Modeling the impacts of mandatory and discretionary lane-changing maneuvers |
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| Institution: | 1. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong Special Administrative Region;2. School of Engineering, Sun Yat-Sen University, Guangzhou, China;3. Guangdong Provincial Key Laboratory of Intelligent Transportation Systems, Guangzhou, China;1. Department of Civil Engineering, The University of Texas at El Paso, 500 W. University Ave, El Paso, TX 79968, USA;2. Department of Electrical & Computer Engineering, The University of Texas at El Paso, 500 W. University Ave, El Paso, TX 79968, USA;1. Department of Transport and Planning, Delft University of Technology, Stevinweg 1, 2628 CN, Delft, The Netherlands;2. Department of BioMechanical Engineering, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands;1. School of Traffic and Transportation, Shijiazhuang Tiedao University, Shijiazhuang 050043, China;2. Smart Transport Research Centre, Queensland University of Technology, Brisbane 4000, Australia;3. School of Transportation, Southeast University, Nanjing 211189, China;4. Department of Computer Science and Computer Engineering, La Trobe University, Melbourne, Australia;5. Department of Electrical Engineering, Hong Kong Polytechnic University, Hong Kong, China;1. Trasnportation Center Northwestern University, 600 Foster St., Chambers Hall, Evanston, IL, 60208;2. School of Engineering and Applied Science, George Washington University, 20101 Academic Way #201-I, Ashburn, VA, 20147 |
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| Abstract: | In this paper, a novel mesoscopic multilane model is proposed to enable simultaneous simulation of mandatory and discretionary lane-changing behaviors to realistically capture multilane traffic dynamics. The model considers lane specific fundamental diagrams to simulate dynamic heterogeneous lane flow distributions on expressways. Moreover, different priority levels are identified according to different lane-changing motivations and the corresponding levels of urgency. Then, an algorithm is proposed to estimate the dynamic mandatory and discretionary lane-changing demands. Finally, the lane flow propagation is defined by the reaction law of the demand–supply functions, which can be regarded as an extension of the Incremental-Transfer and/or Priority Incremental-Transfer principles. The proposed mesoscopic multilane cell transmission model is calibrated and validated on a complex weaving section of the State Route 241 freeway in Orange County, California, showing both the positive and negative impact of lane changing maneuvers, e.g., balancing effect and capacity drop, respectively. Moreover, the empirical study verifies that the model requires no additional data other than the cell transmission model does. Thus, the proposed model can be deployed as a simple simulation tool for accessing dynamic mesoscopic multilane traffic state from data available to most management centers, and also the potential application in predicting the impact of traffic incident or lane control strategy. |
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| Keywords: | Mesoscopic multilane traffic model Minimum gap acceptance criterion Lane specific fundamental diagram Mandatory lane changing demand estimation |
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