Modeling bounded rationality in discretionary lane change with the quantal response equilibrium of game theory

Wang, Bingtong; Li, Zhibin; Wang, Shunchao; Li, Meng; Ji, Ang

doi:10.1016/j.trb.2022.08.008

Cited by 18 publications

(3 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mean E(T|T > t) and standard deviation d(T|T > t) of truncated travel time distribution can be determined as follows. The detailed derivations can be seen in Reference [20].…”

Section: Truncated Route Travel Distributionmentioning

confidence: 99%

“…Their experiment results indicate that travelers pay more attention to travel time reliability compared to travel time [14]. Furthermore, prospect theory-based and regret theory-based route choice models with travel time reliability were also developed to describe travelers' route choice behavior and network performance [15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Reliability-Based Traffic Equilibrium Model with Boundedly Rational Travelers Considering Acceptable Arrival Thresholds

Wang

Zhao²,

et al. 2023

Sustainability

View full text Add to dashboard Cite

This paper examines the effects of boundedly rational decision characteristics on travelers’ route choice behavior. The concept of boundedly rational confidence level (BRCL) is redefined, which is the probability that a trip arrives between the acceptable earliest arrival time and the acceptable latest arrival time on the shortest travel time budget (TTB). Mathematically, the acceptable boundedly rational arrival thresholds are proposed. Then, a reliability-based boundedly rational traffic equilibrium model (R-BRTE) considering both travel time reliability and acceptable arrival thresholds is developed. Moreover, the equivalent variational inequality problem and uniqueness of solution on the proposed model are proved. A route-based solution algorithm is used to solve the proposed R-BRTE model. Numerical results present the important decision ideas of the proposed model. The results demonstrate that travelers’ bounded rationality has a great impact on their route choice behavior and network performance.

show abstract

“…The mean E(T|T > t) and standard deviation d(T|T > t) of truncated travel time distribution can be determined as follows. The detailed derivations can be seen in Reference [20].…”

Section: Truncated Route Travel Distributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Reliability-Based Traffic Equilibrium Model with Boundedly Rational Travelers Considering Acceptable Arrival Thresholds

Wang

Zhao²,

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…When ego vehicle is running on open roads, changes in other traffic participants will affect the behavior of ego vehicle, so lane change decision needs to consider the interaction of surrounding environmental factors. Game theory [9], [10], and adversarial training [11] are used to establish the reward function of different traffic participants to design the lane change-avoidance decision model of autonomous vehicle in intelligent driving environment. In addition, with the enrichment of intelligent driving datasets, data models based on deep learning and reinforcement learning have been proposed in large numbers.…”

mentioning

confidence: 99%

A Human-Like Free-Lane-Change Trajectory Planning and Control Method With Data-Based Behavior Decision

Chu,

Wang,

Cao

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Free lane change (FLC) is an important research direction of intelligent driving vehicles. In this paper, a lane change decision model based on deep learning is established with ego and adjacent lane risk and properties of environmental vehicles. A long short-term memory neural network that can be associated with time series characteristics is used to model the lane change process based on analysis of factors affecting the lane change decision. The result of decision-making model training shows that the recognition accuracy of lane change and lane keeping decision reaches more than 92%. Then, a human-like FLC trajectory is planned based on polynomial curve, a quintic polynomial trajectory cluster based on preview distance is generated according to driving conditions, and the optimal FLC trajectory is selected by optimizing an objective function. The model predictive control method is used to dynamically control the vehicle to follow the trajectory. Finally, the lane change decision, trajectory planning, and tracking control model are built in simulation environment, and the control of vehicle dynamics model verifies the integrity and feasibility of free lane change function.INDEX TERMS Autonomous driving, Lane change decision, trajectory planning, tracking control.

show abstract

Adversarial Risk Analysis for Automated Lane-Changing in Heterogeneous Traffic

Naveiro,

Ríos Insua,

Caballero

2024

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Modeling bounded rationality in discretionary lane change with the quantal response equilibrium of game theory

Cited by 18 publications

References 40 publications

A Reliability-Based Traffic Equilibrium Model with Boundedly Rational Travelers Considering Acceptable Arrival Thresholds

A Reliability-Based Traffic Equilibrium Model with Boundedly Rational Travelers Considering Acceptable Arrival Thresholds

A Human-Like Free-Lane-Change Trajectory Planning and Control Method With Data-Based Behavior Decision

Adversarial Risk Analysis for Automated Lane-Changing in Heterogeneous Traffic

Contact Info

Product

Resources

About