Lane-Based Road Network Model and its Application in Simulation Road Network Modeling

2012 ◽  
Vol 253-255 ◽  
pp. 1351-1355
Author(s):  
Min Huang ◽  
Ming Lei Rao ◽  
Min Li ◽  
Zhong Ming Niu
Keyword(s):  
Network Model ◽  
Road Network ◽  
Intelligent Transportation System ◽  
Network Modeling ◽  
Basic Unit ◽  
Traffic Network ◽  
The Road ◽  
Application Fields ◽  
Traffic Organization ◽  
Lane Based

Traffic road network is one of the fundamental components in Intelligent Transportation System (ITS). This paper analyses the requirement for traffic road network in ITS, and constructs a lane-based road network model. The model which describes traffic network from different levels is composed of 5 kinds of elements: link, node, arc, lane and lane connector. In level-1, the basic unit of the model is link or arc, which represents the road section with the constant traffic organization. That means the number of lanes, the attributes of lane and the topological relationship between lanes in link or arc are constant. In level-2, lane and lane connector give the detail information of the network based on arcs. This model can support various research and application fields in ITS. Finally, we take the network modeling in traffic simulation as an example. The simulation traffic network in TransModeler is extracted automatically from the traffic network database that is constructed on the lane-based network model.

A Simplified Real-Time Road Network Model Considering Intersection Delay and its Application on Vehicle Navigation

2011 ◽  
Vol 58-60 ◽  
pp. 1959-1965 ◽  
Author(s):  
Zheng Yu Zhu ◽  
Wei Liu ◽  
Lin Liu ◽  
Ming Cui ◽  
Jin Yan Li
Keyword(s):  
Real Time ◽  
Network Model ◽  
Road Network ◽  
Intelligent Transportation System ◽  
Optimal Path ◽  
Network Models ◽  
Traffic Information ◽  
Vehicle Navigation ◽  
Traffic Data ◽  
New Model

The complexity of a real road network structure of a city and the variability of its real traffic information make a city’s intelligent transportation system (ITS) hard to meet the needs of the city’s vehicle navigation. This paper has proposed a simplified real-time road network model which can take into account the influence of intersection delay on the guidance for vehicles but avoid the calculation of intersection delay and troublesome collection of a city’s traffic data. Based on the new model, a navigation system has been presented, which can plan a dynamic optimal path for a vehicle according to the real-time traffic data received periodically from the city’s traffic center. A simulated experiment has been given. Compared with previous real-time road network models, the new model is much simpler and more effective on the calculation of vehicle navigation.

scholarly journals Traffic Network Modeling and Extended Max-Pressure Traffic Control Strategy Based on Granular Computing Theory

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
ShenXue Hao ◽  
LiCai Yang
Keyword(s):  
Network Model ◽  
Rough Set ◽  
Control Strategy ◽  
Traffic Control ◽  
Granular Computing ◽  
Rough Set Theory ◽  
Network Modeling ◽  
Urban Traffic ◽  
Traffic Network ◽  
Human Thinking

Reasonable traffic network model and flexible traffic control strategy play important roles in improving the urban traffic control efficiency. Introducing granular computing theory into traffic network modeling and traffic control is a useful attempt, since granular computing is closer to the human thinking in solving problems. In this paper, the traffic elements are depicted using S-rough set to achieve the granulation partition of traffic network. Four layers are partitioned in the proposed hierarchical multigranularity traffic network model, such as vehicle layer, platoon layer, segment and intersection layer, and subregion layer. Each traffic granule is represented in rough representation form, and the dynamic characteristics are described using the elementary transfer operations based on S-rough set theory. As an application on the proposed traffic network model, an extended max-pressure traffic control strategy is applied on the platoon and segment and intersection layer. Simulation results illustrate that the proposed traffic network model and traffic control strategy achieve better performance.

scholarly journals The solving of optimizing the structure of a transport node problem by the fuzzy set method

2021 ◽  
Vol 341 ◽  
pp. 00020
Author(s):  
Liliya Kushchenko ◽  
Sergey Kushchenko
Keyword(s):  
Road Network ◽  
Road Traffic ◽  
Accident Rate ◽  
Capital Costs ◽  
The Road ◽  
Road Capacity ◽  
On The Road ◽  
Technical And Economic Indicators ◽  
Traffic Organization ◽  
Node Problem

One of the main tasks in the road traffic organization is to create fast, convenient and safe traffic on the road network. For this purpose, the main factors influencing the technical and economic indicators for the construction of intersections of various complexity are determined [1, 2]. These include: capital costs, taking into account reconstruction and installation; the area of the territory for the intersection device; the degree of danger of the intersection; maintenance costs; accident rate of the site; road capacity; impact on the environmental situation of the environment.

scholarly journals Regional Boundary Control of Traffic Network Based on MFD and FR-PID

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xin Yang ◽  
Juncheng Chen ◽  
Mantun Yan ◽  
Zhao He ◽  
Ziyan Qin ◽  
...  
Keyword(s):  
Boundary Control ◽  
Traffic Safety ◽  
Pid Control ◽  
Traffic Congestion ◽  
Road Network ◽  
Traffic Accidents ◽  
Urban Traffic ◽  
Traffic Network ◽  
The Road ◽  
Regional Boundary

In recent years, urban traffic congestion has become more serious and the capacity of roads has declined, resulting in frequent traffic accidents. In order to effectively alleviate the traffic congestion of the regional road network, aiming at the problem of lack of accurate OD data of the road network, a regional boundary control method of the traffic network based on fuzzy RBF neural network PID (FR-PID) is proposed by combining the theory of macroscopic fundamental diagram (MFD). Firstly, based on the traffic survey, the simulation model of the study area is built, and the basic data such as the traffic flow and the time occupation rate of each road section are obtained. Secondly, the simulation data are used to test the existence of MFD in the road network, and the controlled area is defined. Then, the vehicle change model of the road network area is established. Then, in view of the problem of poor adaptive ability of traditional PID control, the FR-PID control structure is designed. Finally, an example is verified by VISSIM software. In the simulation, different control methods are used for comparison and verification, and the simulation results are analyzed. The results show that the control effect of the proposed method is better than that of the traditional method, and the regional average accumulative vehicle number, regional average completed volume, regional accumulative delays, and total vehicle travel time are optimized by 28.21%, 41.19%, 27.06%, and 32.73%, respectively. The research results can provide reference for the management of urban congestion, thereby reducing the number of traffic accidents and improving urban traffic safety.

scholarly journals Topological Characteristics and Vulnerability Analysis of Rural Traffic Network

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Xia Zhu ◽  
Weidong Song ◽  
Lin Gao
Keyword(s):  
Complex Network ◽  
Network Model ◽  
Network Models ◽  
Mapping Method ◽  
Traffic Network ◽  
Complex Network Theory ◽  
The Road ◽  
Topological Features ◽  
Attack Patterns ◽  
Road Mapping

Rural traffic network (RTN), as a complex network, plays a significant role in the field of resisting natural disasters and emergencies. In this paper, we analyze the vulnerability of RTN via three traffic network models (i.e., No-power Traffic Network Model (NTNM), Distance Weight Traffic Network Model (DWTNM), and Road Level Weight Traffic Network Model (RLWTNM)). Firstly, based on the complex network theory, RTN is constructed by using road mapping method, according to the topological features. Secondly, Random Attack (RA) and Deliberate Attack (DA) strategies are used to analyze network vulnerability in three rural traffic network models. By analyzing the attack tolerance of RTN under the condition of different attack patterns, we find that the road level weight traffic network has a good performance to represent the vulnerability of RTN.

scholarly journals Graph Model for Minimal Distance and Optimal Circulation in Urban Design

2012 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Pingkan S Pioh
Keyword(s):  
Urban Design ◽  
Road Network ◽  
Graph Model ◽  
Minimal Distance ◽  
Traffic Network ◽  
Main Road ◽  
The Road ◽  
North Sulawesi ◽  
Good Access ◽  
A Current

GRAPH MODEL FOR MINIMAL DISTANCE AND OPTIMAL CIRCULATION IN URBAN DESIGNABSTRACT Among the important aspects in urban design are minimal distance and optimal circulation of the traffic network which include good access to the places of interests. The main road network is modeled in graph where the important places are represented by vertices and the main roads between them are represented in edges. A graph is called 3-connected if for every pair of vertices, there are three disjoint paths connecting them. Given the vertices and their locations, this paper focuses to make a 3-connected graph with minimal distance connecting them. This model is simulated in a computer program and applied in a current road network of Manado City, North Sulawesi Indonesia to see whether of not the road network in Manado is already optimal or not. Keywords: graph, n-connected, minimal distance, urban design.  MODEL GRAF UNTUK JARAK MINIMALDAN SIRKULASI OPTIMAL PADA PERANCANGAN KOTA ABSTRAK Diantara aspek penting dalam perancangan kota adalah jarak yang minimal dan sirkulasi yang baik dari lalu lintas termasuk aksesibilitas dari tempat-tempat penting. Perancangan ini dimodelkan dalam bentuk graf yang simpul-simpul mewakili tempat-tempat penting sedangkan sisi-sisi menyajikan jalan-jalan yang menghubungkan tempat-tempat tersebut. Sebuah graf dikatakan terkoneksi-3 jika untuk setiap pasangan simpul, terdapat 3 jalur saling lepas yang menghubungkan kedua simpul itu. Fokus dari paper ini adalah, jika diberikan simpul-simpul bersama lokasinya, membuat graph yang terkoneksi-3 dengan jarak minimal. Model ini diimplementasikan dalam bentuk program komputer dan diterapkan pada jaringan jalan yang ada di Manado, Sulawesi Utara, Indonesia, sekarang untuk menentukan apakah jaringan jalan di Manado sudah optimal atau belum. Kata kunci: Graf, terkoneksi-3, jarak minimal, perancangan kota

Traffic Infrastructure as an Impulsive Factor for Development of Tourism in Kosovo

2019 ◽  
Vol 9 (8) ◽  
pp. 1670
Author(s):  
Ibrahim RAMADANI ◽  
Tomor ÇELA
Keyword(s):  
Road Network ◽  
Network Density ◽  
Economic Factors ◽  
The Road ◽  
Development Level ◽  
Road Development ◽  
The World ◽  
Tourism Potential ◽  
Traffic Organization ◽  
Socio Economic Factors

Traffic and tourism are two most important branches of the economy, representing a synonym for each other. The word tourism itself means traffic or traveling, hence traffic and tourism are closely related. Through traffic many areas, being them touristicaly receptive or emitive, are connected, resulting in functioning of the demand-offer occurrence. The level of traffic development therefore determines the level of touristic movement onto certain region. Construction of the roads and extention of its network enables tourists to be closer to touristic motifs and, on the other hand investors are being offered the opportunity for building receptive capacities. Extension of the road network in Kosovo, as well as in majority of the world countries, is conditioned by physico-geographic and socio-economic factors. According to the world classification for road network density of 1000 km² lists Kosovo within a group of countries with an average stage of road development, along with some countries from the Southern Europe. This level of traffic organization is automatically being reflected into the development of tourism. This study aims to evaluate the development level of the road network and the tourism potential offered by Kosovo; components that correlate with each other, as the development of tourism depends from the level of traffic development. In addition to the expansion and modernization of the road network, many natural and anthropogenic values are turning into important touristic sights as well. Hence, traffic in many world countries, as well as in Kosovo is reflecting positively into development of tourism as an important economic branch.

A Traffic Flow Forecasting Method Regarding Traffic Network as an Digraph

2021 ◽  
pp. 2159043
Author(s):  
Zefei Chen ◽  
Jianmin Xu ◽  
Yongjie Lin ◽  
Bin Feng ◽  
Zihao Huang
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Intelligent Transportation System ◽  
Undirected Graph ◽  
The State ◽  
Good Prediction ◽  
Traffic Network ◽  
The Road ◽  
Traffic Flow Prediction ◽  
Flow Prediction

Traffic congestion has become a major problem restricting the development of major cities. ITS (Intelligent Transportation System) can record the state of traffic and predict the future traffic state, then reasonably optimize the travel scheme, so as to achieve the purpose of alleviating traffic congestion. Meanwhile, traffic flow prediction can provide data support for ITS, so many researchers have done a lot of research on traffic flow prediction. Many researchers take the traffic network as an undirected graph, and use the GCN (Graph Convolution Network) model to study the traffic flow prediction, and have achieved good prediction results. However, the traffic network is directed, and the traffic network is regarded as an undirected graph, which loses the direction information of the road network. Therefore, this inspires us to propose a graph convolution operator DGCN (Directed GCN), which can make full use of the in degree and out degree information of each station in the traffic network. The experimental results show that the graph convolution neural network based on this operator has better prediction accuracy than the state-of-the-art models.

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