scholarly journals Extracting Flooded Roads by Fusing GPS Trajectories and Road Network

2019 ◽  
Vol 8 (9) ◽  
pp. 407
Author(s):  
She ◽  
Zhong ◽  
Fang ◽  
Zheng ◽  
Zhou
Keyword(s):  
Urban Areas ◽  
Urban Traffic ◽  
Rainfall Simulation ◽  
Map Matching ◽  
Negative Effects ◽  
High Position ◽  
Gps Trajectories ◽  
Gps Trajectory ◽  
Partition Statistics ◽  
Road Data

Urban roads are the lifeline of urban transportation and satisfy the commuting and travel needs of citizens. Following the acceleration of urbanization and the frequent extreme weather in recent years, urban waterlogging is occurring more than usual in summer and has negative effects on the urban traffic networks. Extracting flooded roads is a critical procedure for improving the resistance ability of roads after urban waterlogging occurs. This paper proposes a flooded road extraction method to extract the flooding degree and the time at which roads become flooded in large urban areas by using global positioning system (GPS) trajectory points with driving status information and the high position accuracy of vector road data with semantic information. This method uses partition statistics to create density grids (grid layer) and uses map matching to construct a time-series of GPS trajectory point density for each road (vector layer). Finally, the fusion of grids and vector layers obtains a more accurate result. The experiment uses a dataset of GPS trajectory points and vector road data in the Wuchang district, which proves that the extraction result has a high similarity with respect to the flooded roads reported in the news. Additionally, extracted flooded roads that were not reported in the news were also found. Compared with the traditional methods for extracting flooded roads and areas, such as rainfall simulation and SAR image-based classification in urban areas, the proposed method discovers hidden flooding information from geospatial big data, uploaded at no cost by urban taxis and remaining stable for a long period of time.

scholarly journals A Trajectory Collaboration Based Map Matching Approach for Low-Sampling-Rate GPS Trajectories

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2057 ◽  
Author(s):  
Wentao Bian ◽  
Ge Cui ◽  
Xin Wang
Keyword(s):  
Sampling Rate ◽  
Longest Common Subsequence ◽  
Map Matching ◽  
Missing Information ◽  
The Road ◽  
Global Positioning ◽  
Common Subsequence ◽  
Gps Trajectories ◽  
Gps Trajectory ◽  
Effectiveness And Efficiency

GPS (Global Positioning System) trajectories with low sampling rates are prevalent in many applications. However, current map matching methods do not perform well for low-sampling-rate GPS trajectories due to the large uncertainty between consecutive GPS points. In this paper, a collaborative map matching method (CMM) is proposed for low-sampling-rate GPS trajectories. CMM processes GPS trajectories in batches. First, it groups similar GPS trajectories into clusters and then supplements the missing information by resampling. A collaborative GPS trajectory is then extracted for each cluster and matched to the road network, based on longest common subsequence (LCSS) distance. Experiments are conducted on a real GPS trajectory dataset and a simulated GPS trajectory dataset. The results show that the proposed CMM outperforms the baseline methods in both, effectiveness and efficiency.

scholarly journals Prediction of Spatiotemporal Evolution of Urban Traffic Emissions Based on Taxi Trajectories

2021 ◽  
Vol 18 (2) ◽  
pp. 219-232
Author(s):  
Zhen-Yi Zhao ◽  
Yang Cao ◽  
Yu Kang ◽  
Zhen-Yi Xu
Keyword(s):  
Urban Areas ◽  
Vehicle Emissions ◽  
Motor Vehicle ◽  
Road Networks ◽  
Urban Traffic ◽  
Traffic Emissions ◽  
Spatiotemporal Evolution ◽  
The Future ◽  
Precise Prediction ◽  
Gps Trajectories

AbstractWith the rapid increase of the amount of vehicles in urban areas, the pollution of vehicle emissions is becoming more and more serious. Precise prediction of the spatiotemporal evolution of urban traffic emissions plays a great role in urban planning and policy making. Most existing methods usually focus on estimating vehicle emissions at historical or current moments which cannot well meet the demands of future planning. Recent work has started to pay attention to the evolution of vehicle emissions at future moments using multiple attributes related to emissions, however, they are not effective and efficient enough in the combination and utilization of different inputs. To address this issue, we propose a joint framework to predict the future evolution of vehicle emissions based on the GPS trajectories of taxis with a multi-channel spatiotemporal network and the motor vehicle emission simulator (MOVES) model. Specifically, we first estimate the spatial distribution matrices with GPS trajectories through map-matching algorithms. These matrices can reflect the attributes related to the traffic status of road networks such as volume, speed and acceleration. Then, our multi-channel spatiotemporal network is used to efficiently combine three key attributes (volume, speed and acceleration) through the feature sharing mechanism and generate a precise prediction of them in the future period. Finally, we adopt an MOVES model to estimate vehicle emissions by integrating several traffic factors including the predicted traffic states, road networks and the statistical information of urban vehicles. We evaluate our model on the Xi’an taxi GPS trajectories dataset. Experiments show that our proposed network can effectively predict the temporal evolution of vehicle emissions.

scholarly journals Analysis Study of Current Transportation Status in Vietnam’s Urban Traffic and the Transition to Electric Two-Wheelers Mobility

2021 ◽  
Vol 13 (10) ◽  
pp. 5577
Author(s):  
Duc Nguyen Huu ◽  
Van Nguyen Ngoc
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Fossil Fuels ◽  
Road Traffic ◽  
Urban Traffic ◽  
Transport Infrastructure ◽  
Social Characteristics ◽  
Gradual Change ◽  
Negative Effects ◽  
Alternative Means

In Vietnam’s major urban areas, private motorcycles are the main means of transportation that are suitable for socio-economic conditions, current transport infrastructure, and people’s habits. However, in recent years, the negative effects of a large number and high density of motorcycles in urban areas such as traffic congestion and noise and air pollution have resulted in a gradual change in the public’s opinion of private vehicle adoption, especially motorcycles. The public has also urged the authorities to issue policies of limiting or curving the growth in the number of private vehicles powered by fossil fuels in big cities. However, in order to achieve the goal, other alternative means of transport should be proposed to encourage people to move to a more sustainable and eco-friendly form of mobility. The alternatives also should be consistent with the average income level as well as social characteristics. In recent years, along with the development of a highly connected public transport network, efficient and less-polluting vehicles including electric two-wheelers have been emerging, thriving, and drawing more attraction from Vietnamese people and policy makers. The spread in the number of electric two-wheelers in Vietnam’s major cities may be a sign of the transition to a more sustainable and less-polluting means of transport as an alternative to gasoline-powered motorcycles. In this paper, the authors aim to analyze the current road traffic status in Vietnam’s major cities, as well as shed a light on the transition to the greener and more efficient alternative vehicles to motorcycles in Vietnam’s urban traffic. Several recommendations for encouraging this vehicle type development are also important outcomes of this paper.

Problems of Development of Small and Medium Russian Towns

2019 ◽  
pp. 24-29
Author(s):  
V V. Kafidov ◽  
V. N. Filippov ◽  
I. P. Filippova
Keyword(s):  
Urban Development ◽  
Urban Areas ◽  
Negative Impact ◽  
Physical Space ◽  
Living Environment ◽  
Transport Infrastructure ◽  
Negative Effects ◽  
Conceptual Approach ◽  
Fundamental Factor ◽  
New Buildings

The presented study addresses the problems of development of small and medium towns in Russia. Aim. The study aims to examine a town as a socio-economic environment where its residents exist and as the fundamental factor for the development of society.Tasks. The authors identify key problems in the development of small and medium Russian towns, which interferes with the historical appearance and has a negative impact on the living environment.Methods. Problems in the development of small and medium towns in Russia are examined using theoretical methods: systematic approach, statistical analysis, social and philosophical analysis.Results. The study identifies the main negative effects of the existing model of development of small and medium Russian towns, such as destruction of their historical and cultural appearance, distortion of the overall architectural motif, increased load on communications, and congestion of the transport infrastructure.Conclusions. At the current stage, efficient development of small and medium towns in Russia is impossible within the framework of the existing infill development. This chaotic process cannot be stopped without a new conceptual approach and changes in the legislative and normative framework of urban development. The only factor that determines the boundaries of the existing approach to urban development is the lack of physical space for new buildings in urban areas. The authors formulate proposals that would help to solve the problems of development of small and medium towns in Russia. 

scholarly journals Impact of External Human–Machine Interface Communication Strategies of Automated Vehicles on Pedestrians’ Crossing Decisions and Behaviors in an Urban Environment

2021 ◽  
Vol 13 (15) ◽  
pp. 8396
Author(s):  
Marc Wilbrink ◽  
Merle Lau ◽  
Johannes Illgner ◽  
Anna Schieben ◽  
Michael Oehl
Keyword(s):  
Urban Traffic ◽  
Automated Vehicles ◽  
Negative Effects ◽  
Communication Tools ◽  
Automated Vehicle ◽  
Additional Information ◽  
Road Users ◽  
Vulnerable Road Users ◽  
And Behaviors ◽  
Vehicle Automation

The development of automated vehicles (AVs) and their integration into traffic are seen by many vehicle manufacturers and stakeholders such as cities or transportation companies as a revolution in mobility. In future urban traffic, it is more likely that AVs will operate not in separated traffic spaces but in so-called mixed traffic environments where different types of traffic participants interact. Therefore, AVs must be able to communicate with other traffic participants, e.g., pedestrians as vulnerable road users (VRUs), to solve ambiguous traffic situations. To achieve well-working communication and thereby safe interaction between AVs and other traffic participants, the latest research discusses external human–machine interfaces (eHMIs) as promising communication tools. Therefore, this study examines the potential positive and negative effects of AVs equipped with static (only displaying the current vehicle automation status (VAS)) and dynamic (communicating an AV’s perception and intention) eHMIs on the interaction with pedestrians by taking subjective and objective measurements into account. In a Virtual Reality (VR) simulator study, 62 participants were instructed to cross a street while interacting with non-automated (without eHMI) and automated vehicles (equipped with static eHMI or dynamic eHMI). The results reveal that a static eHMI had no effect on pedestrians’ crossing decisions and behaviors compared to a non-automated vehicle without any eHMI. However, participants benefit from the additional information of a dynamic eHMI by making earlier decisions to cross the street and higher certainties regarding their decisions when interacting with an AV with a dynamic eHMI compared to an AV with a static eHMI or a non-automated vehicle. Implications for a holistic evaluation of eHMIs as AV communication tools and their safe introduction into traffic are discussed based on the results.

scholarly journals The effect of climate change on depression in urban areas of western Iran

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Hamed Abbasi
Keyword(s):  
Climate Change ◽  
Mental Health ◽  
Urban Areas ◽  
Climate Changes ◽  
Climatic Conditions ◽  
Negative Effects ◽  
Western Iran ◽  
Regime Changes ◽  
Climatic Time Series ◽  
Climatic Elements

Abstract Objective Human is accustomed to climatic conditions of the environment where they are born and live throughout their lifetime. The aim of this study is to examine mood swings and depression caused by sudden climate changes that have not yet given the humans a chance to adapt. Results Our results showed that depression could be affected by climate change and as a result, the behavior of climatic elements and trends has damaged mental health in the western regions of Iran. By investigating the trends and changes of climatic time series and their relationship with the rate of depression in urban areas of western Iran, it can be said that climate change is probably a mental health challenge for urban populations. Climate change is an important and worrying issue that makes the life difficult. Rapid climate changes in western Iran including rising air temperature, changes in precipitation, its regime, changes cloudiness and the amount of sunlight have a negative effects on health. The results showed that type of increasing or decreasing trend, as well as different climatic elements in various seasons did not have the same effect on the rate of depression in the studied areas.

scholarly journals Mechanical Properties, Permeability, and Freeze–Thaw Resistance of Pervious Concrete Modified by Waste Crumb Rubbers

2018 ◽  
Vol 8 (10) ◽  
pp. 1843 ◽  
Author(s):  
Hanbing Liu ◽  
Guobao Luo ◽  
Yafeng Gong ◽  
Haibin Wei
Keyword(s):  
Mechanical Properties ◽  
Urban Areas ◽  
Rubber Particle ◽  
Crumb Rubber ◽  
Pervious Concrete ◽  
Negative Effects ◽  
Freeze Thaw ◽  
Urban Heat ◽  
Island Phenomena ◽  
Pavement Material

Due to the negative effects that derive from large impervious surfaces in urban areas, pervious concrete has been developed, and has become an environmentally friendly pavement material. As a porous and permeable material, pervious concrete presents an overwhelming advantage in solving urban problems, such as flooding, groundwater decline, urban heat island phenomena, etc. Waste crumb rubber has been verified as a feasible modifier for pavement material. The objective of this paper is to explore the effects of rubber particle size and incorporation level on the permeability, mechanical properties, and freeze–thaw resistance of pervious concrete. Two kinds of rubbers (fine and coarse) with four incorporation levels (2%, 4%, 6%, and 8%) are used in the experiment. Permeability, compressive strength, flexural strength, flexural strain, and freeze–thaw resistance are tested. The results indicate that the addition of rubber slightly decreases strength and permeability, but significantly enhances ductility and freeze-thaw resistance. Fine crumb rubber with a suitable incorporation level could remarkably improve the ductility and freeze–thaw resistance of pervious concrete without sacrificing excessively strength and permeability.

scholarly journals Impact Assessing of Traffic Lights via GPS Vehicle Trajectories

2021 ◽  
Vol 10 (11) ◽  
pp. 769
Author(s):  
Zhuhua Liao ◽  
Hao Xiao ◽  
Silin Liu ◽  
Yizhi Liu ◽  
Aiping Yi
Keyword(s):  
Urban Areas ◽  
Low Cost ◽  
Traffic Data ◽  
Traffic Lights ◽  
Vehicle Trajectories ◽  
Gps Trajectories ◽  
Standard Classification ◽  
Auc Value ◽  
Travel Efficiency ◽  
The Impact

The adaptability of traffic lights in the control of vehicle traffic heavily affects the trafficability of vehicles and the travel efficiency of traffic participants in busy urban areas. Existing studies mainly have focused on the presence of traffic lights, but rarely evaluate the impact of traffic lights by analyzing traffic data, thus there is no solution for practicably and precisely self-regulating traffic lights. To address these issues, we propose a low-cost and fast traffic signal detection and impact assessment framework, which detects traffic lights from GPS trajectories and intersection features in a supervised way, and analyzes the impact range and time of traffic lights from intersection track data segments. The experimental results show that our approach gains the best AUC value of 0.95 under the ROC standard classification and indicates that the impact pattern of traffic lights at intersections is high related to the travel rule of traffic participants.

scholarly journals A framework for IoT-enabled environment aware traffic management

2021 ◽  
Vol 11 (1) ◽  
pp. 518
Author(s):  
Mohamed Fazil Mohamed Firdhous ◽  
B. H. Sudantha ◽  
Naseer Ali Hussien
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Traffic Management ◽  
Fine Particles ◽  
Environment Pollution ◽  
Negative Effects ◽  
Traffic Condition ◽  
Pollution Levels ◽  
Transport Services ◽  
The Cost

Vehicular traffic has increased across all over the world especially in urban areas due to many reasons including the reduction in the cost of vehicles, degradation of the quality of public transport services and increased wealth of people. The traffic congestion created by these vehicles causes many problems. Increased environment pollution is one of the most serious negative effects of traffic congestion. Noxious gases and fine particles emitted by vehicles affect people in different ways depending on their age and present health conditions. Professionals and policy makers have devised schemes for better managing traffic in congested areas. These schemes suffer from many shortcomings including the inability to adapt to dynamic changes of traffic patterns. With the development of technology, new applications like Google maps help drivers to select less congested routes. But, the identification of the best route takes only the present traffic condition on different road segments presently. In this paper the authors propose a system that helps drivers select routes based on the present and expected environment pollution levels at critical points in a given area.

scholarly journals A review of green roof incentives as motivators for the expansion of green infrastructure in European cities

2019 ◽  
Vol 28 (4) ◽  
pp. 641-652 ◽  
Author(s):  
Ewa Burszta-Adamiak ◽  
Wiesław Fiałkiewicz
Keyword(s):  
Green Infrastructure ◽  
Urban Areas ◽  
Financial Incentives ◽  
Large Scale ◽  
Green Roof ◽  
Green Roofs ◽  
Negative Effects ◽  
European Cities

Nowadays green roofs play a key role in alleviating the negative effects of urbanization. Despite investors awareness of the advantages of green roofs, there are still some barriers that hinder investments on a large scale. As a result a financial and non-financial incentives are implemented. The review presented in this paper allowed to identify the most popular initiatives and to formulate recommendations for creating incentive supporting implementation of green roofs in urban areas.

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