scholarly journals An Overlapping Phase Approach to Optimize Bus Signal Priority Control under Two-Way Signal Coordination on Urban Arterials

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zijun Liang ◽  
Yun Xiao ◽  
Yun-Pang Flötteröd
Keyword(s):  
Influencing Factors ◽  
Practical Significance ◽  
Signal Control ◽  
Volume Distribution ◽  
Control Logic ◽  
Method Performance ◽  
Signal Coordination ◽  
Traffic Efficiency ◽  
Bus Signal Priority ◽  
Urban Arterials

With the consideration of the uneven traffic volume distribution at intersections on urban arterials, this paper aims to minimize the overall passenger delay (buses and private vehicles) at intersections and identify the applicable conditions of the proposed method with field data. The overlapping phase-based signal control logic and the bus priority control algorithm under two-way signal coordination on arterial roads are proposed. The vehicular capacities and occupancies for buses and passenger cars are considered in the evaluation of the method performance. A field test was carried out at two major intersections on an arterial road in Hefei, China. With the test data, the proposed method is examined and the possible influencing factors are analyzed for identifying the corresponding applicable conditions. The analysis result shows that the application of the overlapping phase helps to provide a relatively flexible signal control for the varying traffic demands at intersections. Compared to the conventional phase, it isof more practical significance to consider overlapping phase and apply bussignal priority control under two-way signal coordination according to the condition of uneven traffic volumedistribution at intersections on urban arterials. The proposed method can effectively decrease the total passenger delay at the intersections on urban arterials under certain applicable conditions. The possible factors influencing the method applicability are identified as well. It is verified that bus signal priority control under the two-way signal coordination, based on overlapping phases, is more conducive to improving traffic efficiency on urban arterials. Regarding the influencing factors and the applicability of the proposed method, the results show that not all situations are conducive to decreasing passenger delay at intersections. The proposed method should be applied under certain applicable conditions and principles in order to efficiently and effectively improve the traffic efficiency on arterial roads.

X3D-Based Robot Kinematics Simulation

2015 ◽  
Vol 7 (1) ◽  
pp. 46-56
Author(s):  
Meng XianHui ◽  
Yuan Chong
Keyword(s):  
Artificial Intelligence ◽  
Mechanism Design ◽  
Industrial Robot ◽  
Virtual Prototype ◽  
Practical Significance ◽  
Robot Kinematics ◽  
Prototype Model ◽  
Control Logic ◽  
Robot System ◽  
Kinematics Simulation

This paper introduces the related technology in the design of robot virtual prototype. Research is mainly focused on the virtual prototype of the mechanism design, kinematics simulation, control logic and main problems of prototype performance analysis, and try to use X3D technology to realize virtual prototype model of the robot. It is verifies the effectiveness of X3D technology in robot virtual prototype design. The key to realize the robot mechanism design, kinematics simulation, several aspects such as the logic control. But the design of the robot system is a comprehensive mechanical mechanisms, kinematics, dynamics, graphics, artificial intelligence, concurrent engineering, and simulation project of multiple disciplines such as advanced manufacturing technology. The design of the robot system includes dynamic analysis, static analysis, speed, trajectory control, sensor fusion, artificial intelligence analysis, and other technology. The comprehensive realization of multidisciplinary various restrictive factors is to achieve a feasible, effective and ideal robot virtual prototype model of the key problems. Further use X3D technology to add various related techniques to achieve X3D virtual prototype model, the design of robot system, the development of industrial robot has important practical significance.

Studies on the Technology and Application of Transit Signal Priority on Exclusive Line

2015 ◽  
Vol 743 ◽  
pp. 774-779
Author(s):  
Q.L. Wang
Keyword(s):  
Stopping Times ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Transit Signal Priority ◽  
Bus Priority ◽  
Average Delay ◽  
Average Speed ◽  
Traffic Jam ◽  
Bus Signal Priority ◽  
Key Features

Bus priority is the effective methods of reducing traffic jam in large and medium-sized cities. Application and assessment of bus signal priority is studied, bus signal priority whole scheme is put forward based on GPS pointing and intelligent dispatch by investigating the situation of No.36 bus waiting time at stops and intersections. Based on Zigbee active request bus signal priority, dataflow process under local request and central request is analyzed, the principle of bus signal priority on balanced distance headway is put forward, and adjustment of key features parameters realized combining with SCATS traffic signal control system. The application assessment shows that, there are average 651 priority requests and 286 priority buses every day, priority efficiency is 43.9%.The average speed of No.36 bus increased 15.8%, the delay time reduced 13.2%, the stopping times reduced 27%, the twice stop situation at intersections basically disappeared, average delay at each intersection increased 3%.

Dynamic Right-of-Way for Transit Vehicles: Integrated Modeling Approach for Optimizing Signal Control on Mixed Traffic Arterials

2000 ◽  
Vol 1731 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Peter A. Duerr
Keyword(s):  
Control System ◽  
Traffic Flow ◽  
Public Transit ◽  
Network Control ◽  
Signal Control ◽  
Signal Coordination ◽  
Right Of Way ◽  
Control Schemes ◽  
Road Space ◽  
Online Measurements

Public transit and general traffic on many urban arterials are controlled by the same set of signals and must compete for shared road space. In these situations, transit vehicles typically face considerable delays because their dwell times at transit stops remove them from the coordinated green wave for general traffic flow. Although existing control systems allow for local adjustments of signal timings to provide transit priority, these short-term actions often contradict the network control scheme and may preclude a priority scheme or significantly disrupt traffic flow. A new concept for a corridor control system is introduced—the dynamic right-of-way, which serves the demands of public transit and general traffic using an integrated model for evaluation and optimization. The control system is intended to ( a) reduce critical interferences between both modes of transport by dynamically controlling inflow and outflow for all network links, ( b) provide a green signal whenever a transit vehicle approaches an intersection, and ( c) minimize general traffic disruption by maintaining overall signal coordination. Through linking an event-based simulator with a genetic algorithm-based optimization routine, delay-minimizing multicycle signal control schemes are calculated. In offline experiments, the potential for achieving substantial reductions in delays is demonstrated. Finally, a method is presented by which these control schemes are implemented and adjusted dynamically, based on online measurements and a control modification function derived from a neural network model.

scholarly journals Spatio-Temporal Comprehensive Measurements of Chinese Citizens’ Health Levels and Associated Influencing Factors

Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 231 ◽  
Author(s):  
Chenyu Lu ◽  
Shulei Jin ◽  
Xianglong Tang ◽  
Chengpeng Lu ◽  
Hengji Li ◽  
...  
Keyword(s):  
Health Status ◽  
Influencing Factors ◽  
Spatial Clustering ◽  
Temporal Stability ◽  
Spatial Differentiation ◽  
Entropy Method ◽  
Practical Significance ◽  
Measurement Models ◽  
Spatio Temporal ◽  
Urbanization Rate

Health is the basis of a good life and a guarantee of a high quality of life. Furthermore, it is a symbol of social development and progress. How to further improve the health levels of citizens and reduce regional differences in citizens’ health status has become a research topic of great interest that is attracting attention globally. This study takes 31 provinces (municipalities and autonomous regions) of China as the research object. Through using GIS (Geographic Information System) technology, the entropy method, spatial autocorrelation, stepwise regression, and other quantitative analysis methods, measurement models and index systems are developed in order to perform an analysis of the spatio-temporal comprehensive measurements of Chinese citizens’ health levels. Furthermore, the associated influencing factors are analyzed. It has important theoretical and practical significance. The conclusions are as follows: (1) Between 2002 and 2018, the overall health levels of Chinese citizens have generally exhibited an upward trend. Moreover, for most provinces, the health levels of their citizens have improved dramatically, although some provinces, such as Tianjin and Henan, showed a fluctuating downward trend, suggesting that the health levels of citizens in these regions displayed a tendency to deteriorate. (2) The health levels of citizens from China’s various provinces showed clear spatial distribution characteristics of clustering, as well as an obvious spatial dependence and spatial heterogeneity. As time goes by, the degree of spatial clustering with regard to citizens’ health levels tends to weaken. The health levels of Chinese citizens have developed a certain temporal stability, the overall health status of Chinese citizens shows a spatial differentiation of a northeast–southwest distribution pattern. (3) The average years of education and urbanization rate have a significant positive effect on the improvement of citizens’ health levels. The increase of average years of education and urbanization rate can promote the per capita income, which certainly could help improve citizens’ health status. The Engel coefficient, urban–rural income ratio, and amount of wastewater discharge all pose a significant negative effect on the improvement of citizens’ health levels, these three factors have played important roles in hindering the improvements of citizen health.

A computer approach to finding an optimal log landing location and analyzing influencing factors for ground-based timber harvesting

2007 ◽  
Vol 37 (2) ◽  
pp. 276-292 ◽  
Author(s):  
Marco Contreras ◽  
Woodam Chung
Keyword(s):  
Influencing Factors ◽  
Road Construction ◽  
Timber Harvesting ◽  
Volume Distribution ◽  
Forest Operations ◽  
Operations Planning ◽  
Factors Influencing ◽  
Gis Data ◽  
Harvest Volume ◽  
Design Factors

Locating a log landing is an important task in forest operations planning. Several methods have been developed to find an optimal landing location and compute a mean skidding distance, but they simplify harvest unit attributes and do not simultaneously consider multiple design factors influencing optimal landing locations. In this study, we introduce a computerized model developed to determine the optimal landing location for ground-based timber harvesting. Using raster-based GIS data, the model finds skid trails from stump to each of candidate landings and selects the best landing location that minimizes total skidding and spur road costs. The model is applied to several hypothetical harvest units with different terrain and harvest volume attributes to analyze the effects of design factors influencing optimal landing locations. Unit boundary shapes, volume distribution, the presence of obstacles, terrain conditions, and spur road construction are considered as influencing design factors.

scholarly journals Traffic Efficiency Evaluation of Elliptical Roundabout Compared with Modern and Turbo Roundabouts Considering Traffic Signal Control

2017 ◽  
Vol 29 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Hadi Hatami ◽  
Iman Aghayan
Keyword(s):  
Unsaturated Flow ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Speed Limit ◽  
Efficiency Evaluation ◽  
Flow Conditions ◽  
Negative Effects ◽  
Traffic Efficiency ◽  
Central Island ◽  
Positive Effect

This paper compared the performance of elliptical roundabout with turbo and modern roundabouts. It considers the effects of increasing the central island radius and speed limit on delay and capacity. Three types of roundabouts (modern, turbo and elliptical roundabouts) with different numbers of lanes (single lane, two-lane and three-lane) were designed. Unsignalized and signalized controls were applied for these roundabouts. The robustness of the designed roundabouts was investigated for saturated and unsaturated flow conditions. Based on the obtained results, increasing the central island radius had both positive and negative effects on delay and capacity. However, a positive effect on these variables was observed in all roundabouts when increasing the speed limit. In unsignalized and signalized control under unsaturated flow conditions, a modern roundabout had lower delay time than an elliptical roundabout. Moreover, in saturated flow, the elliptical roundabout had the best performance in terms of delay. Overall, in comparison with the turbo roundabouts, modern and elliptical roundabouts had the highest capacities in unsignalized and signalized controls. This study can provide useful information for engineers who decide to design a roundabout.

scholarly journals A SCI Analysis Model: Research on Influencing Factors of Local E-Government Responsiveness in China

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shaoqing Tian ◽  
Rongrong He ◽  
Chongli Huang ◽  
Qiong Feng ◽  
Fan Jiang
Keyword(s):  
Influencing Factors ◽  
Local Governments ◽  
Field Experiments ◽  
Interaction Analysis ◽  
Response Probability ◽  
Practical Significance ◽  
Analysis Model ◽  
Response Level ◽  
Government Websites ◽  
Government Responsiveness

In order to explore the influencing factors of the e-government responsiveness in China, the System-Competition-Interaction analysis model was proposed to reflect the ability of e-government to respond to citizens’ demands. 960 pieces of information were collected from 480 local e-government websites in China, and field experiments were conducted on how local governments responded to citizens’ demands. The results show that there are regional differences in e-government responsiveness in China. The response probability of Northeast China is the lowest, and that of western region is the slowest. The response system and neighborhood effect are the core elements that affect e-government responsiveness. The interaction demands of citizens can not significantly affect government responsiveness. According to the research results, the practical enlightenment is that the future should change from “system-driven response” and “competition-driven response” to “citizen-driven response,” which is of a certain practical significance for improving the response level of e-government of local governments in China.

scholarly journals Application of Multi-Agent Deep Reinforcement Learning to Optimize Real-World Traffic Signal Controls

2021 ◽  
Author(s):  
Maxim Friesen ◽  
Tian Tan ◽  
Jürgen Jasperneite ◽  
Jie Wang
Keyword(s):  
Reinforcement Learning ◽  
Real World ◽  
Traffic Congestion ◽  
Traffic Signal ◽  
Traffic Model ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Control Logic ◽  
Rule Based ◽  
Multi Agent

Increasing traffic congestion leads to significant costs associated by additional travel delays, whereby poorly configured signaled intersections are a common bottleneck and root cause. Traditional traffic signal control (TSC) systems employ rule-based or heuristic methods to decide signal timings, while adaptive TSC solutions utilize a traffic-actuated control logic to increase their adaptability to real-time traffic changes. However, such systems are expensive to deploy and are often not flexible enough to adequately adapt to the volatility of today's traffic dynamics. More recently, this problem became a frontier topic in the domain of deep reinforcement learning (DRL) and enabled the development of multi-agent DRL approaches that could operate in environments with several agents present, such as traffic systems with multiple signaled intersections. However, most of these proposed approaches were validated using artificial traffic grids. This paper therefore presents a case study, where real-world traffic data from the town of Lemgo in Germany is used to create a realistic road model within VISSIM. A multi-agent DRL setup, comprising multiple independent deep Q-networks, is applied to the simulated traffic network. Traditional rule-based signal controls, currently employed in the real world at the studied intersections, are integrated in the traffic model with LISA+ and serve as a performance baseline. Our performance evaluation indicates a significant reduction of traffic congestion when using the RL-based signal control policy over the conventional TSC approach in LISA+. Consequently, this paper reinforces the applicability of RL concepts in the domain of TSC engineering by employing a highly realistic traffic model.

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