Driver Behavior on Exit Freeway Ramp Terminals Based on the Naturalistic Driving Study

Alyamani, Mohannad; Hassan, Yasser

doi:10.1061/jtepbs.teeng-7227

Cited by 3 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These findings are generally in agreement with results reported by Torbic et al (2012b), who found that 99% of all observed vehicles on taper-type SCLs exited the freeway on the taper compared to 66% of all observed vehicles on parallel-type SCLs that exited on the taper. Close results were also obtained by Alyamani et al (2023), who found around 51% and 64% of all observed SCL vehicles exited the freeway on the taper depending on the SCL type (parallel or taper) and flow conditions (peak or off-peak).…”

Section: (A) Diverging Location and Speedsupporting

confidence: 59%

“…A possible explanation is related to the general variability of individual drivers' speeds on freeways, which translates to considerable variability of the diverging speeds of individual drivers. It was similarly noticed byAlyamani et al (2023) that the variability in individual drivers' speeds is highest at the diverge point and decreases consistently as the vehicles progress on the SCL and exit ramp.…”

mentioning

confidence: 65%

“…( Portera et al, 2021) Horizontal alignments of freeway mainline terminal have a significant impact on drivers' diverging speeds. (Alyamani et al, 2023) Around 51% and 64% of all observed SCL vehicles exited the freeway on the taper depending on the SCL type (parallel or taper).…”

Section: Referencementioning

confidence: 97%

“…Recently, Alyamani et al (2023) investigated and modelled driver diverging and deceleration behaviour at exit ramps using NDS data. The study found that around 51% and 64% of all observed SCL vehicles exited the freeway on the taper depending on the SCL type (parallel or taper) and flow conditions (peak or off-peak).…”

Section: Driver Behaviour At Freeway Exit Ramp Areasmentioning

confidence: 99%

See 3 more Smart Citations

Examining Driver Behaviour at Freeway Ramp Terminals Based on Trajectory Data Collected Using Unmanned Aerial Vehicles and Video Image Processing

Alamry¹

View full text Add to dashboard Cite

This research utilizes Unmanned Aerial Vehicles (UAVs) to examine real-life speeds and behaviour of drivers at freeway entrance and exit ramp terminals. To achieve this goal, a total of 1,127 minutes of high-resolution aerial video data were collected for traffic movements at thirteen single-lane ramp terminals (seven entrances and six exits) using single and multiple UAVs. A complete space-time trajectory was extracted for each vehicle as it moved on the freeway right lane (FRL) or speed-change lane (SCL) and ramp using a combination of computer vision and deep learning tools. The trajectories were processed to extract relevant driver-vehicle behaviour measures (e.g., merging/diverging location, merging/diverging speed, acceleration/deceleration distances, SCL utilization rates, and accepted merging gaps). A descriptive analysis was performed for better understanding of driver behaviour over the entire stretch of the freeway ramp terminal segment, including FRL, SCL, and ramp. The trends of driver behaviour measures and their relationships with the SCL and ramp geometric characteristics were investigated under free-flow and platoon conditions. Results of the descriptive analysis highlighted differences between taper and parallel SCLs in terms of merging/diverging location, merging/diverging speed, and SCL utilization. Observations of data also confirmed the importance of accounting for the effects of ramp controlling features on the behaviour and vehicle acceleration needs, especially at exit ramps.Several statistical models were developed using regression analysis to model drivers' behaviour measures on SCLs and ramps. Moreover, a set of the observed merging accepted gap data were fitted to the models proposed in the literature to check which models provide the best fit. Results revealed that the models developed using trip data from SHRP-2 Naturalistic Driving Study (NDS) database relatively fitted the data better than other models in the literature. This finding is significant in validating the transferability of models developed using the NDS to other study areas iii in North America. Finally, the research concluded with a demonstration of the practical application of the developed regression models in reliability analysis, considering actual drivers' behaviour and speeds on SCLs and ramps.Professor Yasser Hassan for his advice, support, and guidance during my research and study at Carleton University. His priceless advice guided me at various stages of my academic life. Without his continued assistance, support, and encouragement, this work would not have been possible.Thirdly, I would like to express my sincere gratitude to Milton Carrasco, co-founder and CEO of Transoft Solutions, for his unstinting help and support and for providing access to Transoft Solutions platform to process the UAV videos. I would also like to extend my sincere gratitude to Transoft Solutions team for their help in processing the UAV videos. Finally, I would like to acknowledge the financial support given for this thesis by Taibah...

show abstract

Section: (A) Diverging Location and Speedsupporting

confidence: 59%

mentioning

confidence: 65%

Section: Referencementioning

confidence: 97%

Section: Driver Behaviour At Freeway Exit Ramp Areasmentioning

confidence: 99%

See 2 more Smart Citations

Examining Driver Behaviour at Freeway Ramp Terminals Based on Trajectory Data Collected Using Unmanned Aerial Vehicles and Video Image Processing

Alamry¹

View full text Add to dashboard Cite

show abstract

“…Additionally, the diverging area has the highest accident rate on the freeway, according to studies [2,5]. Properly designed deceleration lanes can ensure an efficient divergence process as well as the safety of vehicle operation [6].…”

Section: Introductionmentioning

confidence: 99%

Calculation Method of Deceleration Lane Length and Slope Based on Reliability Theory

Tian,

Shi,

Shao

et al. 2023

Sustainability

View full text Add to dashboard Cite

The deceleration lane is an important part of the freeway, and the rationality of its design parameters affects the exit accident rate. The traditional calculation method is based on the design of speed and vehicle parameters using deterministic methods, ignoring the randomness of the driver’s deceleration behavior. It is necessary to calculate the length and slope of the deceleration lane in detail according to the deceleration characteristics of the driver in the deceleration section by using the uncertainty method. This paper describes a study on the maximum longitudinal slope of the downhill section of the deceleration lane, where the safety of diverging vehicles is unfavorable. By collecting deceleration lane data from interchanges around Xi’an (Shaanxi Province, China, Coordinates: 108.95, 34.27) and analyzing the deceleration characteristics of vehicles, we propose a new deceleration model. In addition, the limit-state functions of the length and slope of the deceleration lane have been established based on the reliability theory. Finally, according to the deceleration characteristics, we determined the probability distribution of key parameters in the vehicle deceleration process. We used the Monte Carlo Simulation (MCS) and the Improved First-Order Second Moments (IFOSM) calculation model to calculate the length and slope of the deceleration lane, respectively. Finally, we propose the recommended values for the length and slope of the deceleration lane. The results of the study showed that: (1) The movement process of the vehicle on the deceleration section adopts a uniform deceleration, and the truck and the car start to decelerate from the starting of the taper section and diverging point, respectively. (2) The control vehicle in the deceleration lane calculation model is the compact car. (3) The reliability theory has good applicability in calculating freeway alignment indexes. It fully considers the probability of driver deceleration behavior in the calculation model, which provides a more suitable method for the calculation of deceleration lane indexes.

show abstract

Driver Behavior Performance at Freeway Exit Ramp Terminals: Investigation and Modeling

Alamry

Hassan

2023

J. Transp. Eng., Part A: Systems

View full text Add to dashboard Cite

Driver Behavior on Exit Freeway Ramp Terminals Based on the Naturalistic Driving Study

Cited by 3 publications

References 19 publications

Examining Driver Behaviour at Freeway Ramp Terminals Based on Trajectory Data Collected Using Unmanned Aerial Vehicles and Video Image Processing

Examining Driver Behaviour at Freeway Ramp Terminals Based on Trajectory Data Collected Using Unmanned Aerial Vehicles and Video Image Processing

Calculation Method of Deceleration Lane Length and Slope Based on Reliability Theory

Driver Behavior Performance at Freeway Exit Ramp Terminals: Investigation and Modeling

Contact Info

Product

Resources

About