scholarly journals Research on Urban Branch Road System Construction under the Perspective of Eco-friendly Traffic

2015 ◽  
Vol 2 ◽  
pp. 5
Author(s):  
Jiajia Luo ◽  
Linqiang Ji ◽  
Jinhe Wang
Keyword(s):  
Road Network ◽  
Urban Traffic ◽  
Low Density ◽  
System Construction ◽  
Urgent Problem ◽  
Traffic System ◽  
Urban Road ◽  
Supportive Role ◽  
Improvement Measures ◽  
Road System

<p>With constant development of urbanization, urban traffic has become the most urgent problem in the contemporary metropolis. Therefore, it is an inevitable trend to positively improve the human-oriented sustainable urban eco-friendly traffic system. The urban branch road constitutes a part of urban road that will be mostly neglected while it plays a positive supportive role to the eco-friendly traffic. This article makes a contrast and analysis to the coordinated relationship between branch road network and eco-friendly traffic in same areas of Germany and Dalian City and concludes the branch road network’s assurance role to the eco-friendly traffic, points out deficiency of branch road network and low density in China. The development of eco-friendly traffic, raises a series of improvement measures to the urban branch road system.</p><p> </p>

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.

Exploring Urban Road System Structure and Operation Mechanism about the Traffic Intersection Congestion

2012 ◽  
Vol 209-211 ◽  
pp. 945-951
Author(s):  
Xue Zhong Zhang ◽  
Wei Shui Fei ◽  
Xiao Jun Ning
Keyword(s):  
Traffic Congestion ◽  
City Planning ◽  
Hot Spot ◽  
Urban Traffic ◽  
System Structure ◽  
Traffic Demand ◽  
Urban Road ◽  
Operational Mechanism ◽  
Traffic Intersection ◽  
Road System

In the face of increasingly congested urban traffic caused by all sorts of harm, how to solve the traffic congestion problem in the urban is becoming the major hot spot which domestic and foreign experts and scholars pay close attention to and study. This paper in a microscopic angle to analyze the problem -- urban traffic intersection congestion，not in macroscopical city planning, transportation planning, urban traffic demand to discuss. Through exploring the urban road system structure and operational mechanism, development of the automobile overpass is to solve the intersection congestion.

scholarly journals Research on the Development Mode of Slow Traffic System in Cities Based on Low-carbon Concept

2011 ◽  
Vol 2 (1) ◽  
pp. 33
Author(s):  
Zhang Hang ◽  
Wan Jun
Keyword(s):  
Low Cost ◽  
Urban Traffic ◽  
Bus Rapid Transit ◽  
System Construction ◽  
Low Carbon ◽  
Development Mode ◽  
Sustained Development ◽  
Traffic System ◽  
Bus Transit ◽  
Special Cycle

The slow traffic system, which has a series of advantages including low cost of traveling, green environment protection and fewer resource-consuming, indicates its important role in the urban traffic system. This paper, through the research on the slow traffic system and based on current slow traffic system construction, puts forward new urban traffic mode including connection of “BRT (bus rapid transit) and PBFR (public bike free rental), integration of NBT (Normal Bus Transit) and TBB (take bicycle on bus), and planning of SCF (special cycle facilities) and SFW (special foot way) and NBT(normal bus transit).Finally, the paper Prouides a reference for exploring urban green and sustained development.

scholarly journals Dynamic Evaluation on the Traffic State of an Urban Gated Community by Opening the Micro-Inter-Road Network

Technologies ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. 71 ◽  
Author(s):  
Lin Dong ◽  
Akira Rinoshika ◽  
Zhixian Tang
Keyword(s):  
Road Network ◽  
Entropy Method ◽  
Urban Traffic ◽  
Traffic Information ◽  
Gated Community ◽  
Entropy Model ◽  
Evaluation Standard ◽  
Traffic System ◽  
Traffic State ◽  
Selection Framework

The opening of a gated community to expand the micro-road network in an urban traffic system is an importance research topic related to urban congestion. To satisfy the demands of opening an early choosing case, this paper proposes a comprehensive selection framework on qualified communities and their appropriate opening times by describing the traffic state at the boundary road network accurately. The traffic entropy model and fuzzy c-means (FCM) method are used in this paper. In the framework, a new opening evaluation entropy model is built using basic theory of the thermodynamic traffic entropy method. The traffic state entropy values of the boundary road network and entropy production are calculated to determinate the opening time. In addition, a specific fuzzy range evaluation standard at a preset gated community is drawn with an FCM algorithm to verify the opening determination. A case study based on the traffic information in a simulated gated community in Shanghai is evaluated and proves that the findings of opening evaluation are in accordance with the actual situation. It is found that the micro-inter-road network of a gated community should be opened as the entropy value reaches 2.5. As the travel time is less than 20 s, the correlation between the opening entropy value and the journey delay time exhibits a good linear correlation, which indicates smooth traffic flow.

scholarly journals The Effect of Travel Information on Travelers’ Choice of Travel Modes and Routes: A Case Study of the Travel between the Campuses

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Linjie Gao ◽  
Zhicai Juan ◽  
Anning Ni ◽  
Peng Jing
Keyword(s):  
Linear Programming ◽  
Quantitative Analysis ◽  
Road Network ◽  
Prior Information ◽  
Influential Factors ◽  
Travel Information ◽  
Traffic System ◽  
Urban Road ◽  
Traffic State

The traffic state of the urban road network is determined by travelers’ choices of travel modes and routes. With the development of science and technology, people tend to have more travel choices and their distinctive temperaments often lead to different choices even in the same situation. Therefore, a study of different factors that may affect people’s travel choices plays a crucial role in the optimization of the traffic system. Focusing on the four major travel modes between Minhang campus and Xuhui campus of Shanghai Jiao Tong University (SJTU) in Shanghai, China, this paper tries to gather the information of the factors that affect travel choices and the extent of such effects both in general cases and when prior information is given by means of questionnaires. Based on data processing, the paper draws pie charts on the travel choices under different circumstances and makes a qualitative analysis of the influential factors. Then, a quantitative analysis is made by using the models of utility function and linear programming. Finally, in contrast with the results, the paper finds out the extent of the effect of travel information on the choice of travel modes and routes of the travelers with different temperaments.

scholarly journals Discussion on the Sustainable Development Pattern of Road Network Structure of Cities with a Population of 1-2 Million in China

2021 ◽  
Vol 237 ◽  
pp. 04018
Author(s):  
Zhengmin Wen ◽  
Zhenqiang Li ◽  
Wenshuo Luo ◽  
Yuxin Fu ◽  
Juan Quan ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Network Structure ◽  
Road Network ◽  
Urban Traffic ◽  
Outer Ring ◽  
Development Pattern ◽  
Urban Road Network ◽  
Urban Road ◽  
The Road ◽  
Advantages And Disadvantages

The urban road network system is the main carrier of urban traffic. The constraint factor that urban road network has on traffic leads to major urban traffic problems. In this paper, a questionnaire survey and the Delphi method are determined to determine the case cities with a population of 1-2 million at home and abroad. Literature research and comparative, analytical, and inductive research methods are used to compare, analyse, and evaluate the advantages and disadvantages of the road network structure of the case cities, to summarize the development law of the urban road network, and to propose a sustainable development structure model for each development stage of urban road network: the mode made of ring freeway + trunk street (the embryonic stage), the mode made of ring freeway + expressway + trunk street (the incubation stage), the mode made of outer ring freeway + outer ring expressway and radial expressway + trunk street (the mature stage). The innovative point of this paper is to put forward a sustainable development pattern for the road network structure of cities with a population of 1-2 million in China.

scholarly journals GIS-BASED ROUTE FINDING USING ANT COLONY OPTIMIZATION AND URBAN TRAFFIC DATA FROM DIFFERENT SOURCES

2015 ◽  
Vol XL-1-W5 ◽  
pp. 129-133 ◽  
Author(s):  
M. Davoodi ◽  
M. S. Mesgari
Keyword(s):  
Ant Colony Optimization ◽  
Road Network ◽  
Urban Traffic ◽  
Ant Colony ◽  
Traffic Data ◽  
Multiple Sources ◽  
Urban Road ◽  
Floating Car Data ◽  
Route Finding ◽  
Different Sources

Nowadays traffic data is obtained from multiple sources including GPS, Video Vehicle Detectors (VVD), Automatic Number Plate Recognition (ANPR), Floating Car Data (FCD), VANETs, etc. All such data can be used for route finding. This paper proposes a model for finding the optimum route based on the integration of traffic data from different sources. Ant Colony Optimization is applied in this paper because the concept of this method (movement of ants in a network) is similar to urban road network and movements of cars. The results indicate that this model is capable of incorporating data from different sources, which may even be inconsistent.

scholarly journals Automatic Generation of Urban Road Planning Network Under Deep Learning

2021 ◽  
Vol 2074 (1) ◽  
pp. 012088
Author(s):  
Qikang Zhong ◽  
Qiuhong Liu
Keyword(s):  
Deep Learning ◽  
Traffic Congestion ◽  
Road Network ◽  
Noise Pollution ◽  
Automatic Generation ◽  
Urban Traffic ◽  
Motor Vehicles ◽  
Generative Adversarial Network ◽  
Urban Road ◽  
Road Planning

Abstract With the rapid advancement of China’s urbanization process and the rapid increase of the number of motor vehicles, now the vast majority of cities in China are faced with traffic congestion, environmental pollution, noise pollution and other problems. Facing these problems, a road network with reasonable structure, proper layout and sufficient capacity has become an important basic condition for the sustainable development of urban traffic system. This paper mainly studies the automatic generation method of urban road planning network based on deep learning. In this paper, a model based on deep neural network is proposed, which integrates the knowledge of road planning domain and generative adversarial network, and can realize the generation of road network simply and quickly.

scholarly journals Intelligent Planning and Research on Urban Traffic Congestion

2021 ◽  
Vol 13 (11) ◽  
pp. 284
Author(s):  
Qigang Zhu ◽  
Yifan Liu ◽  
Ming Liu ◽  
Shuaishuai Zhang ◽  
Guangyang Chen ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Road Network ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Transportation System ◽  
Urban Traffic ◽  
Traffic Planning ◽  
City Development ◽  
Urban Road

For large and medium-sized cities, the planning and development of urban road networks may not keep pace with the growth of urban vehicles, resulting in traffic congestion on urban roads during peak hours. Take Jinan, a mid-sized city in China’s Shandong Province, for example. In view of the daily traffic jam of the city’s road traffic, through investigation and analysis, the existing problems of the road traffic are found out. Based on real-time, daily road traffic data, combined with the existing road network and the planned road network, the application of a road intelligent transportation system is proposed. Combined with the application of a road intelligent transportation system, this paper discusses the future development of urban road traffic and puts forward improvement suggestions for road traffic planning. This paper has reference value for city development, road network construction, the application of intelligent transportation systems, and road traffic planning.

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