scholarly journals Subdivision of Urban Traffic Area Based on the Combination of Static Zoning and Dynamic Zoning

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Jing Luo ◽  
Qingnian Zhang
Keyword(s):  
Decision Making ◽  
Traffic Flow ◽  
Control Strategy ◽  
Road Network ◽  
Model Verification ◽  
Signal Control ◽  
The Road ◽  
Traffic Area ◽  
Center Point ◽  
Clustering Center

In this paper, the traffic area of subzone division in urban road network is studied and a subzone division method based on the combination of static partition and dynamic partition is proposed. The static partition is carried out for the road network when the traffic flow is in a noncongested state, so as to provide the decision-making basis for the traffic green wave signal control strategy. At the same time, aiming at the road network when the traffic flow is congested, the dynamic partition is carried out on the basis of static partition to provide the decision-making basis for the traffic maximum flow signal control strategy. In view of the fact that it is difficult to determine the clustering center point during the initial division, this method proposes to determine the clustering center point according to the value of nodes of betweenness centrality. In order to solve the problem that it is difficult to collect traffic data, a method for estimating traffic flow density is proposed. In order to solve the problem of normalization of different probability distribution among various parameters, Mahalanobis distance is used as the fusion index of subzone division. Model verification shows that the method is feasible and effective.

scholarly journals Improved Road-Network-Flow Control Strategy Based on Macroscopic Fundamental Diagrams and Queuing Length in Connected-Vehicle Network

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Xiaohui Lin ◽  
Jianmin Xu ◽  
Peiqun Lin ◽  
Chengtao Cao ◽  
Jiahui Liu
Keyword(s):  
Real Time ◽  
Boundary Control ◽  
Control Strategy ◽  
Road Network ◽  
Traffic Signal ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Connected Vehicles ◽  
Boundary Flow ◽  
The Road

Connected-vehicles network provides opportunities and conditions for improving traffic signal control, and macroscopic fundamental diagrams (MFD) can control the road network at the macrolevel effectively. This paper integrated proposed real-time access to the number of mobile vehicles and the maximum road queuing length in the Connected-vehicles network. Moreover, when implementing a simple control strategy to limit the boundary flow of a road network based on MFD, we determined whether the maximum queuing length of each boundary section exceeds the road-safety queuing length in real-time calculations and timely adjusted the road-network influx rate to avoid the overflow phenomenon in the boundary section. We established a road-network microtraffic simulation model in VISSIM software taking a district as the experimental area, determined MFD of the region based on the number of mobile vehicles, and weighted traffic volume of the road network. When the road network was tending to saturate, we implemented a simple control strategy and our algorithm limits the boundary flow. Finally, we compared the traffic signal control indicators with three strategies: (1) no control strategy, (2) boundary control, and (3) boundary control with limiting queue strategy. The results show that our proposed algorithm is better than the other two.

scholarly journals Highway Traffic Accident Influence Area Based on Vehicle Bypass Decision-Making Index

2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Zhenjun Zhu ◽  
Yang Lu ◽  
Jun Zeng ◽  
Hongsheng Chen
Keyword(s):  
Decision Making ◽  
Traffic Flow ◽  
Traffic Accident ◽  
Road Network ◽  
Traffic Accidents ◽  
Highway Traffic ◽  
Selection Probability ◽  
The Road ◽  
Influence Area ◽  
The Impact

In order to reduce the impact of highway traffic accidents on surrounding road networks, accident influence area should be determined reasonably. According to the relationship between vehicle bypass decision-making index and threshold under accident condition, the vehicles’ route choice behavior at upstream of the accident spot can be divided into two types: bypass and nonbypass. Under nonbypass condition, the method of using traffic wave theory was put forward to determine the upstream influence area. Under bypass condition, the total number of bypass vehicles is determined based on bypass decision-making index being greater than bypass threshold. Assignment algorithms based on routes were proposed. Using improved Logit model to get the selection probability and the traffic flow of each route, then traffic flow of surrounding links could be obtained. At last, the road network influenced by the accident could be determined by comparing with the level of service of each link under normal condition. The paper takes Beijing-Kunming highway as an example, and the results show that the road network formed by the influenced links was highway traffic accident influence area. Comparing with the actual survey results, correctness of the calculation method is verified. Therefore, the analytical method based on bypass decision-making is applicable to determining highway accident influence area.

Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network

2022 ◽  
Vol 13 (2) ◽  
pp. 1-25
Author(s):  
Bin Lu ◽  
Xiaoying Gan ◽  
Haiming Jin ◽  
Luoyi Fu ◽  
Xinbing Wang ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Road Network ◽  
Large Scale ◽  
Transportation Systems ◽  
Urban Traffic ◽  
Propagation Mechanism ◽  
Urban Road ◽  
The Road ◽  
Traffic Flow Forecasting ◽  
Gating Mechanism

Urban traffic flow forecasting is a critical issue in intelligent transportation systems. Due to the complexity and uncertainty of urban road conditions, how to capture the dynamic spatiotemporal correlation and make accurate predictions is very challenging. In most of existing works, urban road network is often modeled as a fixed graph based on local proximity. However, such modeling is not sufficient to describe the dynamics of the road network and capture the global contextual information. In this paper, we consider constructing the road network as a dynamic weighted graph through attention mechanism. Furthermore, we propose to seek both spatial neighbors and semantic neighbors to make more connections between road nodes. We propose a novel Spatiotemporal Adaptive Gated Graph Convolution Network ( STAG-GCN ) to predict traffic conditions for several time steps ahead. STAG-GCN mainly consists of two major components: (1) multivariate self-attention Temporal Convolution Network ( TCN ) is utilized to capture local and long-range temporal dependencies across recent, daily-periodic and weekly-periodic observations; (2) mix-hop AG-GCN extracts selective spatial and semantic dependencies within multi-layer stacking through adaptive graph gating mechanism and mix-hop propagation mechanism. The output of different components are weighted fused to generate the final prediction results. Extensive experiments on two real-world large scale urban traffic dataset have verified the effectiveness, and the multi-step forecasting performance of our proposed models outperforms the state-of-the-art baselines.

scholarly journals SCALE-FREE NETWORK THEORY IN STUDYING THE STRUCTURE OF THE ROAD NETWORK IN POLAND

2014 ◽  
Vol 26 (3) ◽  
pp. 235-242 ◽  
Author(s):  
Katarzyna KOCUR-BERA
Keyword(s):  
Statistical Analysis ◽  
Traffic Flow ◽  
Network Theory ◽  
Road Network ◽  
Scale Free Network ◽  
Scale Free ◽  
The Road ◽  
Normal Character ◽  
Free Network ◽  
The Relationship

This paper discusses the issue of statistical analysis of traffic flow in different regions of Poland. Such analysis allows us to identify “valuable (sensitive) areas” whose damage or blockage may provoke considerable disturbances or even a stoppage of traffic flow in the examined road network. The results of the studies indicate that the road network in Poland has the properties of a scale-free network. The distribution of the examined variables does not have a normal character, whereas the relationship between the number of nodes and the number of connections is a power-law feature. 

Coupling Natural Hazard Estimates with Road Network Analysis to Assess Vulnerability and Risk: Case Study of Freetown (Sierra Leone)

2019 ◽  
Vol 2673 (8) ◽  
pp. 11-24
Author(s):  
Andrew Nelson ◽  
Sarah Lindbergh ◽  
Lucy Stephenson ◽  
Jeremy Halpern ◽  
Fatima Arroyo Arroyo ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Sierra Leone ◽  
Road Network ◽  
Natural Hazard ◽  
Transportation Infrastructure ◽  
The Road ◽  
Public Data ◽  
Road Intersections ◽  
Flooding Events

Many of the world’s most disaster-prone cities are also the most difficult to model and plan. Their high vulnerability to natural hazards is often defined by low levels of economic resources, data scarcity, and limited professional expertise. As the frequency and severity of natural disasters threaten to increase with climate change, and as cities sprawl and densify in hazardous areas, better decision-making tools are needed to mitigate the effects of near- and long-term extreme events. We use mostly public data from landslide and flooding events in 2017 in Freetown, Sierra Leone to simulate the events’ impact on transportation infrastructure and continue to simulate alternative high-risk disasters. From this, we propose a replicable framework that combines natural hazard estimates with road network vulnerability analysis for data-scarce environments. Freetown’s most central road intersections and transects are identified, particularly those that are both prone to serviceability loss due to natural hazard and whose disruption would cause the most severe immediate consequences on the entire road supply in terms of connectivity. Variations in possible road use are also tested in areas with potential road improvements, pointing to opportunities to harden infrastructure or reinforce redundancy in strategic transects of the road network. This method furthers network science’s contributions to transportation resilience under hydrometeorological hazard and climate change threats with the goal of informing investments and improving decision-making on transportation infrastructure in data-scarce environments.

Study on Optimization Model of Multiple Depot Vehicle Scheduling in Logistics Distribution of Expressway Service Area

2012 ◽  
Vol 253-255 ◽  
pp. 1486-1491
Author(s):  
Qian Zhou ◽  
Chun Long Xu ◽  
Jun Liu
Keyword(s):  
Decision Making ◽  
Optimization Model ◽  
Road Network ◽  
Ant Colony Algorithm ◽  
Reliability Theory ◽  
Vehicle Scheduling ◽  
Logistics Distribution ◽  
The Road ◽  
Service Areas ◽  
Multiple Depot

Based on the unblocked reliability theory of the road network, combined with the characteristics of the logistics distribution of expressway service areas, the concept of network unblocked reliability on logistics distribution was put forward. Under the reliability analysis, the optimization model of multi objective, multi depot and open vehicle scheduling on logistics distribution of highway service areas was established, and the ant colony algorithm was designed. In the end an example was analyzed to validate the usability of the optimization model by comparing with saving mileage, which demonstrates the established optimization model of multiple depot vehicle scheduling is of a better practical value to guide the optimization decision making of logistics distribution network and to improve the reliability of logistics distribution of expressway service areas.

scholarly journals Signal Control Strategy for Supersaturated Traffic at Urban Road Intersections with a Large Technical Grade Gap

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Baiqun Ding ◽  
Liu Yang ◽  
He Xu ◽  
Yongming He
Keyword(s):  
Control Strategy ◽  
Queue Length ◽  
Control Method ◽  
Signal Control ◽  
Main Road ◽  
Traffic Demand ◽  
The Road ◽  
Capacity Model ◽  
Minor Road ◽  
Remaining Capacity

To reduce the risk of queuing overflow on the urban minor road at the intersection under supersaturation where the capacity of the arterial and minor roads shows extreme disparity, reduce the adverse effects caused by long queues of vehicles on the minor road, and comprehensively balance the multiobjective requirements such as priority of the main road, queuing restrictions, and delay on the minor road, the minor road queue model at the end of red, a road remaining capacity model, and multiparameter coordinated signal control model were established, and a multiobjective genetic algorithm was used to optimize this solution. As an example, the multiparameter coordinated control strategy decreased the delay per vehicle by approximately 17% and the queue length by approximately 30%–50% on the minor road and slightly increased the delay per vehicle at the intersection and the length on the main road queue. This control strategy can make full use of the capacity of the main road to control the queue length on the minor road, effectively reduce the risk of minor road queue overflow blocking local road network traffic operation involved, and comprehensively balance the traffic demand between arterial and minor roads. It provides a reference control method for coping with the transfer of the main traffic contradiction under the oversaturated state of the road intersection with large disparity.

scholarly journals Scattering in remote sensing in the visible and microwave spectral range and in traffic control

2003 ◽  
Vol 1 ◽  
pp. 309-311
Author(s):  
U. Böttger ◽  
R. Kühne ◽  
K.-U. Thiessenhusene
Keyword(s):  
Complex System ◽  
Remote Sensing ◽  
Spectral Range ◽  
Satellite Data ◽  
Traffic Control ◽  
Road Network ◽  
Traffic Simulation ◽  
The Road ◽  
Traffic Area ◽  
Spectral Ranges

Abstract. The treatment of scattering processes in remote sensing for interpretation of satellite data is demonstrated in the visible and microwave spectral range comparing the two spectral ranges. Analogies and distinctions in the treatment of the scattering processes are shown. Based on this cognition an approach for traffic simulation is outlined. Simulating the traffic of a part of a city, a whole city or a larger area in an acceptable time is one of the tasks in recent traffic research. One possible approach is the areal treatment of the road network. That means that single streets are not resolved but are introduced into simulations only by parameters that correspond to a specific traffic area resistance. The aim of this work is to outline such a possibility using experiences obtained from the theory of radiative transport to simulate scattering processes and applying them to the very complex system of traffic simulation.

scholarly journals Application of AHP to Road Selection

2020 ◽  
Vol 9 (2) ◽  
pp. 86 ◽  
Author(s):  
Yuan Han ◽  
Zhonghui Wang ◽  
Xiaomin Lu ◽  
Bowei Hu
Keyword(s):  
Decision Making ◽  
Road Network ◽  
Analytic Hierarchy ◽  
Ahp Model ◽  
The Road ◽  
Points Of Interest ◽  
Adaptive Thresholds ◽  
Contextual Characteristics ◽  
Hierarchy Process ◽  
Contextual Characteristic

The analytic hierarchy process (AHP), a decision-making method, allows the relative prioritization and assessment of alternatives under multiple criteria contexts. This method is also well suited for road selection. The method for road selection based on AHP involves four steps: (i) Points of Interest (POIs), the point-like representations of the facilities and habitations in maps, are used to describe and build the contextual characteristic indicator of roads; (ii) form an AHP model of roads with topological, geometrical, and contextual characteristic indicators to calculate their importance; (iii) select roads based on their importance and the adaptive thresholds of their constituent density partitions; and (iv) maintain the global connectivity of the selected network. The generalized result at a scale of 1:200,000 by AHP-based methods better preserved the structure of the original road network compared with other methods. Our method also gives preference to roads with relatively significant contextual characteristics without interfering with the structure of the road network. Furthermore, the result of our method largely agrees with that of the manual method.

A MODEL FOR THE STUDY OF TRAFFIC FLOW ON THE UKRAINIAN CITIES ROAD NETWORK

2019 ◽  
pp. 30-33
Author(s):  
Liydmila Nagrebelna
Keyword(s):  
Traffic Flow ◽  
Road Network ◽  
Operating Conditions ◽  
Negative Effects ◽  
Efficient Operation ◽  
Urban Road ◽  
The Road ◽  
Effective Functioning ◽  
Organization And Management ◽  
The City

The problems of efficient functioning of the city road network are outlined. The method by which it is possible to improve the functioning of the street-road network of Ukrainian cities is presented. Improving the efficiency of the urban road network is to use all the resources of this network to create the necessary languages for its reliable and efficient operation and reduce the negative effects of motorization. It is proved that in order to ensure the effective functioning of the road network it is necessary to carry out a set of measures for the organization and management of traffic. The purpose of this article is to identify factors that affect the deterioration of operating conditions; identify the conditions for the effective functioning of the road network; the choice of a model for the effective functioning of the street-road network of Ukrainian cities is grounded. Because the management impact on traffic flow can be estimated on the basis of the developed models. Keywords: road network, efficient operation, methods, conditions.

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