Comparisons of mandatory and discretionary lane changing behavior on freeways

Vechione, Matthew; Balal, Esmaeil; Cheu, Ruey Long

doi:10.1016/j.ijtst.2018.02.002

Cited by 53 publications

(24 citation statements)

References 11 publications

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“…Talebpour et al constructed a lane-changing simulation framework, which was verified by NGSIM data to have higher accuracy than the basic gap acceptance model [22]. By using NGSIM data, Woo et al and Vechione et al evaluated the performance of a dynamic potential energy model on lane-changing behavior prediction and the effects of decision variables on discretionary lane-changing as well as mandatory lanechanging, respectively [23,24].…”

Section: Lane-changing Behaviormentioning

confidence: 99%

Research on Decision-Making Behavior of Discretionary Lane-Changing Based on Cumulative Prospect Theory

Long

Zhang

Liu

et al. 2020

Journal of Advanced Transportation

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In this paper, the decision-making model of discretionary lane-changing is established using cumulative prospect theory (CPT). Through analyzing the vehicles’ dynamic running states, safety spacing calculating approaches for discretionary lane-changing and lane-keeping have been put forward firstly. Then, based on CPT, a lane-changing decision model with accelerating space as its utility is proposed by estimating the difference between actual spacings and the safety spacings for discretionary lane-changing as well as lane-keeping. In order to calculate the utility of discretionary lane-changing, dynamic reference points and a parameter representing driver’s risk preference are introduced into the model. With the real data collected from an urban expressway, the distribution of discretionary lane-changing duration is analyzed, and the model parameters are also calibrated. Furthermore, the applicability of the model is evaluated by comparing with the actual observation and random unity model. Finally, the sensitivity analysis of the model is carried out, that is, assessing the influence degree of each variable on the decision result. The study reveals that the CPT-based model can describe discretionary lane-changing behavior more accurately, which consider drivers’ risk-aversion during decision-making.

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Section: Lane-changing Behaviormentioning

confidence: 99%

Research on Decision-Making Behavior of Discretionary Lane-Changing Based on Cumulative Prospect Theory

Long

Zhang

Liu

et al. 2020

Journal of Advanced Transportation

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“…Hu and Sun [78] proposed an algorithm for multilane freeway merging by optimizing lane change and car-following trajectories in the connected environment. Vechione et al [79] compared a mandatory and discretionary lane-change behaviour on freeways using NGSIM database and model in AIMSUN microscopic software. The results suggested that the authors should develop MLC and DLC separately when modelling the lane-change behaviour.…”

Section: Models Based On Search Algorithmmentioning

confidence: 99%

“…Input parameters (speed, acceleration/ deceleration) must be set to model driver behaviour. Game theory Kita (1999) [70] The drivers maximize their respective payoffs to achieve better outcomes under specific strategies of opponents Hu and Sun (2019) [77] Vechione et al (2018) [79] angle between the pedestrian's desired path and the selected path; and β the angle between the desired path and the area occupied by the pedestrian. The sum of the forces from journey destinations, obstacles and other pedestrians affects the observed pedestrians in the network and determines their speed of movement over a period of time.…”

Section: Psychophysicalmentioning

confidence: 99%

Modelling of Driver and Pedestrian Behaviour – A Historical Review

Babojelić

Novačko

2020

PROMET

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Driver and pedestrian behaviour significantly affect the safety and the flow of traffic at the microscopic and macroscopic levels. The driver behaviour models describe the driver decisions made in different traffic flow conditions. Modelling the pedestrian behaviour plays an essential role in the analysis of pedestrian flows in the areas such as public transit terminals, pedestrian zones, evacuations, etc. Driver behaviour models, integrated into simulation tools, can be divided into car-following models and lane-changing models. The simulation tools are used to replicate traffic flows and infer certain regularities. Particular model parameters must be appropriately calibrated to approximate the realistic traffic flow conditions. This paper describes the existing car-following models, lane-changing models, and pedestrian behaviour models. Further, it underlines the importance of calibrating the parameters of microsimulation models to replicate realistic traffic flow conditions and sets the guidelines for future research related to the development of new models and the improvement of the existing ones.

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“… A is the driving strategy set of the vehicle and U is the corresponding set of payment functions. 13 For SV with lane-change intentions, the strategy set has two possibilities—CL and not changing lane (NCL)—which can be expressed as A SV = { CL , NCL } . 15 For VRT, the most affected one, the coping strategies are divided into four types: keeping the original lane and car-following behavior (Kee), decelerating (Dec), accelerating (Acc), and CL.…”

Section: Lane-change Decision Modelmentioning

confidence: 99%

“…A forced lane change usually occurs when the subject driver is trying to move his or her vehicle from its existing lane into the target lane in anticipation of the next left or right turn, or lane closure immediately downstream. 13 On the highway, the slow traffic participants in front are usually also vehicles. An example is the typical two-lane, five-vehicle scene shown in Figure 1 The SV is blocked by the VFS, and the SV is changed from Lane 2 to Lane 1 to increase its own speed.…”

Section: Lane-change Decision Modelmentioning

confidence: 99%

A novel evaluation method for vehicle and traffic performance of different decision control of automatic lane change based on miniature model

Wang

Chen

Jiang

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Research on automatic lane-change decision is mainly limited to simulation validation and lacks real vehicle validation methods because it is limited by experimental site and automatic driving technology on real vehicles. This paper puts forward a miniature traffic model to simulate the actual traffic scene and achieves to verify the decision control of automatic lane-change scene. The miniature intelligent traffic scene contains miniature vehicles, simplified miniature road traffic environment, and wireless network communication. After testing the basic functions of the miniature traffic scene model, such as automatic lane change, lane keeping, and automatic following, a semi-physical simulation test of the traffic flow composed of the model vehicle and the virtual vehicle is carried out. The semi-physical simulation test includes vehicle-following test of hybrid-condition intelligent driver model, lane-change test of lane-change decision two-vehicle gaming model, and minimizing overall braking induced by lane changes. The results show that the feasibility of the method and of the lane-change decision two-vehicle gaming model of automatic lane change is better in terms of traffic safety, traffic efficiency, and homogeneity. Compared to the minimizing overall braking induced by lane-change model test, the test of lane-change decision two-vehicle gaming model improves 2.26% and 1.5% in the average speed and total driving distance, respectively. The standard deviation of the traffic speed of the lane-change decision two-vehicle gaming model was 28.57% lower than the minimizing overall braking induced by lane changes. Compared to pure simulation verification, the method considers the effects of actual sensor signals and actuator control, which is closer to the actual application.

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Comparisons of mandatory and discretionary lane changing behavior on freeways

Cited by 53 publications

References 11 publications

Research on Decision-Making Behavior of Discretionary Lane-Changing Based on Cumulative Prospect Theory

Research on Decision-Making Behavior of Discretionary Lane-Changing Based on Cumulative Prospect Theory

Modelling of Driver and Pedestrian Behaviour – A Historical Review

A novel evaluation method for vehicle and traffic performance of different decision control of automatic lane change based on miniature model

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