scholarly journals Using Cellular Automata to Investigate Pedestrian Conflicts with Vehicles in Crosswalk at Signalized Intersection

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Xiaomeng Li ◽  
Xuedong Yan ◽  
Xingang Li ◽  
Jiangfeng Wang
Keyword(s):  
Cellular Automata ◽  
Signalized Intersections ◽  
Influential Factors ◽  
Urban Traffic ◽  
Signalized Intersection ◽  
Signal Timing ◽  
Cellular Automata Model ◽  
Intersection Safety ◽  
Traffic Conflicts ◽  
Simulation Results

The operational efficiency and safety of pedestrian flows at intersections is an important aspect of urban traffic. Particularly, conflicts between pedestrians and vehicles in crosswalk are one of the most influential factors for intersection safety. This paper presents a cellular automata model that simulates pedestrian and vehicle crossing behaviors at signalized intersections. Through the simulation, we investigate the effects of different pedestrian signal timing and crosswalk widths on the crosswalk capacity, the number of traffic conflicts between pedestrians and vehicles, and pedestrian delay due to the conflicts. The simulation results indicate that the cellular automata is an effective simulation platform for investigating complex pedestrian-related traffic phenomenon at signalized intersections.

Modeling Traffic Conflicts between Pedestrians and Vehicles at Signalized Intersection Based on the Cellular Automata

2012 ◽  
Vol 178-181 ◽  
pp. 1881-1886
Author(s):  
Xiao Meng Li ◽  
Xue Dong Yan ◽  
Jiang Feng Wang
Keyword(s):  
Cellular Automata ◽  
Signalized Intersections ◽  
Signalized Intersection ◽  
Intersection Safety ◽  
Vehicle Density ◽  
Conflict Model ◽  
Traffic Conflicts ◽  
Traffic Conflict ◽  
Pedestrian Crossing ◽  
Main Factor

The traffic conflict between pedestrian and vehicle is a main factor that influences the intersection safety and capacity. In this paper, a conflict model that simulates the pedestrians and vehicles’ crossing behaviors when passing the pedestrian crossing area at signalized intersection is presented based on cellular automata method. Evolution rules for pedestrians, vehicles and conflicts between them are assigned. Four types of traffic conflict events and conflict areas are categorized and defined. On the basis of the simulation results, the pedestrian delay owning to traffic conflicts, the number of pedestrians’ conflicts, the conflict event and their relationships with the vehicle density as well as the pedestrian density are analyzed and discussed. This model reproduces realistic pedestrian-related traffic phenomenon effectively and can be used in more complex traffic environments at signalized intersections.

Research on Simulation for the Mechanism of Knowledge Potential Difference between Enterprises in the Industrial Cluster on Knowledge Transfer

2012 ◽  
Vol 246-247 ◽  
pp. 317-321
Author(s):  
Ming Hua Han
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Cellular Automata ◽  
Industrial Cluster ◽  
Potential Difference ◽  
Cellular Automata Model ◽  
Simulation Results ◽  
Difference Effect

As an important part of the knowledge management activities, knowledge transfer is effective way that the cluster enterprises to gain, learn and accumulate their own knowledge. In this study, we analyzed the mechanism of the knowledge potential difference between enterprises in the industrial cluster on knowledge transfer. Through establishing a cellular automata model, the paper simulated the process of knowledge potential difference effect on the knowledge transfer between enterprises within the industrial cluster. The simulation results indicate that the knowledge distance has remarkable impact on the knowledge transfer between cluster enterprises, and only the proper knowledge distance will be more conducive to the knowledge transfer between cluster enterprises.

SUBCONSCIOUS ENVIRONMENTAL INFORMATION PERCEIVING BEHAVIOR AND ITS ATTENUATION IN INFORMATION-BASED EVACUATION EXPERIMENT

2012 ◽  
Vol 23 (07) ◽  
pp. 1250049 ◽  
Author(s):  
LIZHONG YANG ◽  
SHAOBO LIU ◽  
PING RAO ◽  
KONGJIN ZHU
Keyword(s):  
Cellular Automata ◽  
Flow Rate ◽  
Normal Condition ◽  
Emergency Evacuation ◽  
Environmental Information ◽  
Experimental Results ◽  
Cellular Automata Model ◽  
Human Behaviors ◽  
Simulation Results ◽  
Evacuation Experiment

An evacuation was studied from a classroom by means of experiment and simulation. In the experiments, evacuation with and without visibility was mimicked by requiring the evacuees to wear eye masks or not. The distribution of evacuees' egress times against initial positions and the flow rate at exits were studied. It was found that when masks were used, evacuees' egress strategies were highly dependent on their pre-perceived environmental information in subconsciousness which might affect the egress process. Thus we call this phenomenon the "subconscious environmental information perceiving behavior." In the simulation, a cellular automata model considering the influence of sound information and the subconscious behavior was used to simulate the experiments. Both the experimental and the simulation results show that the sound information plays a more important role in evacuation without visibility than in normal condition, and the pre-perceived environmental information is also very important when people have poor visibility because of the subconscious environmental information perceiving behavior. The simulation results consist with the experimental results well. This study is useful for understanding the human behaviors during emergency evacuation with poor visibility under the guide of sound signal.

Safety-Based Left-Turn Phasing Decisions for Signalized Intersections

2017 ◽  
Vol 2619 (1) ◽  
pp. 13-19 ◽  
Author(s):  
Kiriakos Amiridis ◽  
Nikiforos Stamatiadis ◽  
Adam Kirk
Keyword(s):  
Urban Areas ◽  
Primary Objective ◽  
Signalized Intersections ◽  
Safety Performance ◽  
Signal Timing ◽  
Left Turn ◽  
Crash Data ◽  
Intersection Safety ◽  
Traffic Volumes

The efficient and safe movement of traffic at signalized intersections is the primary objective of any signal-phasing and signal-timing plan. Accommodation of left turns is more critical because of the higher need for balancing operations and safety. The objective of this study was to develop models to estimate the safety effects of the use of left-turn phasing schemes. The models were based on data from 200 intersections in urban areas in Kentucky. For each intersection, approaches with a left-turn lane were isolated and considered with their opposing through approach to examine the left-turn–related crashes. This combination of movements was considered to be one of the most dangerous in intersection safety. Hourly traffic volumes and crash data were used in the modeling approach, along with the geometry of the intersection. The models allowed for the determination of the most effective type of left-turn signalization that was based on the specific characteristics of an intersection approach. The accompanying nomographs provide an improvement over existing methods and warrants and allow for a systematic and quick evaluation of the left-turn phase to be selected. The models used the most common variables that were already known during the design phase, and they could be used to determine whether a permitted or protected-only phase would suit the intersection when safety performance was considered.

scholarly journals Analysis of Route Choice for Pedestrian Two-Stage Crossing at a Signalized Intersection

2018 ◽  
Vol 4 (12) ◽  
pp. 2813
Author(s):  
Yongqing Guo ◽  
Xiaoyuan Wang ◽  
Xinqiang Meng ◽  
Yaqi Liu ◽  
Jie Wang
Keyword(s):  
Video Recording ◽  
Route Choice ◽  
Signalized Intersections ◽  
Signalized Intersection ◽  
Limited Attention ◽  
Signal Timing ◽  
Route Choice Behavior ◽  
Proposed Model ◽  
Directional Change ◽  
Pedestrian Infrastructure

Studying pedestrians’ twice-crossing behavior is of great significance to enhance safety and efficiency for pedestrians at signalized intersections. However, limited attention has been paid to analyze and model pedestrians’ behavior patterns of twice crossing. The purpose of this paper is to determine pedestrians' route choices for twice crossing at a signalized intersection, focusing on the waiting position (to cross the street) and walking route. A goal-oriented and time-driven model was proposed to analyze pedestrians’ twice-crossing behavior at signalized intersections, where the two directions have different pedestrian signal timing. A video-recording method was used to collect field data in order to obtain pedestrian preferences in choosing a walking route. It was found that pedestrians in the two directions present different preferences toward walking route, in waiting position, directional change and route type. The results showed that the proposed model is effective in simulating pedestrian route-choice behavior of twice crossing. This research provides a theoretical basis for identifying pedestrian movement intention, optimizing signal timing, and improving pedestrian infrastructure at signalized intersections. 

The energy dissipation at roundabout system

2019 ◽  
Vol 33 (04) ◽  
pp. 1950007
Author(s):  
A. Khallouk ◽  
H. Binoua ◽  
N. Lakouari ◽  
H. Echab ◽  
R. Marzoug ◽  
...  
Keyword(s):  
Phase Diagram ◽  
Energy Dissipation ◽  
Cellular Automata ◽  
Entry Point ◽  
Free Flow ◽  
Exit Point ◽  
Cellular Automata Model ◽  
Flow Phase ◽  
Simulation Results

In this paper, we propose a cellular automata model to study the energy dissipation in the roundabout system. The energy dissipation and the phase diagram of the system in the space ([Formula: see text]) are constructed. The energy dissipation profile (SE[Formula: see text](i)), and the effect of the rate [Formula: see text] (i.e., the rate of vehicles with no aimed exit point) and the probability P[Formula: see text] of choosing the next exit point to leave the circulating lane on the energy dissipation are shown. The simulation results show that the energy dissipation explains the nature of the phases, the quasi-free-flow (Q-FF) phase take place on the free flow phase because some vehicles decelerate at the entry point. Likewise, the results also indicate that the energy dissipation takes small values with the increases of the two probability [Formula: see text] and P[Formula: see text] which enhance the environmental statutes of the roundabout system.

Applicability Study on Simulating Interference of Mixed Traffic at Signalized Intersections Using VISSIM

2013 ◽  
Vol 423-426 ◽  
pp. 2946-2949
Author(s):  
Cheng Hua Li ◽  
Shan Shan Li
Keyword(s):  
Signalized Intersections ◽  
Simulation Software ◽  
Signalized Intersection ◽  
Simulation Platform ◽  
Mixed Traffic ◽  
Average Speed ◽  
Simulation Results

The applicability of the interference of mixed traffic of VISSIM is inspected indexed by the rate of interference, delay and the average speed of right turn vehicles. This paper took Jiaoda east road and Xueyuan south road intersection (Hereinafter referred to as Sidaokou) as an example, established the simulation platform. Then the actual running condition of vehicles and simulation results were compared. The error between the measured values of each index and simulation values are in the range of 20%, which shows that it is applicable to use the simulation software VISSIM to simulate the interference between mixed traffic at signalized intersection.

MODELING THE INTERACTION BETWEEN MOTORIZED VEHICLE AND BICYCLE BY USING CELLULAR AUTOMATA MODEL

2009 ◽  
Vol 20 (02) ◽  
pp. 209-222 ◽  
Author(s):  
XIN-GANG LI ◽  
ZI-YOU GAO ◽  
BIN JIA ◽  
XIAO-MEI ZHAO
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Future Research ◽  
Mixed Traffic ◽  
Cross Point ◽  
Cellular Automata Model ◽  
Mixed Traffic Flow ◽  
Simulation Results ◽  
The Cross ◽  
The Right

In this paper, the cellular automata models for motorized vehicle flow and that for bicycle flow are combined to modeling the interactions between the right-turning motorized vehicle and the driving ahead bicycle at intersection. We introduce the probability that the cross point is taken up by the same kind of vehicle during two successive time steps to describe the complex behaviors when conflict happens. The flux of both motorized vehicle and bicycle depending on the inflow rates are investigated and the spatiotemporal diagrams are also presented to show different traffic states as the inflow rates change. The simulation results show that the model can describe the interactions between motorized vehicle and bicycle. It makes foundations for future research on mixed traffic flow.

Sign in / Sign up

Export Citation Format

Share Document