocity Model
| dc.contributor.author | Abdelhalim, Awad | en |
| dc.contributor.author | Abbas, Montasir M. | en |
| dc.date.accessioned | 2022-08-23T13:48:39Z | en |
| dc.date.available | 2022-08-23T13:48:39Z | en |
| dc.date.issued | 2022-01-31 | en |
| dc.description.abstract | Modeling safety-critical driver behavior at signalized intersections needs to account for the driver's planned decision process, where a driver executes a plan to avoid collision in multiple time steps. Such a process can be embedded in the Optimal Velocity Model (OVM) that traditionally assumes that drivers base their "mental intention" on a distance gap only. We propose and evaluate a data-driven OVM based on real-time inference of roadside traffic video data. First, we extract vehicle trajectory data from roadside traffic footage through our advanced video processing algorithm (VT-Lane) for a study site in Blacksburg, VA, USA. Vehicles engaged in car-following episodes are then identified within the extracted vehicle trajectories database, and the real-time time-to-collision (TTC) is calculated for all car-following instances. Then, we analyze the driver behavior to predict the shape of the underlying TTC-based desired velocity function. A clustering approach is used to assess car-following behavior heterogeneity and understand the reasons behind outlying driving behaviors at the intersection to design our model accordingly. The results of this assessment show that the calibrated TTC-based OVM can replicate the observed driving behavior by capturing the acceleration pattern with an error 20% lower than the gap distance-based OVM. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | https://doi.org/10.1109/OJITS.2022.3147744 | en |
| dc.identifier.eissn | 2687-7813 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/111598 | en |
| dc.identifier.volume | 3 | en |
| dc.language.iso | en | en |
| dc.publisher | IEEE | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Vehicles | en |
| dc.subject | Data models | en |
| dc.subject | Trajectory | en |
| dc.subject | Safety | en |
| dc.subject | Real-time systems | en |
| dc.subject | Intelligent transportation systems | en |
| dc.subject | Mathematical models | en |
| dc.subject | Driver behavior calibration | en |
| dc.subject | intersection safety | en |
| dc.subject | optimal velocity model | en |
| dc.subject | vehicle trajectory tracking | en |
| dc.title | A Real-Time Safety-Based Optimal Velocity Model | en |
| dc.title.serial | IEEE Open Journal of Intelligent Transportation Systems | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |
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