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A cellular automata (CA) model for motorized vehicle flows influenced by bicycles along the roadside

https://doi.org/10.1002/atr.1382
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/atr.1257openalex-snapshot
Modeling the interactions between car and bicycle in heterogeneous traffic
inferredcites →https://doi.org/10.1016/0191-2615(94)90002-7openalex-snapshot
The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory
inferredcites →https://doi.org/10.1016/j.cma.2008.03.003openalex-snapshot
A hybrid scheme for solving a multi-class traffic flow model with complex wave breaking
inferredcites →https://doi.org/10.1016/j.physa.2009.01.033openalex-snapshot
Characteristics of mixed traffic flow with non-motorized vehicles and motorized vehicles at an unsignalized intersection
inferredcites →https://doi.org/10.1016/j.physa.2011.12.018openalex-snapshot
Cellular automata simulation of traffic including cars and bicycles
inferredcites →https://doi.org/10.1016/j.physa.2015.03.004openalex-snapshot
Cellular automata (CA) simulation of the interaction of vehicle flows and pedestrian crossings on urban low-grade uncontrolled roads
inferredcites →https://doi.org/10.1016/j.physleta.2006.06.015openalex-snapshot
The adaptive cruise control vehicles in the cellular automata model
inferredcites →https://doi.org/10.1016/j.physleta.2009.05.006openalex-snapshot
A new dynamic model for heterogeneous traffic flow
inferredcites →https://doi.org/10.1016/j.physleta.2012.08.035openalex-snapshot
Cellular automaton model in the fundamental diagram approach reproducing the synchronized outflow of wide moving jams
inferredcites →https://doi.org/10.1016/j.ssci.2013.05.009openalex-snapshot
Automated safety diagnosis of vehicle–bicycle interactions using computer vision analysis
inferredcites →https://doi.org/10.1016/j.trb.2007.02.002openalex-snapshot
Car following theory with lateral discomfort
inferredcites →https://doi.org/10.1016/j.trc.2011.08.013openalex-snapshot
Macroscopic relaxation after on-ramps in real data and in cellular automata simulations
inferredcites →https://doi.org/10.1016/s0378-4371(01)00141-8openalex-snapshot
Simulation of pedestrian dynamics using a two-dimensional cellular automaton
inferredcites →https://doi.org/10.1016/s0378-4371(02)00857-9openalex-snapshot
Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics
inferredcites →https://doi.org/10.1016/s1570-6672(08)60018-5openalex-snapshot
Quantitative Analysis of impact of Bicycles on Vehicles in Urban Mixed Traffic
inferredcites →https://doi.org/10.1016/s1570-6672(08)60079-3openalex-snapshot
Speed Character Study for Motor Vehicle and Bicycle at Non-barrier Section
inferredcites →https://doi.org/10.1017/s095679250500642xopenalex-snapshot
Hyperbolicity and kinematic waves of a class of multi-population partial differential equations
inferredcites →https://doi.org/10.1051/jp1:1992277openalex-snapshot
A cellular automaton model for freeway traffic
inferredcites →https://doi.org/10.1061/(asce)te.1943-5436.0000317openalex-snapshot
Effect of Bicycles on the Saturation Flow Rate of Turning Vehicles at Signalized Intersections
inferredcites →https://doi.org/10.1103/physreve.51.1035openalex-snapshot
Dynamical model of traffic congestion and numerical simulation
inferredcites →https://doi.org/10.1103/physreve.53.4655openalex-snapshot
Particle hopping models and traffic flow theory
inferredcites →https://doi.org/10.1103/physreve.57.2441openalex-snapshot
Cellular automaton model for bidirectional traffic
inferredcites →https://doi.org/10.1103/physreve.85.021119openalex-snapshot
Potential field cellular automata model for pedestrian flow
inferredcites →https://doi.org/10.1109/mits.2009.933863openalex-snapshot
Behavior modeling and simulation for conflicts in vehicles-bicycles mixed flow
inferredcites →https://doi.org/10.1142/s0129183109013558openalex-snapshot
MODELING THE INTERACTION BETWEEN MOTORIZED VEHICLE AND BICYCLE BY USING CELLULAR AUTOMATA MODEL
inferredcites →https://doi.org/10.1142/s0129183110015038openalex-snapshot
A DYNAMIC MODEL FOR THE HETEROGENEOUS TRAFFIC FLOW CONSISTING OF CAR, BICYCLE AND PEDESTRIAN
inferredcites →https://doi.org/10.1142/s0129183110015944openalex-snapshot
COMBINED CELLULAR AUTOMATON MODEL FOR MIXED TRAFFIC FLOW WITH NON-MOTORIZED VEHICLES
inferredcites →https://doi.org/10.1201/9780429494093openalex-snapshot
Cellular Automata and Complexity
inferredcites →https://doi.org/10.3141/1644-01openalex-snapshot
From Particle Hopping Models to Traffic Flow Theory
inferredcites →https://doi.org/10.3141/1646-11openalex-snapshot
Effect of Bicycles on Capacity of Signalized Intersections
inferredcites →https://doi.org/10.3141/1705-10openalex-snapshot
New Modeling Approach for Mixed-Traffic Streams with Nonmotorized Vehicles
inferredcites →https://doi.org/10.3141/1998-01openalex-snapshot
Comparison of Simple Performance Test |E * | of Accelerated Loading Facility Mixtures and Prediction |E * |
inferredcites →https://doi.org/10.3141/2314-11openalex-snapshot
Analysis of Factors Influencing Bicycle–Vehicle Interactions on Urban Roadways by Ordered Probit Regression
inferredcites →https://doi.org/10.3141/2468-05openalex-snapshot
Dispersion Effect in Left-Turning Bicycle Traffic and Its Influence on Capacity of Left-Turning Vehicles at Signalized Intersections

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4669175openalex-extracted
Research on Max Pressure Signal Control Method for Collaborative Optimization of Motor Vehicles and Non-Motor Vehicles
inferred← citeshttps://doi.org/10.1016/j.physa.2016.12.028openalex-snapshot
A cellular automaton model for ship traffic flow in waterways
inferred← citeshttps://doi.org/10.1016/j.physa.2017.04.125openalex-snapshot
Marine traffic model based on cellular automaton: Considering the change of the ship’s velocity under the influence of the weather and sea
inferred← citeshttps://doi.org/10.1016/j.physa.2017.08.138openalex-snapshot
Simulated interactions of pedestrian crossings and motorized vehicles in residential areas
inferred← citeshttps://doi.org/10.1016/j.tra.2021.08.017openalex-snapshot
Interaction behaviour of active mobility users in shared space
inferred← citeshttps://doi.org/10.1016/j.tra.2026.104879openalex-snapshot
Does micromobility always contribute to traffic emission reduction? Modeling vehicle interactions in heterogeneous traffic flows
inferred← citeshttps://doi.org/10.1017/s0373463320000636openalex-snapshot
A cellular automaton-based model of ship traffic flow in busy waterways
inferred← citeshttps://doi.org/10.1061/jtepbs.teeng-8889openalex-snapshot
Max Pressure Signal Control Method for Collaborative Optimization of Motor and Nonmotor Vehicles
inferred← citeshttps://doi.org/10.1080/21680566.2021.1994050openalex-snapshot
Three-dimensional macroscopic fundamental diagram for car and bicycle heterogeneous traffic
inferred← citeshttps://doi.org/10.1080/21680566.2024.2314762openalex-snapshot
Modelling motorized and non-motorized vehicle conflicts using multiagent inverse reinforcement learning approach
inferred← citeshttps://doi.org/10.1080/23249935.2020.1832157openalex-snapshot
Impact of bicycle traffic on the macroscopic fundamental diagram: some empirical findings in Shanghai
inferred← citeshttps://doi.org/10.1109/mits.2017.2776129openalex-snapshot
Bike Fleet Allocation Models for Repositioning in Bike-Sharing Systems
inferred← citeshttps://doi.org/10.1155/atr/5548412openalex-snapshot
Exploring Research Trends in Mixed Traffic Flow Simulation by Bibliometric Analysis
inferred← citeshttps://doi.org/10.1177/0037549717736947openalex-snapshot
Research on the characteristics of mixed traffic flow based on an improved bicycle model
inferred← citeshttps://doi.org/10.1371/journal.pone.0180075openalex-snapshot
Effectiveness of rapid rail transit system in Beijing
inferred← citeshttps://doi.org/10.15446/ing.investig.v41n2.83114openalex-snapshot
Multimetric Analysis of a Simulated Mixed Traffic of Motorcycles and Automobiles: Flow, Energy, CO2 and Costs
inferred← citeshttps://doi.org/10.2139/ssrn.6471003openalex-snapshot
Impact of Bikes on Traffic Efficiency Based on Car-Bike Mixed Traffic Flow Modeling
inferred← citeshttps://doi.org/10.32604/cmc.2022.022444openalex-snapshot
Fleet Optimization of Smart Electric Motorcycle System Using Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.32657/10356/151734openalex-snapshot
Interaction behaviour of active mobility users in shared space
inferred← citeshttps://doi.org/10.4218/etrij.2018-0435openalex-snapshot
Dynamic swarm particle for fast motion vehicle tracking
inferred← citeshttps://doi.org/10.7498/aps.66.194501openalex-snapshot
Multi-section cellular automata model of traffic flow
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