Optimization and Restructuring of the Road Resource with Construction Materials Based on Road Environment

2012 ◽  
Vol 600 ◽  
pp. 152-156 ◽  
Author(s):  
Xiao Dong Tan ◽  
Xiao Yi Yang ◽  
Pi Wei Song

For most of the cities will appear traffic congestion on the work the peak of the big gap in both directions of traffic between the same road sections in china, comparative analysis of the collected traffic flow on urban road sections on the flow and the value of road occupation rate and statistical derivation.Proposed the concept of restructuring on the road environment. Introduce the reorganization of the basic principles and the rule of the lane change

2010 ◽  
Vol 143-144 ◽  
pp. 419-423
Author(s):  
Min Wang ◽  
Liang Jie Xu

In this paper, from the medi-scope point of view, the intersection parameter is classified as the section parameter, and then the new intersection traffic state coefficient is defined. Based on the reachable matrix, a new method-hierarchical intersection analysis is used to divide the intersections into different crowded levels. Next, crossroad accessibility matrix is developed to distinguish the section connectivity and get the state results of the whole network. Last, we use this method to identify congestion state of the traffic on the road around Wuchang railway station, and the outcome shows the simulation result and the practical state are consistent.


2020 ◽  
Vol 17 (4) ◽  
pp. 272-281
Author(s):  
V. N. Baskov ◽  
D. A. Krasnikova ◽  
E. I. Isaeva

Driving in a traffic flow implies involvement in difficult traffic situations that adversely affects response time of a driver, which in turn is considered when estimating stopping distance of a vehicle and determines road safety. This relationship shows the effect of driver behaviour in traffic flow on the road traffic situation. The objective of the study was to study behavioural factors that influence driver’s decisions. The study used methods of driver behaviour modelling, mathematical modelling, experimental studies of the mental and psychological functions of drivers. Modelling the driver’s behaviour, considering various combinations of many behavioural and other factors, leads to a large number of options for mathematical description of driver behaviour, which makes it difficult to use this approach to describe behaviour of drivers under the conditions of a real street-road network. The research has analysed several works devoted to the study of control action of drivers, using unknown coefficients, describing a model of movement of vehicles considering accuracy of their control. Driving through an unregulated intersection is considered as the most complex and informative version of driver’s behaviour. It is found that when modelling a traffic flow, it is necessary to take into account the degree of resoluteness of drivers (through determination of a coefficient of resoluteness which is a random variable that takes into account the probability distribution of the coefficient’s value in conjunction with the probability distribution of the function of traffic flow intensity). The distribution of the coefficient of resoluteness of drivers, obtained from experimental data, was subject to analysis. It is determined that the driving style affects formation of traffic congestion. The assessment of the driving style is made through conditional classification of driver behaviour on the road, namely marked by manifestation of aggression and timidity. When studying the behaviour of timid and aggressive drivers, several pairs of trajectories and the dynamics of the corresponding traffic flow density, were considered and calculated based on Edie’s model. It has been confirmed that traffic congestion has the greatest negative effect on choleric drivers and sanguine drivers. Besides, there is a relationship between the response time of a driver and the change in his functional condition. It is concluded that to improve road safety thanks to a more accurate assessment of possible risks of formation of congestion situations, it is necessary to consider behavioural characteristics and temperaments of the drivers.


2020 ◽  
Vol 184 ◽  
pp. 01116
Author(s):  
S. Venkatcharyulu ◽  
V. Mallikarjunareddy

The purpose of the study and analyze traffic vehicular at peak hours, traffic congestion, determine level of service and provide suitable solution to reduce congestion and improve level of service. Hyderabad is a rapidly urbanizing metropolitan city with a population of 68.1lakhs. The increasing population has led to a tremendous increase in vehicular ownership resulting in high motorization rates. Vehicular population in Hyderabad is about 50lakhs. This increase in vehicular population, congestion and hazardous traffic conditions have resulted in traffic congestions, traffic delays, accidents, environ, noise pollution, air pollution and many more. Traffic volume studies are conducted for the counting number vehicles in th study area . . Data obtained from Nizampet road from the Miyapur useful for the identification of Heavy vehicular flow which studied and number of vehicle movement has studied . The data collected from surveys will be used for determination(PHO) and analysing the traffic volume, passenger car unit (PCU), congestion, Peak hour factor and Directional distribution, volume capacity ratio. A report is to be made on the road of 7km, semi urban road Miyapur X road to Nizampet ,(Hyderabad,INDIA) is studied for vehicles count, road conditions, traffic conditions, peak hour volume, pedestrian count where congestion usually happens, manually using tally sheets and recommend some measures for increasing Level of service of the road. The semi urban road has newly grown village which is immediate vicinity to the developed area. Hence the study of This traffic vehicular moment will help the local authorities to take decisions and finally control over movement of the vehicles.


2020 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Amrita Winaya

Traffic congestion is a problem that is often faced by Indonesian big cities. It is related to land use in an area that causes on-street parking. The main cause is the imbalance between demand and supply, namely the need for parking during rush hour exceeds the capacity of existing parking. Another consequence is the increasing of side barriers resulting in the delays on certain roads. Shopping area in Jl.Kapasan, Surabaya is one of the densely areas attracted most people of Surabaya to conduct trading activities and shopping for daily needs. The denstiy of this region will affect the performance of traffic flow and causing delays.The study aims to identify on-street parking in Jl.Kapasan shopping area, consequences arising from parking on the road, and determine the level of service or performance of roads around this shopping area. The analytical methods used are derived from Indonesian Highway Capacity Manual 1997. Based on calculation and analysis, the capacity of Jl.Kapasan without parking on the road was 1468 pcu/hour and with on-street parking was only 1276 pcu/hour.


2012 ◽  
Vol 241-244 ◽  
pp. 2100-2106
Author(s):  
Ling Xu ◽  
Qun Ba ◽  
Shan Hu

To detection the realtime information of the traffic congestion on the road, a method based on realtime video analysis was present. The method, firstly figure out the density of the vehicles on the lane, and then calculates optical flow velocity vetors of corner points on vehicles, finnaly, judges the current condition of the traffic flow by fuzzy logic based on the conditions of denisty and velocity. The proposed method is capable to accurately and timely detect the status of traffic congestion.


2022 ◽  
Vol 13 (2) ◽  
pp. 1-25
Author(s):  
Bin Lu ◽  
Xiaoying Gan ◽  
Haiming Jin ◽  
Luoyi Fu ◽  
Xinbing Wang ◽  
...  

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.


Author(s):  
Norlezah Hashim ◽  
Fakrulradzi Idris ◽  
Ahmad Fauzan Kadmin ◽  
Siti Suhaila Jaapar Sidek

Traffic lights play such important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. An Automatic Traffic Light Controller for Emergency Vehicle is designed and developed to help emergency vehicle crossing the road at traffic light junction during emergency situation. This project used Peripheral Interface Controller (PIC) to program a priority-based traffic light controller for emergency vehicle. During emergency cases, emergency vehicle like ambulance can trigger the traffic light signal to change from red to green in order to make clearance for its path automatically. Using Radio Frequency (RF) the traffic light operation will turn back to normal when the ambulance finishes crossing the road. Result showed the design is capable to response within the range of 55 meters. This project was successfully designed, implemented and tested.


2019 ◽  
Vol 17 ◽  
Author(s):  
Zakiah Ponrahono ◽  
Noorain Mohd Isa ◽  
Ahmad Zaharin Aris ◽  
Rosta Harun

The inbound and outbound traffic flow characteristic of a campus is an important physical component of overall university setting. The traffic circulation generated may create indirect effects on the environment such as, disturbance to lecturetime when traffic congestion occurs during peak-hours, loss of natural environment and greenery, degradation of the visual environment by improper or illegal parking, air pollution from motorized vehicles either moving or in idle mode due to traffic congestion, noise pollution, energy consumption, land use arrangement and health effects on the community of Universiti Putra Malaysia (UPM) Serdang. A traffic volume and Level of Service (LOS) study is required to facilitate better accessibility and improves the road capacity within the campus area. The purpose of this paper is to highlight the traffic volume and Level of Service of the main access the UPM Serdang campus. A traffic survey was conducted over three (3) weekdays during an active semester to understand the traffic flow pattern. The findings on traffic flow during peak hours are highlighted. The conclusions of on-campus traffic flow patterns are also drawn.


2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Tolesa Hundesa Muleta ◽  
Legesse Lemecha Obsu

In this paper, the analyses of traffic evolution on the road network of a roundabout having three entrances and three exiting legs are conducted from macroscopic point of view. The road networks of roundabouts are modeled as a merging and diverging types 1×2 and 2×1 junctions. To study traffic evolution at junction, two cases have been considered, namely, demand and supply limited cases. In each case, detailed mathematical analysis and numerical tests have been presented. The analysis in the case of demand limited showed that rarefaction wave fills the portion of the road network in time. In the contrary, in supply limited case, traffic congestion occurs at merging junctions and shock wave propagating back results in reducing the performance of a roundabout to control traffic dynamics. Also, we illustrate density and flux profiles versus space discretization at different time steps via numerical simulation with the help of Godunov scheme.


2018 ◽  
Vol 10 (12) ◽  
pp. 4562 ◽  
Author(s):  
Xiangyang Cao ◽  
Bingzhong Zhou ◽  
Qiang Tang ◽  
Jiaqi Li ◽  
Donghui Shi

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.


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