scholarly journals Study on the Accessibility and Recreational Development Potential of Lakeside Areas Based on Bike-Sharing Big Data Taking Wuhan City as an Example

2019 ◽  
Vol 12 (1) ◽  
pp. 160
Author(s):  
Jing Wu ◽  
Changlong Ling ◽  
Xinzhuo Li
Keyword(s):  
Big Data ◽  
Road Traffic ◽  
Water Environment ◽  
Wuhan City ◽  
Dense Area ◽  
Development Potential ◽  
Traffic Conditions ◽  
Spatial Measurement ◽  
Bike Sharing ◽  
Distribution Laws

Accessibility is an important factor in measuring the recreational development potential of Wuhan lakeside areas where people like bike-sharing services for leisure. By using bike-sharing big data, this paper visualizes the spatiotemporal distribution characteristics and depicts the free flows of OD (Original Points and Destination Points) points of the bike-sharing activities taking place within 4 km of 21 lakes in the Wuhan Third Ring Road on an important holiday. Based on these distribution laws, statistics and spatial measurement are used to measure and compare the theoretical accessibility and actual accessibility of these lakeside areas at different grid scales in order to estimate the recreational development potential and explore the causes and possible suggestions behind the recreational potential. Results show that Ziyang Lake, Shai Lake, and South Lake have great recreational potential in improving their accessibility, whereas the Hankou lake dense area has a saturated recreational development potential due to its high accessibility characteristics. The differences in the water environment, surrounding road traffic conditions, and construction situations in these lakes influence their accessibility. Some differences are also observed between the actual and theoretical accessibility of most of these lakes, and there is a long way to go for real improvement of their recreational development potential. To better exploit the recreational development potential, improving the accessibility of these lakes remains an important issue that needs to be addressed as soon as possible.

scholarly journals Data Acquisition and Mining Algorithm of Car Networking under Big Data Background

2019 ◽  
Vol 15 (01) ◽  
pp. 4
Author(s):  
Guohua Xiong
Keyword(s):  
Big Data ◽  
Data Acquisition ◽  
Road Traffic ◽  
Traffic Information ◽  
Traffic Conditions ◽  
Real Time Traffic ◽  
Mining Algorithm ◽  
Mining Algorithms ◽  
Traffic Information Collection ◽  
Networking Technology

In order to solve the problem of traffic jams, intelligent traffic technology and car networking technology were applied. In the context of big data, data acquisition and mining algorithms for vehicular network were studied. First, the overall architecture of the system was introduced. Then, the data acquisition technology based on the car network and the data mining technology based on the cloud plat-form were introduced. Finally, simulation experiments of real-time traffic information collection and recognition algorithms were performed. The results showed that the proposed mining algorithm had better data repair effect and better clustering effect, and the probability of misjudgment was smaller. Therefore, the algorithm can obtain accurate road traffic conditions.

scholarly journals Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis

2021 ◽  
Vol 285 ◽  
pp. 116429
Author(s):  
Wen-Long Shang ◽  
Jinyu Chen ◽  
Huibo Bi ◽  
Yi Sui ◽  
Yanyan Chen ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Environmental Benefits ◽  
User Behaviors ◽  
Bike Sharing

scholarly journals Optimization of Planning Layout of Urban Building Based on Improved Logit and PSO Algorithms

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Yun Li ◽  
Yanping Chen ◽  
Miaoxi Zhao ◽  
Xinxin Zhai
Keyword(s):  
Big Data ◽  
Performance Index ◽  
Logit Model ◽  
Evaluation System ◽  
Road Traffic ◽  
Storage System ◽  
Pso Algorithm ◽  
Building Layout ◽  
Fitness Value ◽  
Architectural Planning

There is a huge amount of data in the opportunity of “turning waste into treasure” with the arrival of the big data age. Urban layout is very important for the development of urban transportation and building system. Once the layout of the city is finalized, it will be difficult to start again. Therefore, the urban architectural layout planning and design have a very important impact. This paper uses the urban architecture layout big data for building layout optimization using advanced computation techniques. Firstly, a big data collection and storage system based on the Hadoop platform is established. Then, the evaluation model of urban building planning based on improved logit and PSO algorithm is established. The PSO algorithm is used to find the suitable area for this kind of building layout, and then through five impact indicators: land prices, rail transit, historical protection, road traffic capacity, and commercial potential have been established by using the following logit linear regression model. Then, the bridge between logit and PSO algorithm is established by the fitness value of particle. The particle in the particle swarm is assigned to the index parameter of logit model, and then the logit model in the evaluation system is run. The performance index corresponding to the set of parameters is obtained. The performance index is passed to the PSO as the fitness value of the particle to search for the best adaptive position. The reasonable degree of regional architectural planning is obtained, and the rationality of urban architectural planning layout is determined.

scholarly journals The Review of Vehicular Safety Enhancement Through Wireless Protocol

2021 ◽  
pp. 122-126
Author(s):  
Dr. M. Sudha ◽  
S. Usha ◽  
Naveena M ◽  
Nisha P ◽  
Prabha R
Keyword(s):  
Short Range ◽  
Road Traffic ◽  
Network Access ◽  
Dense Area ◽  
The Road ◽  
Vehicle Communication ◽  
Dedicated Short Range Communication ◽  
Middle Range ◽  
Energy Limitation ◽  
Tesla Coil

Nowadays, Transportation is one of the primary and major needs of almost every human being that cannot be avoided. The road congested or road traffic are due to The increases in vehicles, which in turn results in road safety and increase accidents. In current society, there are many modern cars with tremendous features in it like, Mercedes, BMW, Audi, and Tesla and so on. Those cars are highly technical and even higher in price. Many people are not economical on buying those vehicles because the middle range vehicles are not capable of much attributes like, visualizing performance, driver safety and so on.., Anyway , the action of using something that is of highly mobile and energy limitation UVs for wireless communications also introduces many new provocation. Hence, we use Vehicle to Vehicle communication and vehicle to infrastructure communication are to reduce crashes. In addition to this, for an Electric unmanned vehicle we use Wireless charging to charge the vehicle with the help of the Tesla coil. In this system we use a (Dedicated short range communication) DSRC and Zigbee. Both DSRC and Zigbee are used for the communication between the vehicles within a certain range. Dedicated short range communication (DSRC) protocol is used for the network access since it reduces the delay in transmission time. Resentencing, there are research shows that using DSRC has a performance issue in a dense area or increased network load hence Zigbee is used along with DSRC since Zigbee perform well in dense area.

scholarly journals PEDESTRIAN TRAFFIC CONDITIONS OF RURAL ROADS AND BUILT-UP AREAS: THE ANALYSIS OF THE EXISTING SITUATION AND POSSIBILITIES OF IMPROVING TRAFFIC CONDITIONS

2010 ◽  
Vol 2 (3) ◽  
pp. 60-66
Author(s):  
Nemunas Abukauskas ◽  
Egidijus Skrodenis
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Rural Roads ◽  
Traffic Conditions ◽  
Foreign Countries ◽  
Pedestrian Traffic ◽  
Main Activity

The results of lengthy thorough investigations into traffic safety situation show that the percentage of pedestrians getting involved in road traffic accidents on Lithuanian roads is significantly higher (more than 33 % of the total number of injury and fatal accidents) than that compared to the other European Union member-states. The article studies traffic safety problems and their factors causing the largest influence on the occurrence of these accidents. Considering valuable experience gained by foreign countries, investigation was carried out to establish general and main factors causing insufficient road safety conditions and significance of these factors to road safety. The article also shows the main activity improving road safety in Lithuania and discusses the effectiveness of strategic and local (temporary and long term) measures to improve conditions for pedestrian road safety.

scholarly journals ANALYSIS OF DRIVER BEHAVIOR IN VEHICLE FOLLOWING AND LANE CHANGING PARAMETERS ON URBAN MID BLOCK SECTIONS

2021 ◽  
Vol 9 (2) ◽  
pp. 1169-1177
Author(s):  
Sowjanya, Et. al.
Keyword(s):  
Road Traffic ◽  
Driver Behavior ◽  
Video Data ◽  
Heterogeneous Traffic ◽  
Heterogeneous Environments ◽  
Trajectory Data ◽  
Lateral Direction ◽  
Lane Changing ◽  
Traffic Conditions ◽  
Road Section

In mixed traffic situations, there is weak or no lane behavior of the driver much more complicated where vehicle and driver behavior show a huge difference between them. Road traffic driving behavior on urban midblock sections is one of the most complex phenomena to be examined particularly in heterogeneous traffic conditions. This is often attributed to the capacity of the road section and the traffic flow features at the macroscopic and microscopic level of a road section. Very few researchers have attempted to investigate these features in heterogeneous environments because of the lack of adequate information gathering methods and the amount of complexity involved. In this background, an access controlled mid block road section was selected for video data collection. The main objectives of this study include developing vehicular trajectory data and analyzing the lane changing and vehicle following behavior of driver on the mid block section considering the relative velocities and relative spacing between various types of vehicles under heterogeneous traffic conditions.  The videos were collected from urban roadway in the Kurnool district of Andhra Pradesh. The length of the stretch is 120m and the width is 7.0 m. The data was extracted to know the variations in terms of longitudinal and lateral speeds, velocities, vehicle following and lane changing behavior of the drivers. The data extracted was smoothened by moving average method to minimize the human errors. Lateral amplitude of the vehicles of various types was analyzed. The study revealed that vehicles in the mixed stream, in general and in particular, Bikes and Autos particularly move substantially in the lateral direction.

Assessing the Impact of a Cooperative Merging System on Highway Traffic Using a Microscopic Flow Simulator

2014 ◽  
Author(s):  
Ioannis A. Ntousakis ◽  
Kallirroi Porfyri ◽  
Ioannis K. Nikolos ◽  
Markos Papageorgiou
Keyword(s):  
Road Traffic ◽  
Highway Traffic ◽  
Cruise Control ◽  
V2v Communication ◽  
Traffic Conditions ◽  
Cooperative Adaptive Cruise Control ◽  
Low Efficiency ◽  
Critical Traffic ◽  
Vehicle Technologies ◽  
The Impact

Vehicle merging on highways has always been an important aspect, which directly affects the capacity of the highway. Under critical traffic conditions, the merging of main road traffic and on-ramp traffic is known to trigger speed breakdown and congestion. Additionally, merging is one of the most stressful tasks for the driver, since it requires a synchronized set of observations and actions. Consequently, drivers often perform merging maneuvers with low efficiency. Emerging vehicle technologies, such as cooperative adaptive cruise control and/or merging-assistance systems, are expected to enable the so-called “cooperative merging”. The purpose of this work is to propose a cooperative merging system and evaluate its performance and its impact on highway capacity. The modeling and simulation of the proposed methodology is performed within the framework of a microscopic traffic simulator. The proposed model allows for the vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication, which enables the effective handling of the available gaps between vehicles. Different cases are examined through simulations, in order to assess the impact of the system on traffic flow, under various traffic conditions. Useful conclusions are derived from the simulation results, which can form the basis for more complex merging algorithms and/or strategies that adapt to traffic conditions.

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