scholarly journals Coordinated Control Model of Main-Signal and Pre-Signal for Intersections with Dynamic Waiting Lanes

2018 ◽  
Vol 10 (8) ◽  
pp. 2849 ◽  
Author(s):  
Chen Zhao ◽  
Yulin Chang ◽  
Peng Zhang
Keyword(s):  
Traffic Control ◽  
Control Method ◽  
Coordinated Control ◽  
Control Model ◽  
Signal Timing ◽  
Average Delay ◽  
Before And After ◽  
Traffic Volumes ◽  
Vehicle Delay

In order to alleviate the problem of the oversaturation of intersections, a traffic control method using a main-signal and pre-signals to periodically control the direction of dynamic waiting lanes was proposed in this paper. Based on the research on vehicle delay at intersections with dynamic waiting lanes and constraint relationships among a set of timing elements of the main-signal and pre-signal, a coordinated control model of a main-signal and pre-signal was built to minimize the average delay. Finally, a case study was performed to show that the proposed model is feasible. The objective optimization was performed by using a genetic algorithm to determine the main-signal and pre-signal timing scheme of the case study intersection, and then the average delay before and after installing dynamic waiting lanes was calculated and analyzed. The proposed method was found to be effective in reducing the intersection delay by 31.8% compared with the present situation of the intersection. Subsequently, the traffic volumes in the directions with dynamic waiting lanes installed were changed. It was demonstrated that with increasing traffic volumes, the effectiveness of the model to reduce intersection delay would be significant.

MARITIME TRAFFIC EXTERNALITIES IN THE GULF OF FINLAND UNTIL 2030

Transport ◽  
2012 ◽  
Vol 27 (1) ◽  
pp. 92-101 ◽  
Author(s):  
Juha Kalli ◽  
Reetta Saikku ◽  
Sari Repka ◽  
Ulla Tapaninen
Keyword(s):  
Traffic Control ◽  
Control Method ◽  
Gulf Of Finland ◽  
Nox Emissions ◽  
Calculation Algorithm ◽  
Maritime Traffic ◽  
Traffic Volumes ◽  
General Cargo ◽  
The Impact ◽  
The Gulf Of Finland

Maritime traffic in the Gulf of Finland has grown remarkably during the 2000s. This increase has an impact on the environment and exposes it to risks. These problems should be controlled to guarantee sustainable development and the welfare of inhabitants in the area. A method for estimating the impact of ship-originated air emissions on the environment is to calculate their environmental externalities which are a part of the total marginal social costs of shipping. The internalization of externalities as a control method of transport would comply with the polluter pays principle and act as a fair traffic control method between transport modes. In this paper, we present the results of CO2, NOx, SOx and PM emissions originating from ships and their externalities in the Gulf of Finland up to 2015. The calculation algorithm developed for this study produces emission estimates per annum and converts them into externalities. We focus on passenger, tanker, general cargo, Ro-Ro, container and bulk vessel ship types representing almost 90% of the total NOx emissions of shipping in the area. Scenario modelling is a method for estimating the effects of forthcoming or planned regulations and helps with targeting emission abatement actions to maximize their profit. The results of the calculation algorithm show that externalities can be used as a consultative tool for transport-related decision-making. The costs are given at the price levels of the year 2000. The total external cost of ship-originated CO2, NOx, SOx and PM emissions in the Gulf of Finland was almost €175 million in 2007. Due to increased traffic volumes, these costs will increase to nearly €214 million in 2015. The majority of externalities are produced by CO2 emissions. If we deduct CO2 externalities from the results, we get total externalities of €57 million in 2007. Following eight years (2015), externalities would be 28% or €41 million lower. This would be as a result of regulation reducing the sulphur content of marine fuels. Regulating SOx and PM emissions will slow down the increasing trend of shipborne externalities in the Gulf of Finland; however, the externalities are still growing. In order to achieve a downward trend, the two major compounds resulting in externalities must be reduced, which requires strict actions to lower shipborne CO2 and NOx emissions.

scholarly journals Design of real-time actuated control system for modern tram at arterial intersections based on logic rules

2018 ◽  
Vol 10 (12) ◽  
pp. 168781401881542
Author(s):  
Yun Li ◽  
Qiyan Cai ◽  
Yujie Xu ◽  
Weihua Shi ◽  
Yibao Chen
Keyword(s):  
Control Strategy ◽  
Control Method ◽  
Control Model ◽  
Simulation Software ◽  
Signal Control ◽  
Average Delay ◽  
Absolute Priority ◽  
Control Scheme ◽  
Logic Rule ◽  
Trigger Detector

This article is on the purpose of developing an isolated tram signal priority control strategy based on logic rule for modern tram system. The designed method is presented with features that can ensure the intersection operates in a proper manner on the premise of tram priority and avoid vehicle queue overflow when the tram passes. In this study, the new method description consists of two parts: (1) the detector locations are determined, which include the upstream detector, the upstream trigger detector, the downstream detector, and the queuing detector upon entry approach to the intersection; (2) the corresponding priority logical algorithm for signal control is designed. The proposed method is experimentally examined in a tram intersection in Huaian city, China. In the process of the experiment, the detector layout scheme and optimal priority control model are simulated and verified using the VisVAP module of the Vissim simulation software. In the experimental results, the designed scheme significantly decreases average delay than the fixed timing signal control method, while it also can prevent the vehicle queue from overflowing compared to the absolute priority actuated control scheme.

Optimal Methods of Traffic Control Systems for Pedestrians Crossing Signalized Intersection under Urban Overpasses

2014 ◽  
Vol 543-547 ◽  
pp. 1237-1241
Author(s):  
Bo Hang Liu ◽  
Xiao Xia Liu ◽  
Wen Sheng Zhang
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Control Method ◽  
Signalized Intersection ◽  
Signal Control ◽  
Two Phase ◽  
Control Approach ◽  
Intersection Signal Control ◽  
Vehicle Delay ◽  
Special Case

The vehicle delay is a key problem in intersection signal control system. Because there is enough security space for pedestrians under urban overpasses, the traffic control approach of pedestrians crossing signalized intersection may be further improved. To the above problems, this paper shows two-phase control method in pedestrians crossing signalized intersection under urban overpasses. According to this method, the vehicle delay affected by pedestrians crossing the signalized intersection is studied. Meanwhile, the variation trend of vehicle delay under different road widths are also analyzed. At last, an overpass is conducted for example analysis, and the result shows that this approach is practical and feasible for the special case of pedestrians crossing signal control intersection under urban overpasses, it can effectively reduce the pedestrian and vehicle delay.

Research on Calculating the Parameters of Signal Timing for TSP Based on Enumeration Method

2013 ◽  
Vol 756-759 ◽  
pp. 3094-3098
Author(s):  
Tian Hong Gu ◽  
Hui Jian Cao
Keyword(s):  
Communication Technology ◽  
Delay Time ◽  
Traffic Signal Control ◽  
Signal Timing ◽  
Transit Signal Priority ◽  
Average Delay ◽  
Real Time Traffic ◽  
Simulation Results ◽  
The Impact

It is of importance to calculate the parameters of signal timing for TSP (Transit Signal Priority). However, most studies computing the delay are provided based on formula of triangle area. With communication technology developing precisely calculating the delay time of buses can be achieved. The kernel algorithm of TSP still has room for improvement. In this paper, the algorithmic flow of the most of functions is presented based on Enumeration Method.Meanwhile the study uses the VISSIM simulation model to evaluate the impact of a number of alternative priority strategies on both the prioritized buses and general traffic. The priority logic that is considered in the study provides signal timing parameters within a real-time traffic signal control environment. A case study was conducted to validate the model results. Simulation results shows that this method effectively reduces average delay time of the travelers.

scholarly journals Multi-Agent Based Traffic Signal Optimization under Fully Actuated Control

2019 ◽  
Vol 8 (11) ◽  
pp. 2255-2262
Keyword(s):  
Traffic Control ◽  
Control Method ◽  
Control Model ◽  
Traffic Signal ◽  
Signal Control ◽  
Light Phase ◽  
Agent Based ◽  
Effective Manner ◽  
Multi Agent ◽  
On The Road

This paper presents a multi-agent based distributed traffic control model to optimize the traffic signal for multiple intersections. Previous works in the area of traffic signal control suffer from a number of inadequacies, including the use of fixed cycle length, centralized mode of operations and dependency on historical data. Considering these, the aim of this work is to control the traffic signal timings by adjusting the phase sequence in order to minimize the delay in traffic at the intersections. To model the traffic network, a three-tier multi-agent system has been adopted in distributed mode. In addition, a fully actuated signal control algorithm is designed and it utilizes state-space equations to formulate the queue length at the green light phase and red light phase. The proposed model is simulated with SUMO simulator and a comparative analysis has been made between adaptive control method, multi-agent method based on collective learning and multi-agent based fully actuated control method on a similar platform. The results spectacle the proposed traffic control model outperforms that of other existing control methods in all condition; hence it can be deployed to control the tremendous traffic on the road network and to optimize the traffic signal in more effective manner.

Modeling and control of variable approach lanes on an arterial road: a case study of Dalian

2018 ◽  
Vol 45 (11) ◽  
pp. 986-1003 ◽  
Author(s):  
Ronghan Yao ◽  
Xiaotong Zhang ◽  
Na Wu ◽  
Xianmin Song
Keyword(s):  
Traffic Congestion ◽  
Control Method ◽  
Time Of Day ◽  
Total Delay ◽  
Average Delay ◽  
Left Turn ◽  
Modeling And Control ◽  
Arterial Road ◽  
Variable Approach

Unbalanced directional traffic, which often exists at intersection approaches, is an important factor to induce traffic congestion on urban streets. Considering the settings of variable approach lanes, the presence of left-turn bays, and a variety of vehicle categories on an arterial road, an optimization model that minimizes the total delay is formulated and a control method that coordinates a variable sign and the corresponding signal group is put forward. To design the signal control scenarios with time of day, the procedure for using the proposed methodology is also presented in practice. To verify the given methodology, a case study is implemented using the field data and the four scenarios. The results reveal that the new methodology can better respond to the time-varying traffic flow at intersection approaches, and the provision of variable approach lanes and left-turn bays are helpful to reduce the average delay and enhance the average speed.

scholarly journals A Multiroute Signal Control Model considering Coordination Rate of Green Bandwidth

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jiao Yao ◽  
Qingyun Tang ◽  
Pincheng Wang
Keyword(s):  
Road Network ◽  
Control Model ◽  
Mixed Integer ◽  
Signal Timing ◽  
Wave Band ◽  
Signal Coordination ◽  
Integer Linear Programming Problem ◽  
Optimal Coordination ◽  
Phase Coordination

Oriented to characteristics of the inflow and outflow of routes in urban road network, we modified the classical fundamental green wave bandwidth model, in which separate turning green wave band is available for traffic flow from subarterials merging into an arterial, and this variable green wave band can be more flexible to service the commuting traffic. Moreover, with the analysis of the mapping characteristics of the phase coordination rate, the concept of the coordination rate of green wave bandwidth was proposed, with which as the objective function, a multiroute signal coordination control model was established, and this model is a mixed integer linear programming problem with the overall optimal coordination rate of inbound, outbound, and turning movement as the objective. Finally, a case study was given with road network in Suzhou Industrial Park, Jiangsu Province, China. From the simulation results, we can conclude that the coordinated distribution of the model proposed in this study is more stable; the fluctuation range is 0.09, which is less than that of optimization scheme in classical signal timing software Synchro, which is 0.33; and the total route delay can also be reduced by 15% compared to the current situation and 3.3% compared to Synchro optimization solution.

The Signal Timing Method for Roundabout Based on the Constraint of Left-Turn Queue Length

2014 ◽  
Vol 905 ◽  
pp. 580-584
Author(s):  
Tian Zi Chen ◽  
Zhi Zhou Wu
Keyword(s):  
Queue Length ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Signal Control ◽  
Signal Timing ◽  
Left Turn ◽  
Traffic Efficiency ◽  
Proposed Model ◽  
Before And After ◽  
Vehicle Delay

Scientific and reasonable signal control would effectively improve the traffic efficiency and safety of roundabout. In this paper, a simplified signal timing method based on the constraint of left-turn queue length was investigated. Taking ZhuQue Roundabout for example, this paper utilized a simulation model based on VISSIM and adopted evaluation index system of capacity, saturation and average vehicle delay. By comparing the results of before and after the new timing, feasibility and effectiveness of the proposed model has been verified.

scholarly journals Research on Key Technology of Signal Control Subarea Partition Based on Correlation Degree Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Huihui Lan ◽  
Xianyu Wu
Keyword(s):  
Traffic Control ◽  
Coordinated Control ◽  
Optimization Method ◽  
Analysis Method ◽  
Control Effect ◽  
Average Delay ◽  
Traffic Efficiency ◽  
Correlation Degree ◽  
Correlation Analysis Method ◽  
Division Model

In order to accurately divide the traffic control subarea and improve the regional coordination control effect, this paper studies the key technologies of traffic control subarea division from the influence of the discrete characteristics of the fleet on the coordinated control. Correlation analysis method and regression analysis method are used to construct the correlation model of adjacent intersections. The principle and process of transportation subarea division are designed by using analytic hierarchy process, and a new traffic subarea division model is proposed. Taking Gulou Street in Miyun District of Beijing as an example, combined with the green wave coordination optimization method, the new model was applied and simulated in SimTraffic. The simulation results show that the average delay of the intersection is reduced by 21.4%, the total number of stops is reduced by 9.62%, and the travel time is shortened by 8.75%. The new intersection degree model and the coordinated control scheme obtained by the traffic subarea division model make the highest traffic efficiency. That is, to verify the scientific research method of this paper, the research results are reliable and the practical application value is high.

scholarly journals Signal Timing Optimization Model Based on Bus Priority

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 325 ◽  
Author(s):  
Xu Sun ◽  
Kun Lin ◽  
Pengpeng Jiao ◽  
Huapu Lu
Keyword(s):  
Optimization Model ◽  
Optimization Problem ◽  
Programming Model ◽  
Computing Methods ◽  
Signal Timing ◽  
Bus Priority ◽  
De Algorithm ◽  
Vehicle Delay ◽  
Beijing China

This paper focuses on the optimization problem of a signal timing design based on the concept of bus priority. This optimization problem is formulated in the form of a bi-level programming model that minimizes average passenger delay at intersections and vehicle delay in lanes simultaneously. A solution framework that implements the differential evolution (DE) algorithm is developed to efficiently solve the model. A case study based on a real-world intersection in Beijing, China, is implemented to test the efficiency and applicability of the proposed modeling and computing methods. The experiment’s result shows that the optimization model can not only significantly improve the priority capacity of the buses at the intersection but also reduce the adverse impact of bus-priority approaches on the private vehicles for the intersections.

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