Modeling and Simulation of Lane-Changing Management Strategies at On-Ramp and Off-Ramp Pair Areas Based on Cellular Automaton

In urban expressways, when an on-ramp and off-ramp pair are closely spaced, the operational condition of the downstream diverge area influences that of the adjacent upstream merge area because of the weaving movement and queuing. Although lane-changing management schemes have often been used in practice, the quantification effect of specific management schemes has not been studied in detail. In this paper, a new cellular automaton model that fits in an on-ramp and off-ramp pair area was established, in which three types of lane change behaviors and eight types of lane-changing management schemes are considered. Sensitivity analysis of the simulation results was conducted to validate the effectiveness of the lane-changing management schemes, from which the optimal schemes under various geometric and traffic conditions are recommended. Results show forcing the off-ramp vehicles to change lanes in advance by using lane markings results in higher operational efficiency in most cases.

[1]  Markos Papageorgiou,et al.  Overview of Traffic Signal Operation Policies for Ramp Metering , 2008 .

[2]  Hai-Jun Huang,et al.  A Multilane Traffic Flow Model Accounting for Lane Width, Lane-Changing and the Number of Lanes , 2014 .

[3]  Ozan K. Tonguz,et al.  Modeling urban traffic: A cellular automata approach , 2009, IEEE Communications Magazine.

[4]  Amir Abbas Rassafi,et al.  Modeling Traffic Flow on Urban Highways: the Application of Cellular Automata and Nested Logit , 2012 .

[5]  Jiang Rui,et al.  Traffic dynamics of an on-ramp system with a cellular automaton model , 2010 .

[6]  Xiaoping Qiu,et al.  Cellular Automata–Based Modeling and Simulation of a Mixed Traffic Flow of Manual and Automated Vehicles , 2017 .

[7]  Lili Du,et al.  Optimal location of advance warning for mandatory lane change near a two-lane highway off-ramp , 2016 .

[8]  Agachai Sumalee,et al.  Modeling the impacts of mandatory and discretionary lane-changing maneuvers , 2016 .

[9]  Takashi Nagatani,et al.  Effect of headway and velocity on safety–collision transition induced by lane changing in traffic flow , 2012 .

[10]  Bin Shang,et al.  Cellular automata simulation of traffic spillback and queue-jumping behaviors at off-ramp on urban expressways in Shanghai , 2014, The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014).

[11]  Carlos F. Daganzo,et al.  Effects of high occupancy vehicle lanes on freeway congestion , 2008 .

[12]  Yingyan Lou,et al.  A unified framework of proactive self-learning dynamic pricing for high-occupancy/toll lanes , 2013 .

[13]  Lei Zhang,et al.  Cycle-based variable speed limit methodology for improved freeway merging , 2017 .

[14]  Lu Xiong,et al.  Modeling and simulation of overtaking events by heterogeneous non-motorized vehicles on shared roadway segments , 2020, Simul. Model. Pract. Theory.

[15]  Keechoo Choi,et al.  A bi-level framework for pricing of high-occupancy toll lanes , 2014 .

[16]  Takashi Nagatani,et al.  Traffic states and fundamental diagram in cellular automaton model of vehicular traffic controlled by signals , 2009 .

[17]  Xinping Yan,et al.  Optimal Ramp Metering Control for Weaving Segments Considering Dynamic Weaving Capacity Estimation , 2014 .

[18]  Soyoung Ahn,et al.  Variable speed limit control for severe non-recurrent freeway bottlenecks , 2015 .

[19]  Carlos F. Daganzo,et al.  Ten Strategies for Freeway Congestion Mitigation with Advanced Technologies , 2002 .

[20]  Jing Zhao,et al.  Impact of in-vehicle navigation information on lane-change behavior in urban expressway diverge segments. , 2017, Accident; analysis and prevention.

[21]  Takashi Nagatani,et al.  Multiple-vehicle collision induced by lane changing in traffic flow , 2014 .

[22]  Jing Zhao,et al.  Optimal operation of freeway weaving segment with combination of lane assignment and on-ramp signal control , 2016 .

[23]  Xiaoguang Yang,et al.  Dynamic Lane Assignment Approach for Freeway Weaving Segment Operation , 2015 .

[24]  Rui Jiang,et al.  EFFECTS OF PASSING LANES ON HIGHWAY TRAFFIC FLOW , 2007 .

[25]  Natasha Sharma,et al.  Impact of time delay on the dynamics of SEIR epidemic model using cellular automata , 2017 .

[26]  Liang Chen,et al.  Modeling pedestrian flow accounting for collision avoidance during evacuation , 2018, Simul. Model. Pract. Theory.

[27]  Xiucheng Guo,et al.  The influence of heavy vehicles on traffic dynamics around on-ramp system: Cellular automata approach , 2017 .

[28]  Tie-Qiao Tang,et al.  Analysis of Traffic Properties of Commuters in a Speed-Limit Corridor with Toll Station under Microscopic Method , 2020 .

[29]  Jian Sun,et al.  Development and application of an integrated traffic simulation and multi-driving simulators , 2015, Simul. Model. Pract. Theory.

[30]  Takashi Nagatani,et al.  Clustering of Cars in Cellular Automaton Model of Freeway Traffic , 1993 .

[31]  Jian Sun,et al.  Online evaluation of an integrated control strategy at on-ramp bottleneck for urban expressways in Shanghai , 2014 .

[32]  Ling Wang,et al.  Reducing real-time crash risk for congested expressway weaving segments using ramp metering , 2017, 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS).

[33]  Takashi Nagatani,et al.  Safety–collision transition induced by lane changing in traffic flow , 2011 .

[34]  Wei Lv,et al.  Three-lane changing behaviour simulation using a modified optimal velocity model , 2011 .

[35]  Peng Li,et al.  A Generalized Integrated Corridor Diversion Control Model for Freeway Incident Management , 2013, Comput. Aided Civ. Infrastructure Eng..

[36]  Huang Hai-Jun,et al.  Modeling urban expressway systems with ramps and accessory roads by cellular automaton model , 2009 .

[37]  Jing Zhao,et al.  Two-dimensional vehicular movement modelling at intersections based on optimal control , 2020 .

[38]  Michael Schreckenberg,et al.  Asymmetric Lane Change Rules for a Microscopic Highway Traffic Model , 2014, ACRI.

[39]  Liang Chen,et al.  Child behavior during evacuation under non-emergency situations: Experimental and simulation results , 2019, Simul. Model. Pract. Theory.

[40]  Tie-Qiao Tang,et al.  Modeling and simulation of pedestrian flow in university canteen , 2019, Simul. Model. Pract. Theory.

[41]  Jaeyoung Lee,et al.  Implementation of Active Traffic Management Strategies for Safety on Congested Expressway Weaving Segments , 2017 .

[42]  Haitham Al-Deek,et al.  Using a Living Laboratory to Support Transportation Research for a Freeway Work Zone , 2014 .

[43]  Jing Zhao,et al.  Effect of lane allocation on operational efficiency at weaving areas based on a cellular automaton model , 2019 .