scholarly journals The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking Community

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xin Feng ◽  
Yue Zhang ◽  
Shuo Qian ◽  
Liming Sun
Keyword(s):  
Complex Network ◽  
Traffic Congestion ◽  
Gated Communities ◽  
Urban Traffic ◽  
Assessment Model ◽  
Capacity Assessment ◽  
Global Dynamics ◽  
Urban Road ◽  
Model Based ◽  
Traffic Capacity

At present, urban traffic congestion is a common problem of urban development in China. Therefore, China’s government issued the policy of opening the gated communities in 2016, hoping to alleviate traffic pressure to some extent. But, at present, the quantitative empirical research on the effect of the policy implementation is less and more idealistic. In order to complete the leap from research on local isolated traffic capacity of static gated communities to research on global coupling traffic capacity of dynamic multilayer network and, to a certain extent, reflect the innovation of the research model and method, we make a quantitative analysis of the effect of the policy more consistent with the actual situation, which provides a quantitative management basis for the implementation of the policy. Based on literature review, this paper carried out two stages of research. Stage one consists of constructing traffic capacity assessment model—Road Capacity Assessment (RCA) model based on BPR (Bureau of Public Roads) impedance function from a simple local static perspective. Considering the factors such as delay of signalized intersection and travel time, through modeling analysis and empirical test, it is found that about 12% of local traffic capacity can be improved after open community. Stage two consists of constructing a global capacity model based on multilayer complex network coupling from the perspective of complex global dynamics. Considering the various network nodes of pedestrians, nonmotor vehicles, and other factors, we construct a multilayer complex network and dynamic superposition coupling. The empirical data show that the overall traffic capacity of the open community is improved by at least 11.3%. Finally, it can be concluded that a significant increase in the global traffic capacity of complex urban road networks means that the losses caused by traffic congestion will be reduced. In some first-tier cities, the direct monthly income of the open-gated community is as high as 230 million yuan, not to mention its overall economic, social, and environmental benefits.

scholarly journals The Feasibility of Opening Communities -- Based on the Wiedemann Car-Following Model

2018 ◽  
Vol 11 (3) ◽  
pp. 57
Author(s):  
Xiao-Yan Cao ◽  
Bing-Qian Liu ◽  
Bao-Ru Pan ◽  
Yuan-Biao Zhang
Keyword(s):  
Traffic Congestion ◽  
Large Scale ◽  
Gated Communities ◽  
Urban Traffic ◽  
Average Delay ◽  
Traffic Demand ◽  
Car Following ◽  
Car Following Model ◽  
Urbanization In China ◽  
The Impact

With the accelerating development of urbanization in China, the increasing traffic demand and large scale gated communities have aggravated urban traffic congestion. This paper studies the impact of communities opening on road network structure and the surrounding road capacity. Firstly, we select four indicators, namely average speed, vehicle flow, average delay time, and queue length, to measure traffic capacity. Secondly, we establish the Wiedemann car-following model, then use VISSIM software to simulate the traffic conditions of surrounding roads of communities. Finally, we take Shenzhen as an example to simulate and compare the four kinds of gated communities, axis, centripetal and intensive layout, and we also analyze the feasibility of opening communities.

scholarly journals Urban Wasteful Transport and Its Estimation Methods

2018 ◽  
Vol 10 (12) ◽  
pp. 4562 ◽  
Author(s):  
Xiangyang Cao ◽  
Bingzhong Zhou ◽  
Qiang Tang ◽  
Jiaqi Li ◽  
Donghui Shi
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Transport Theory ◽  
Road Traffic ◽  
Urban Traffic ◽  
Flow Density ◽  
Urban Road ◽  
Road Capacity ◽  
Density Relationship

The paper studies urban road traffic problems from the perspective of resource science. The resource composition of urban road traffic system is analysed, and the road network is proved as a scarce resource in the system resource combination. According to the role of scarce resources, the decisive role of road capacity in urban traffic is inferred. Then the new academic viewpoint of “wasteful transport” was proposed. Through in-depth research, the paper defines the definition of wasteful transport and expounds its connotation. Through the flow-density relationship analysis of urban road traffic survey data, it is found that there is a clear boundary between normal and wasteful transport in urban traffic flow. On the basis of constructing the flow-density relationship model of road traffic, combined with investigation and analysis, the quantitative estimation method of wasteful transport is established. An empirical study on the traffic conditions of the Guoding section of Shanghai shows that there is wasteful transport and confirms the correctness of the wasteful transport theory and method. The research of urban wasteful transport also reveals that: (1) urban road traffic is not always effective; (2) traffic flow exceeding road capacity is wasteful transport, and traffic demand beyond the capacity of road capacity is an unreasonable demand for customers; (3) the explanation that the traffic congestion should apply the comprehensive theory of traffic engineering and resource economics; and (4) the wasteful transport theory and method may be one of the methods that can be applied to alleviate traffic congestion.

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 Congestion Pricing in Multimode Traffic considering Delay and Emission

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Hongna Dai ◽  
Enjian Yao ◽  
Rui Zhao
Keyword(s):  
Bilevel Programming ◽  
Traffic Congestion ◽  
Transportation Network ◽  
Rapid Development ◽  
Congestion Pricing ◽  
Urban Traffic ◽  
Pricing Model ◽  
Network Efficiency ◽  
Traffic Demand ◽  
Model Based

Rapid development of urbanization and automation has resulted in serious urban traffic congestion and air pollution problems in many Chinese cities recently. As a traffic demand management strategy, congestion pricing is acknowledged to be effective in alleviating the traffic congestion and improving the efficiency of traffic system. This paper proposes an urban traffic congestion pricing model based on the consideration of transportation network efficiency and environment effects. First, the congestion pricing problem under multimode (i.e., car mode and bus mode) urban traffic network condition is investigated. Second, a traffic congestion pricing model based on bilevel programming is formulated for a dual-mode urban transportation network, in which the delay and emission of vehicles are considered. Third, an improved mathematical algorithm combining successive average method with the genetic algorithm is proposed to solve the bilevel programming problem. Finally, a numerical experiment based on a hypothetical network is performed to validate the proposed congestion pricing model and algorithm.

Prediction of Road Congestion Level Based on Bayes Algorithm

2014 ◽  
Vol 599-601 ◽  
pp. 1593-1596
Author(s):  
Shou Bai Xiao
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Evaluation Model ◽  
The State ◽  
Assessment Model ◽  
Bayesian Algorithm ◽  
Processing Efficiency ◽  
Model Based ◽  
Bayes Algorithm ◽  
Road Traffic Congestion

Traffic jams increasingly threaten the normal city traffic, so our paper analyzes the state of the existing road traffic congestion, road traffic congestion found in the state is a relatively vague and random dynamic data model. Based on these two characteristics, we propose a road traffic congestion degree assessment model based on Bayesian algorithm. Based on the theoretical analysis of Bayesian algorithms to improve the processing efficiency of the algorithm to construct the road traffic congestion degree evaluation model based on Bayesian algorithm set, and the simulation experiments.

Research on Evaluation of Urban Road Congestion

2014 ◽  
Vol 536-537 ◽  
pp. 815-819
Author(s):  
Yi Dan Gao
Keyword(s):  
Traffic Congestion ◽  
Evaluation System ◽  
Road Traffic ◽  
Urban Traffic ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Urban Road ◽  
Research On Evaluation ◽  
Four Levels ◽  
The Government

This paper presents an urban road traffic evaluation system from traffic behavior, transport, traffic supply and traffic concept using the analytic hierarchy process techniques. We collect data by distributing questionnaires in Qingdao and determine the congestion evaluation index system after processing the data by factor analysis. The system is designed to emulate human's expertise on specifying four levels of traffic congestion within the urban area. Case analysis shows that our evaluation system is provided for the government to manage urban traffic networks.

scholarly journals The Traffic Congestion Charging Fee Management Model Based on the System Dynamics Approach

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Shuwei Jia ◽  
Kai Yang ◽  
Jinjin Zhao ◽  
Guangle Yan
Keyword(s):  
System Dynamics ◽  
Traffic Congestion ◽  
Urban Traffic ◽  
Management Model ◽  
Model Based ◽  
The Social ◽  
Congestion Charging

In recent years, the condition of urban traffic congestion in China has become more and more aggravated. Thus, from the social and environmental perspective, this paper has proposed a traffic congestion charging fee (TCCF) management model based on the system dynamics approach, taking Shanghai as a case study. The system dynamics approach applied in this paper focuses on the dynamic interrelations among some major variables in the TCCF management model. Hence, through a detailed discussion on these major variables, which are amount of car trips (ACT), growth of cars (GC), amount of NOx generation (ANG), attraction degree of car trips (ADCT), per vehicle area of roads (PVAR), and degree of traffic congestion (DTC), it is discovered that, when TCCF equals 45 yuan/day ⁎ vehicle, the DTC has declined by 67.84% and the ANG by 33.09%, which is a relatively satisfying solution to the traffic congestion problem.

scholarly journals Urban road traffic flow control under incidental congestion as a function of accident duration

Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 1085-1093
Author(s):  
Yang Xu ◽  
Duojia Zhang ◽  
Ahmad Jalal Khan Chowdhury
Keyword(s):  
Flow Control ◽  
Traffic Flow ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Abrupt Increase ◽  
Urban Road ◽  
Catastrophe Model ◽  
Traffic Capacity ◽  
Control Scheme

Abstract An abrupt increase in urban road traffic flow caused by incidental congestion is considered. The residual traffic capacity varies in different lanes after an accident, and the influence of accident duration on traffic flow is taken into account. The swallowtail catastrophe model was built based on catastrophe theory. The critical state of traffic congestion under incidental congestion was analyzed using this model, and a traffic flow control scheme is proposed with the goal of maximizing the traffic capacity. Finally, the operational state of traffic flow under different scenarios is analyzed through case study and the feasibility of the model is validated.

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