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.

Two Dimensional Cellular Automaton Model of the Mixed Traffic Flow for Urban Traffic

2012 ◽  
Vol 241-244 ◽  
pp. 2082-2087
Author(s):  
Li Yang ◽  
Jun Hui Hu ◽  
Ling Jiang Kong
Keyword(s):  
Boundary Conditions ◽  
Cellular Automaton ◽  
Traffic Flow ◽  
Flow Model ◽  
Urban Traffic ◽  
Mixed Traffic ◽  
Traffic Flow Model ◽  
Traffic Lights ◽  
Mixed Traffic Flow ◽  
Transit Traffic

Based on the two-dimension cellular automaton traffic flow model (BML model), a mixed traffic flow model for urban traffic considering the transit traffic is established in this paper. Under the don't block the box rules and the opening boundary conditions, the impacts of transit traffic, the central station, traffic lights cycle, the vehicles length on the mixed traffic flow is studied by computer simulation. Some important characters appearing in the new model are also elucidated. It shows that traffic flow is closely related to traffic lights cycle, the geometric structure of transport network and boundary conditions. Under certain traffic light cycle time, the traffic flow has a periodical oscillation change. The comparison to practical measured data shows that our stimulation results are accordant with the changes of real traffic flow, which confirms the accuracy and rationality of our model.

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

Development and Application of CHANSIGNAL Signal Timing Software System

2011 ◽  
Vol 135-136 ◽  
pp. 436-442
Author(s):  
Hong Chen ◽  
Ji Biao Zhou ◽  
Juan Sun
Keyword(s):  
Traffic Flow ◽  
Simulation Analysis ◽  
High Accuracy ◽  
Urban Traffic ◽  
Signal Timing ◽  
Mixed Traffic ◽  
Traffic Condition ◽  
Mixed Traffic Flow ◽  
Timing Model ◽  
Timing System

Considering the mixed traffic flow of current urban traffic condition in our country, the paper develops the CHANSIGNAL signal timing system based on the improved TRRL signal timing model. Through simulation analysis and case verification, the system presents the advantages of high accuracy, calculating speed in signal timing for intersection. The system significantly improves the traffic operating condition, which proves the system’s validity and practicality.

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.

Analytical studies on an extended car following model for mixed traffic flow with slow and fast vehicles

2016 ◽  
Vol 27 (01) ◽  
pp. 1650004 ◽  
Author(s):  
Zhipeng Li ◽  
Xun Xu ◽  
Shangzhi Xu ◽  
Yeqing Qian ◽  
Juan Xu
Keyword(s):  
Standard Deviation ◽  
Traffic Flow ◽  
Maximum Velocity ◽  
Traffic Density ◽  
Extended Model ◽  
Mixed Traffic ◽  
Car Following ◽  
Mixed Traffic Flow ◽  
Average Maximum ◽  
Car Following Model

The car-following model is extended to take into account the characteristics of mixed traffic flow containing fast and slow vehicles. We conduct the linear stability analysis to the extended model with finding that the traffic flow can be stabilized with the increase of the percentage of the slow vehicle. It also can be concluded that the stabilization of the traffic flow closely depends on not only the average value of two maximum velocities characterizing two vehicle types, but also the standard deviation of the maximum velocities among all vehicles, when the percentage of the slow vehicles is the same as that of the fast ones. With increase of the average maximum velocity, the traffic flow becomes more and more unstable, while the increase of the standard deviation takes negative effect in stabilizing the traffic system. The direct numerical results are in good agreement with those of theoretical analysis. Moreover, the relation between the flux and the traffic density is investigated to simulate the effects of the percentage of slow vehicles on traffic flux in the whole density regions.

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.

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