scholarly journals Cellular Automata Based Modeling for Evaluating Different Bus Stop Designs in China

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Haoyang Ding ◽  
Wei Wang ◽  
Tianming Luo ◽  
Zhen Yang ◽  
Ye Li ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Motor Vehicle ◽  
Motor Vehicles ◽  
Inflow Rate ◽  
Passenger Transport ◽  
Transport Capacity ◽  
Mixed Traffic Flow ◽  
Bus Stop ◽  
Traffic Conflicts ◽  
Bus Stops

A cellular automaton model is proposed to simulate mixed traffic flow composed of motor vehicles and bicycles near bus stops. Three typical types of bus stops which are common in China are considered in the model, including two types of curbside bus stops and one type of bus bay stops. Passenger transport capacity of three types of bus stops, which is applied to evaluate the bus stop design, is calculated based on the corresponding traffic flow rate. According to the simulation results, the flow rates of both motor vehicles and bicycles exhibit phase transition from free flow to the saturation one at the critical point. The results also show that the larger the interaction between motor vehicle and bicycle flow is near curbside bus stops, the more the value of saturated flows drops. Curbside bus stops are more suitable when the conflicts between two flows are small and the inflow rate of motor vehicles is low. On the contrary, bus bay stops should be applied due to their ability to reduce traffic conflicts. Findings of this study can provide useful suggestions on bus stop selection considering different inflow rate of motor vehicles and bicycles simultaneously.

scholarly journals Traffic Conflict Analysis of Motor Vehicles and Nonmotor Vehicles Based on Improved Cellular Automata

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Chenhao Dong ◽  
Rongguo Ma ◽  
Yujie Yin ◽  
Borui Shi ◽  
Wanting Zhang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Safety ◽  
Motor Vehicle ◽  
Motor Vehicles ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
The Road ◽  
Physical Isolation ◽  
Traffic Environment ◽  
Electric Bicycles

In recent years, with the rapid development of China’s logistics industry and urban service industry, electric bicycles have gradually become an important means of transportation in cities due to their flexibility, green technology, and low operating costs. Because electric bicycles travel though motor vehicle lanes and nonmotor vehicle lanes, the conflict between motor and nonmotor vehicles has become increasingly prominent, and the safety situation is not optimistic. However, most theories and models of mixed traffic flow are based on motor vehicles and bicycles and few involve electric bicycles. To explore the traffic safety situation in an urban mixed traffic environment, this paper first uses cellular automata (CA) to establish a three-strand mixed traffic flow model of motor vehicles, electric bicycles, and bicycles and verifies the reliability of the model by using a MATLAB simulation based on the actual survey data. Then, using the technology of traffic conflicts and the conflict rate as the index to evaluate the traffic safety situation, the change in the conflict rate with different road occupancies and different proportional coefficients of motor vehicles is studied. In the end, the conflict rate is compared between the mixed traffic flow and the setting of a physical isolation divider, which provides some suggestions on when to set a physical isolation divider to separate motor vehicles from nonmotor vehicles. The results show that in a mixed traffic environment, the conflict rate first increases and then decreases with increasing road occupancy and reaches a peak when the road occupancy is 0.6. In addition, in mixed traffic environments, the conflict rate increases with an increasing proportional coefficient of the motor vehicle. When the road occupancy rate is within the range of [0.6, 0.9] or when the proportional coefficient of motor vehicle is between [0.8, 0.9], a physical isolation divider can be set to separate motor vehicles and nonmotor vehicles from the space to improve traffic safety.

The influence of bus stop on traffic flow with velocity-difference-separation model

2016 ◽  
Vol 27 (11) ◽  
pp. 1650135 ◽  
Author(s):  
Pengjun Zheng ◽  
Wei Wang ◽  
Hongxia Ge
Keyword(s):  
Traffic Flow ◽  
Urban Traffic ◽  
Traffic Density ◽  
Mixed Traffic ◽  
Velocity Difference ◽  
Mixed Traffic Flow ◽  
Bus Stop ◽  
Traffic State ◽  
Bus Stops ◽  
Separation Model

Based on velocity-difference-separation model, the mixed traffic flow on two-lane road is investigated. For a fixed road length, the influence of bus and bus stops on traffic flow is studied with the increasing traffic density. Compared with the result without bus stops given by Li et al., a new traffic state is found, which is valuable for studying the impacts of public transport on urban traffic flow.

Dirty-Face Game Analysis on Mixed Traffic Flow at Unsignalized Intersection

2011 ◽  
Vol 201-203 ◽  
pp. 2119-2125
Author(s):  
Lu Wang ◽  
Neng Gang Xie ◽  
Rui Meng
Keyword(s):  
Traffic Flow ◽  
Behavior Pattern ◽  
Urban Traffic ◽  
Mixed Traffic ◽  
Security Risks ◽  
Game Analysis ◽  
Mixed Traffic Flow ◽  
Traffic Capacity ◽  
Traffic Conflicts ◽  
Behavior Characteristics

Mixed traffic flow is the basic characteristic of urban traffic. In pedestrian crosswalk without signals, there are a lot of traffic conflicts between pedestrians and vehicles crossing the intersection, which badly affects the traffic capacity and increases security risks. Through an analysis on the behavior pattern of pedestrians and vehicles crossing through the crosswalk, the paper first proposes a model based on dirty-face game to study the behavior characteristics of intersection traffic, which perfects analysis approaches to the traffic capacity of road crossing and the mixed traffic flow theory.

scholarly journals Bilevel Programming for Traffic Signal Coordinated Control considering Pedestrian Crossing

2020 ◽  
Vol 2020 ◽  
pp. 1-18 ◽  
Author(s):  
Dawei Li ◽  
Yuchen Song ◽  
Qiong Chen
Keyword(s):  
Traffic Flow ◽  
Bilevel Programming ◽  
Motor Vehicle ◽  
Rapid Development ◽  
Coordinated Control ◽  
Traffic Signal ◽  
Motor Vehicles ◽  
Traffic Efficiency ◽  
Pedestrian Delays ◽  
Pedestrian Crossing

With the rapid development of the subway, more and more people choose it as the main method of transportation. However, practically, the large number of pedestrians near some large metro stations can also correspondingly affect the traffic of motor vehicles on the roads adjacent to the stations. In this study, coordinated control of the traffic signal which considers the pedestrian crossing delay is studied based on this background. Firstly, the model of progression band in adjacent intersections is analyzed comprehensively, and the calculation formulas of progression bandwidth and the delay of vehicles which are from the progression of traffic flow under different conditions are given. Secondly, five different models of pedestrian delay are analyzed. Under different conditions of motor vehicle and pedestrian traffic flow, the Vissim fitting and proofreading are carried out and the optimal models under different conditions are obtained. Finally, the bilevel programming problem which fuses the above two models is determined; by coding an algorithm, it can be resolved. Furthermore, taking eight signalized intersections from Jiming Temple to Daxinggong along Nanjing Metro Line 3 as the actual background, the calculation and optimization of coordinated control are carried out. It is found that at the expense of the traffic efficiency of large intersections to a certain extent, a wider progression band can be formulated on the roads between them, and pedestrian delays can be reduced in general.

scholarly journals Car Delay Model near Bus Stops with Mixed Traffic Flow

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Yang Xiaobao ◽  
Huan Mei ◽  
Gao Ziyou
Keyword(s):  
Probability Theory ◽  
Traffic Flow ◽  
Queuing Theory ◽  
Delay Model ◽  
Mixed Traffic ◽  
Average Delay ◽  
Mixed Traffic Flow ◽  
Operation Conditions ◽  
Traffic Stream ◽  
Bus Stops

This paper proposes a model for estimating car delays at bus stops under mixed traffic using probability theory and queuing theory. The roadway is divided to serve motorized and nonmotorized traffic streams. Bus stops are located on the nonmotorized lanes. When buses dwell at the stop, they block the bicycles. Thus, two conflict points between car stream and other traffic stream are identified. The first conflict point occurs as bicycles merge to the motorized lane to avoid waiting behind the stopping buses. The second occurs as buses merge back to the motorized lane. The average car delay is estimated as the sum of the average delay at these two conflict points and the delay resulting from following the slower bicycles that merged into the motorized lane. Data are collected to calibrate and validate the developed model from one site in Beijing. The sensitivity of car delay to various operation conditions is examined. The results show that both bus stream and bicycle stream have significant effects on car delay. At bus volumes above 200 vehicles per hour, the curbside stop design is not appropriate because of the long car delays. It can be replaced by the bus bay design.

Mixed traffic flow modeling near Chinese bus stops and its applications

2012 ◽  
Vol 19 (9) ◽  
pp. 2697-2704 ◽  
Author(s):  
Xiao-bao Yang ◽  
Bing-feng Si ◽  
Mei Huan
Keyword(s):  
Traffic Flow ◽  
Mixed Traffic ◽  
Flow Modeling ◽  
Mixed Traffic Flow ◽  
Bus Stops

scholarly journals Road Capacity at Bus Stops with Mixed Traffic Flow in China

2009 ◽  
Vol 2111 (1) ◽  
pp. 18-23 ◽  
Author(s):  
Xiaobao Yang ◽  
Ziyou Gao ◽  
Xiaomei Zhao ◽  
Bingfeng Si
Keyword(s):  
Traffic Flow ◽  
Mixed Traffic ◽  
Mixed Traffic Flow ◽  
Road Capacity ◽  
Bus Stops

Optimization of Signal Timing for the Mixed Traffic Flow in Vissim Simulation Environment

2012 ◽  
Vol 253-255 ◽  
pp. 1726-1730
Author(s):  
Jian Gang Qiao ◽  
Pei Hu ◽  
Dan Yu
Keyword(s):  
Traffic Flow ◽  
Conversion Factor ◽  
Motor Vehicles ◽  
Signal Timing ◽  
Mixed Traffic ◽  
Simulation Environment ◽  
Mixed Traffic Flow ◽  
Signal Time

In order to improve the capacity of urban roads and alleviate the intersections’ congestion, this paper analyses the characteristics of mixed traffic flow in China, considers non- motor vehicles’ impact to the intersections, uses definite number of conversion to convert non-motor vehicles to motor vehicles, and then recomposes the F-B signal timing formula based on the traditional F-B signal timing method. By an example and Vissim simulation, a reasonable conversion factor is computed, The recomposed F-B signal time formula can reduce the delay and improve the efficience of the intersections, providing a new idea to signal timing under the mixed traffic flow.

scholarly journals Modified Motor Vehicles Travel Speed Models on the Basis of Curb Parking Setting under Mixed Traffic Flow

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Zhenyu Mei ◽  
Jun Chen
Keyword(s):  
Traffic Flow ◽  
Travel Speed ◽  
The Other ◽  
Motor Vehicles ◽  
Model Parameters ◽  
Mixed Traffic ◽  
Ongoing Controversy ◽  
Urban Streets ◽  
Urban Street ◽  
Mixed Traffic Flow

The ongoing controversy about in what condition should we set the curb parking has few definitive answers because comprehensive research in this area has been lacking. Our goal is to present a set of heuristic urban street speed functions under mixed traffic flow by taking into account impacts of curb parking. Two impacts have been defined to classify and quantify the phenomena of motor vehicles' speed dynamics in terms of curb parking. The first impact is called Space impact, which is caused by the curb parking types. The other one is the Time impact, which results from the driver maneuvering in or out of parking space. In this paper, based on the empirical data collected from six typical urban streets in Nanjing, China, two models have been proposed to describe these phenomena for one-way traffic and two-way traffic, respectively. An intensive experiment has been conducted in order to calibrate and validate these proposed models, by taking into account the complexity of the model parameters. We also provide guidelines in terms of how to cluster and calculate those models' parameters. Results from these models demonstrated promising performance of modeling motor vehicles' speed for mixed traffic flow under the influence of curb parking.

scholarly journals A Cellular Automata Traffic Flow Model considering Bus Lane Changing Behavior with Scheduling Parameters

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Zun-dong Zhang ◽  
Yan-fang Yang ◽  
Wenjiao Qi ◽  
Abderrahim Chariete ◽  
Xing-xiang Lin
Keyword(s):  
Cellular Automata ◽  
Traffic Flow ◽  
Flow Model ◽  
Flow Density ◽  
Mixed Traffic ◽  
Lane Changing ◽  
Traffic Flow Model ◽  
Mixed Traffic Flow ◽  
Bus Lane ◽  
Bus Stops

According to different driving behavioral characteristics of bus drivers, a cellular automata traffic model considering the bus lane changing behavior with scheduling parameters is proposed in this paper. Traffic bottleneck problems caused by bus stops are simulated in multiple lanes roads with no-bay bus stations. With the mixed traffic flow composed of different bus arrival rate, flow-density graph, density distribution graph, and temporal-spatial graph are presented. Furthermore, the mixed traffic flow characteristics are analyzed. Numerical experiment results show that the proposed model can generate a variety of complicated realistic phenomena in the traffic system with bus stops and provide theoretical basis for better using of traffic flow model.

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