01628688

Component

https://doi.org/10.3141/2622-09

Lane changes can lead to disturbances in traffic flow, and the uneven distribution of traffic over different lanes as a result of lane changes can also lead to instability and congestion in one specific lane. Advice on lane changing can therefore be beneficial to both individual drivers and traffic in the network. The many variations in the content and objectives of advice, however, may affect the effectiveness of the advice. This paper focuses on the optimization of traffic flow through the performance of specific lane changes. Traffic flow is modeled on a two-lane stretch, and lane change time instants of a subset of vehicles are considered as decision variables. Optimizations with three objectives are constructed: a collective optimum, a group optimum, and a user optimum. These optima are found through the minimization of the total travel delay of different vehicle groups. To solve the problems, a genetic algorithm is implemented as a heuristic method. Each optimum leads to different lane changes. Specifically, through the proposed algorithm, vehicles receive suggestions to change lanes in bigger gaps to improve collective or group efficiency and are supposed to overtake as many vehicles as they can by changing lanes for their own benefit. The algorithm can be further extended to a more effective in-car advice system, which can improve traffic efficiency through communication with partly automated vehicles.

01648629

17-03157

English

pp 96–104

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309441889

Digital/other

Figures (4) ; References (23) ; Tables (2)

Advanced driver information systems; Genetic algorithms; Lane changing; Optimization; Traffic flow

Highways; Operations and Traffic Management; Planning and Forecasting

TRIS, TRB, ATRI

Dec 8 2016 11:11AM

• Cellular Automata–Based Modeling and Simulation of a Mixed Traffic Flow of Manual and Automated Vehicles
• Estimating the Impacts of Bus Stops and Transit Signal Priority on Intersection Operations: Queuing and Variational Theory Approach
• Evaluation of Driver Car-Following Behavior Models for Cooperative Adaptive Cruise Control Systems
• Improving Urban Street Network Efficiency by Prohibiting Conflicting Left Turns at Signalized Intersections
• Investigating the Effects of Reserved Lanes for Autonomous Vehicles on Congestion and Travel Time Reliability
• Mechanics-Based Acceleration Modeling of Multilane Traffic Flow
• Network Flow Relations and Travel Time Reliability in a Connected Environment
• Pedestrian Crowd Dynamics Observed at Merging Sections: Impact of Designs on Movement Efficiency
• Resuming Manual Control or Not? Modeling Choices of Control Transitions in Full-Range Adaptive Cruise Control
• SimMobility Short-Term: An Integrated Microscopic Mobility Simulator