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.

Study on Coordinated Control of Traffic Signal for Adjacent Intersections

2012 ◽  
Vol 433-440 ◽  
pp. 4765-4770
Author(s):  
Yuan Li Gu ◽  
Chun Fu Shao
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Method ◽  
Traffic Flow ◽  
Coordinated Control ◽  
Traffic Signal ◽  
Urban Road ◽  
Traffic Efficiency ◽  
Phase Offset ◽  
Saturated Traffic ◽  
Key Parameter

Optimization of phase offset for adjacent intersections is the key parameter regarding coordinated control of traffic signal for adjacent intersections, which decides the effect of the coordinated control for adjacent intersections. According to characters of saturated traffic flow of Chinese urban road, this thesis establishes a model for optimization of phase offset for adjacent interactions and finds a solution from such model by adopting genetic algorithm. The model is verified by actual traffic flow datum of two adjacent signal intersections on Changan Avenue. Then a comparison is made between the optimization result of such model and that of the existing mathematical method and SYNCHRO model, which indicates that the model established by this thesis can reduce the delay suffered by vehicles at the intersections and increase the traffic efficiency of the intersections.

OPTIMISING TRAFFIC FLOW AT A SIGNALISED INTERSECTION USING SIMULATION

2019 ◽  
Vol 4 (2) ◽  
pp. 261
Author(s):  
Muhammad Rozi Malim ◽  
Faridah Abdul Halim ◽  
Sherey Sufreney Abd Rahman
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Simulation Software ◽  
Traffic Signal ◽  
Traffic Data ◽  
Traffic Light ◽  
Traffic Lights ◽  
Light Management ◽  
Optimal Setting ◽  
Pedestrian Crossing

Traffic signal lights system is a signalling device located an intersection or pedestrian crossing to control the movement of traffic. The timing of traffic signal lights has attracted many researchers to study the problems involving traffic light management and looking for an inexpensive and effective solution that requires inexpensive changes in the infrastructures. A simple traffic lights system uses a pre-timed control setting based on the latest traffic data, and the setting could be manually changed. It is a common type of signal control and sometimes the setting was not correctly configured with the traffic data, thus leading to congestion at an intersection. Many mathematical strategies were applied to get an optimal setting. This study aims to model the traffic flow at Persiaran Kayangan and Persiaran Permai Intersection, Section 7, Shah Alam, as the case study, by using AnyLogic simulation software. The model was used to determine the best timings of traffic green lights that minimise the average time at the intersection and reduce traffic congestion. The findings showed that the best timings of traffic green lights for four directions at the intersection are 120 seconds, 75 seconds, 130 seconds and 100 seconds, respectively. These timings of green lights produced the lowest average time at the intersection (55.65 seconds).

Evaluation of Innovative Bike-Box Application in Eugene, Oregon

2000 ◽  
Vol 1705 (1) ◽  
pp. 99-106 ◽  
Author(s):  
William W. Hunter
Keyword(s):  
Motor Vehicle ◽  
Traffic Signals ◽  
Traffic Signal ◽  
Target Group ◽  
Motor Vehicles ◽  
Vehicle Traffic ◽  
Frequency Of Use ◽  
Before And After ◽  
Signal Changes ◽  
The Right

An innovative “bike box”—a right-angle extension to a bike lane (BL) at the head of the intersection—was installed with accompanying traffic signs but no extra traffic signals at a busy downtown intersection featuring two one-way streets in Eugene, Oregon, in summer 1998. The box allows bicyclists traveling to the intersection in a left side BL to get to the head of the traffic queue on a red traffic signal indication and then proceed ahead of motor vehicle traffic toward a right side BL when the traffic signal changes to green. Cyclists traveling through the intersection were videotaped before and after placement of the box. The videotapes were coded to evaluate operational behaviors and conflicts with motorists, other bicyclists, and pedestrians. Twenty-two percent of the bicyclists who approached in the left side BL and then crossed to the BL on the right side of the street (the bicyclists for whom the box was most intended) used the box. Many more bicyclists in this target group could have used the box (i.e., they had a red signal indication and enough time to move into the box). A problem with motor vehicle encroachments into the box likely diminished the frequency of use. The rate of conflicts between bicycles and motor vehicles changed little in the before and after periods. No conflicts took place while the bike box was being used as intended.

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.

scholarly journals Bus Priority Signal Control Considering Delays of Passengers and Pedestrians of Adjacent Intersections

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Jiali Li ◽  
Yugang Liu ◽  
Hongtai Yang ◽  
Bin Chen
Keyword(s):  
Traffic Flow ◽  
Coordinated Control ◽  
Signal Control ◽  
Signal Timing ◽  
Bus Priority ◽  
Total Delay ◽  
Phase Extension ◽  
Pedestrian Delays ◽  
Adjustment Scheme ◽  
Optimal Signal

In this paper, a bus priority signal control (BPSC) method based on delays of passengers and pedestrians at adjacent intersections, is proposed. The influences of BPSC on passenger and pedestrian delay at adjacent intersections under the condition of coordinated control of green waves are studied. The implementation of BPSC at intersections not only reduces the delay of bus passengers, social vehicle passengers and pedestrians, but also improves the traffic flow of priority buses and social vehicles at downstream intersections. This study takes the green phase extension as an example of the active BPSC strategy, and analyzes three cases of priority vehicles reaching downstream intersection. Firstly, passenger and pedestrian delays at adjacent intersections are calculated under different traffic situations. Secondly, models with the goal of maximizing the reduced total delays are established. Thirdly, three algorithms are used to solve the problem to obtain the optimal signal timing adjustment scheme at upstream intersections. Ultimately, the result shows that the BPSC can effectively reduce pedestrian delays at intersections, protect the rights and interests of pedestrians, reduce the delays of priority vehicles, and maximize the reduced total delay.

Urban Traffic Signal Coordinated Control Optimization with Bus Priority Based on Quantum Genetic Algorithm

2012 ◽  
Vol 433-440 ◽  
pp. 829-834
Author(s):  
Huan Che ◽  
Hai Zhang ◽  
Zheng Lin ◽  
Da Ming Luo ◽  
Jia Qing Wu
Keyword(s):  
Fitness Function ◽  
Coordinated Control ◽  
Traffic Signal ◽  
Urban Traffic ◽  
Signal Control ◽  
Bus Priority ◽  
Quantum Genetic Algorithm ◽  
Traffic Efficiency ◽  
Passing Rate ◽  
No Wait

An optimization algorithm of urban traffic signal coordinated control with bus priority, which is aiming at achieving optimal comprehensive traffic efficiency, is proposed in this paper. Six kinds of key parameters that dominate signal control effects are extracted from abundant factors. Based on these parameters, an advance and flexible coding scheme which can generate detail signal control information in QGA is put forward. Considering travel time, no wait passing rate, crossing delay, green wave effect and other factors, a new fitness function is constructed. Verified by simulations in PARAMICS, the optimized signal control scheme can obviously improve comprehensive regional traffic efficiency.

scholarly journals Single-Point Adaptive Control Method for Urban Mixed Traffic Flow

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Xuelian Liu ◽  
Huazhi Yuan ◽  
Jie Hu ◽  
Xinlong Jiao
Keyword(s):  
Adaptive Control ◽  
Traffic Flow ◽  
Control Method ◽  
Single Point ◽  
Urban Traffic ◽  
Motor Vehicles ◽  
Control Effect ◽  
Traffic System ◽  
Traffic Efficiency ◽  
Urban Mixed Traffic

In urban traffic, motor vehicles, nonmotor vehicles, pedestrians, and other traffic are mixed, which seriously affects the urban traffic efficiency. At the intersections of urban roads especially, the priority setting of various travel modes is crucial to improve the urban traffic efficiency. In the urban hybrid traffic system, the architecture and algorithm flowchart of the single-point adaptive control system for urban hybrid traffic flow are presented. The control effect of this method is verified by VISSIM software. The simulation results show that the traffic efficiency of the priority objects at the intersection is increased by 6.03%, and the overall traffic efficiency is also significantly improved. This method has a certain practical value.

scholarly journals Dynamic multi-objective optimization for mixed traffic flow based on partial least squares prediction model

2019 ◽  
Vol 13 ◽  
pp. 174830261987358
Author(s):  
Juan Chen ◽  
Zhengxuan Xue ◽  
Dongxiao Han
Keyword(s):  
Prediction Model ◽  
Evolutionary Algorithm ◽  
Least Squares ◽  
Traffic Flow ◽  
Partial Least Squares ◽  
Motor Vehicle ◽  
Motor Vehicles ◽  
Traffic Demand ◽  
Multi Objective ◽  
Vehicle Delay

A dynamic multi-objective genetic algorithm based on partial least squares prediction model (DNSGA-II-PLS) is presented in this paper to solve the mix traffic flow multi-objective timing optimization problem with time-varying traffic demand. Take motor vehicle delay, non-motor vehicle delay, and pedestrian delay as objectives to solve the problem. Make comparison with three improved dynamic multi-objective genetic algorithms based on prediction strategy: dynamic multi-objective evolutionary algorithm based on simple prediction (DNSGA-II-PREM), autonomous regression dynamic multi-objective evolutionary algorithm (DNSGA-II-AR), and mutation-based dynamic multi-objective evolutionary algorithm (DNSGA-II-MUT) under four kinds of test functions. The results show that compared with the other three algorithms, the DNSGA-II-PLS algorithm proposed in this paper shows better performance in convergence and distribution, and this algorithm has less complexity. Finally, taking the intersections of Taiping North Road and Zhujiang Road in Nanjing as the research object, the performance of the algorithm is tested under the simulation environment. The results show that compared with the DNSGA-II–AR, which has best performance among three compared algorithms, the proposed DNSGA-II-PLS algorithm can effectively reduce the delay of motor vehicles by 6.7%, non-motor vehicles by –2.8%, and pedestrian waiting time by 20.5%.

Analysis and Thinking of the Current Condition for Traffic Pollution of Urban Roads

2012 ◽  
Vol 178-181 ◽  
pp. 859-863 ◽  
Author(s):  
Lei Li Li ◽  
Sheng Jun Liu ◽  
Han Xu
Keyword(s):  
Motor Vehicle ◽  
Rapid Development ◽  
Road Dust ◽  
Noise Pollution ◽  
Traffic Pollution ◽  
Motor Vehicles ◽  
Primary Methods ◽  
The Road ◽  
Atmospheric Particle ◽  
Tire Friction

With the rapid development of economy in China, there has been a growth in motor vehicles, deteriorating the traffic pollution of roads year by year. The gas pollution, which mainly comes from complete and incomplete combustion of the fuel, includes CO, SO2, NOx, CO2, and VOC. Al, Ca, Fe and Mg and other non-enriched elements in the atmospheric particle originates from the road dust carried by the motor vehicle at the traffic junctions; the noise pollution emerges from the engine and tire friction. The primary methods applied worldwide covers MOBILE, OSPM and MVMS. For the noise pollution, FHWA and RLS90 are used. The roadside landscaping can absorb emissions, accumulate the heavy metal and reduce the dust and noise, which is an effective way to beautify the environment and prevent the pollution.

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