Lane-based car-following behaviour based on inductive loops

Khansari, Ehsan Ramezani; Tabibi, Masoud; Nejad, Fereidoon Moghadas

doi:10.1680/jtran.15.00110

Cited by 7 publications

(9 citation statements)

References 17 publications

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“…It could be said that in this case, free driving occurs. According to a previous study by the authors [23] and also, according to the headway and lateral distance diagrams in this paper, it can be found that most drivers began to adopt a lateral distance in distance less than 2 sec. Hence, most probably, this value can be called as the threshold for the following behavior.…”

Section: Discussionsupporting

confidence: 58%

“…The prevalence of rear-end collision in Iranian roads indicates the fact that Iranian drivers often do not adhere to appropriate and recommended headway, and use less than 2 seconds for car-following. On the other hand, in a study conducted by Khansari et al in 2016 in Iran, they showed that about 85% and 70% of Iranian drivers accept time headway less than 3 seconds in congested and uncongested conditions [23]. At least the data included 3 sec time headway for all speeds, as shown in Table 1, which makes sure almost all following cars were recordable.…”

Section: Figure 1 Area Covered By the Traffic Camera And Location Ofmentioning

confidence: 88%

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Studying Non-coaxiality in Non-lane-based Car-following Behavior

2018

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In this paper, in order to study non-lane-based car-following, the non-coaxiality concept is defined, where there is a significant lateral difference between the leader and follower vehicle. Two main reasons for non-coaxiality were addressed by drivers in the interview: providing more visible distances beyond leader vehicle and increasing the possibility of escaping in sudden brakes to avoid rear-end collision. Results showed that non-lane-based behavior was due to the effect of the existence of other cars in the traffic flow. By reducing speed or increasing density, vehicles more affect each other. But this trend will continue up until vehicles fill the free spaces. In other words, vehicles make others stick to the leader’s path in high-density flow. Studying the relationship between lateral distance and time headway demonstrated that time headway threshold for initiation of car-following behavior in Iranian drivers can be approximately 2 seconds. In this study, Overtaking was defined as a part or continuation of the non-lane-based driving behavior. For overtaking on the left, steering angle, the final lateral distance and the lateral speed difference between the follower and leader were 33%, 28% and 15% less than overtaking on the right.

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Section: Discussionsupporting

confidence: 58%

Section: Figure 1 Area Covered By the Traffic Camera And Location Ofmentioning

confidence: 88%

Studying Non-coaxiality in Non-lane-based Car-following Behavior

2018

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“…us, investigating CF can help to prevent and predict rear-end collision and also can enhance traffic safety. Several researches have confirmed that both the CF model and its estimated parameters can vary for different drivers and situations [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 98%

Comparing the Effect of Age, Gender, and Desired Speed on Car-Following Behavior by Using Driving Simulator

Khansari

Tabibi

Nejad

et al. 2021

Journal of Advanced Transportation

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In this study, the effect of age, gender, and desired speed (DS) factors on General Motors car-following (CF) behavior was investigated. DS was defined as the speed selected by the driver in free driving situation. A low-level driving simulator was used to collect data. The CF model for each driver was calibrated by genetic algorithm. Gender and DS were effective in CF behavior, while the age factor was not. The drivers’ sensitivity to the variables of speed and distance in the CF model increased with increasing the DS. The gender factor affected only the magnitude of deceleration which was higher in women. For further investigation, the effect of the desired speed on the time headway in the steady-state CF was also examined. DS factor was effective in steady-state CF behavior. As the DS increased, the time headway decreased. Examining CF threshold demonstrated that women maintained larger distance than men. Finally, it can be said that DS and gender would be more important than age to be considered in CF models.

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“…Khansari et al investigated the car-following behavior in different lanes of a freeway in Iran. e results showed that closer lanes to the median have higher speed and lower headway, and the capacity difference between inner and outer lanes is from about 7% up to 24% [12]. An analysis of real data on a three-lane freeway was carried out by Duret et al and showed that the fraction of the total flow in the median lane increases linearly, whereas the opposite trend is observed for the center lane and particularly for the shoulder lane [13].…”

Section: Introductionmentioning

confidence: 99%

Traffic Status Dynamic Evaluation of an Eight-Lane Highway Based on the Lane Level

Shen

Guo

Zhang

et al. 2020

Mathematical Problems in Engineering

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Traffic status analysis is the basis for highway management and control. Most of the previous research studies were carried out from the perspective of road segments. The purpose of this paper is to analyze the difference in traffic operation characteristics of an eight-lane highway from the perspective of lanes. Lane saturation, average lane speed, and lane density were selected as traffic state evaluation indicators, and the concept of state space division was introduced to classify the traffic operation status of each lane. Then, a single-system multi-index dynamic comprehensive evaluation method was adopted to reflect the time-varying characteristics and the development trend of the operation status of each lane. The research results can provide the theoretical support for more refined highway management and improve the service level of the eight-lane highway.

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Lane-based car-following behaviour based on inductive loops

Cited by 7 publications

References 17 publications

Studying Non-coaxiality in Non-lane-based Car-following Behavior

Studying Non-coaxiality in Non-lane-based Car-following Behavior

Comparing the Effect of Age, Gender, and Desired Speed on Car-Following Behavior by Using Driving Simulator

Traffic Status Dynamic Evaluation of an Eight-Lane Highway Based on the Lane Level

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