A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Sequence Calculation and Automatic Discrimination of Vehicle Merging Conflicts in Freeway Merging Areas
The freeway is a continuous flow facility that improves the accessibility and operational efficiency of the road network. However; freeway merging areas are accident-prone areas. In order to investigate the reasons for the high occurrence of accidents in merging areas, this paper considers the dynamic nature of traffic conflicts, constructs a sequence model of merging conflicts with Time Difference to Collision (TDTC) as the index, and implements automatic identification of merging conflicts based on the LightGBM algorithm. A UAV was used to collect vehicle trajectory data at the Guanghe Freeway in Guangzhou to verify the accuracy of automatic identification, with an accuracy rate of 91%. The results show that the most important feature of severe conflicts is the choice of the merging position. In addition, the most important feature of general conflicts is the standard deviation of speed before merging. Lastly, the most important feature of minor conflicts is the longitudinal speed difference between the ramp and mainline vehicles.
Sequence Calculation and Automatic Discrimination of Vehicle Merging Conflicts in Freeway Merging Areas
The freeway is a continuous flow facility that improves the accessibility and operational efficiency of the road network. However; freeway merging areas are accident-prone areas. In order to investigate the reasons for the high occurrence of accidents in merging areas, this paper considers the dynamic nature of traffic conflicts, constructs a sequence model of merging conflicts with Time Difference to Collision (TDTC) as the index, and implements automatic identification of merging conflicts based on the LightGBM algorithm. A UAV was used to collect vehicle trajectory data at the Guanghe Freeway in Guangzhou to verify the accuracy of automatic identification, with an accuracy rate of 91%. The results show that the most important feature of severe conflicts is the choice of the merging position. In addition, the most important feature of general conflicts is the standard deviation of speed before merging. Lastly, the most important feature of minor conflicts is the longitudinal speed difference between the ramp and mainline vehicles.
Sequence Calculation and Automatic Discrimination of Vehicle Merging Conflicts in Freeway Merging Areas
Jinsong Hu (author) / Huapeng Wang (author) / Wei Wang (author) / Weiwei Qi (author)
2022
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Modeling Driver Behavior and Safety on Freeway Merging Areas
| Online Contents | 2008
Driver Behavior at Freeway-Ramp Merging Areas: Focus Group Findings
| British Library Online Contents | 2009
Real-Time Merging Traffic Control at Congested Freeway Off-Ramp Areas
| British Library Online Contents | 2016
Empirical Analysis of Merging Behavior at Freeway On-Ramp
| British Library Online Contents | 2010
Design of a Freeway Entrance Ramp Merging Control System
| NTIS | 1971