scholarly journals Analysis on Stability of Roadside Parking System in a Rail-Integrated Transport Hub

2021 ◽  
Vol 13 (9) ◽  
pp. 4855
Author(s):  
Junheng Yang ◽  
Xiaodong Zang ◽  
Qiang Luo ◽  
Liming Shao
Keyword(s):  
Interaction Mechanism ◽  
Wave Theory ◽  
Utilization Rate ◽  
Practical Case ◽  
Evaluation Indexes ◽  
Parking System ◽  
Parking Management ◽  
Time Utilization ◽  
Traffic Wave ◽  
The Stability

Roadside parking systems plays an important role in the planning and design of parking spaces, parking management and operation, and ensuring the safety of passengers. Firstly, we proposed a traffic wave theory and an avoidance logic algorithm to analyze the interaction mechanism of the roadside parking system in a rail-integrated transport hub. Moreover, we researched the evaluation indexes of the stability of roadside parking systems via two new concepts, namely static roadside parking time and dynamic roadside parking time. We found these improved the algorithm of the time utilization rate of the berth. Secondly, the coupling relationship between parking rate, delay and time utilization of berth was also discussed, and mathematical models of stability of the curb parking system were established. Furthermore, the feasibility of models was verified by multi-agent simulation through the VISSIM simulation platform. Finally, a new rail-integrated transport hub was taken as a practical case and studied alongside the simulation of the stability of curb parking system. Our study concluded that the curb parking system was ultimate stable when the time utilization rate was 37.5% and the parking rate was 91.2%. The results of these studies will provide theoretical support for designing curb parking berths in rail-integrated transport hubs.

Dynamic Performance of High-Speed Electric Multiple Unit within Multi-Body System Simulation

2019 ◽  
Vol 12 (4) ◽  
pp. 339-349
Author(s):  
Junguo Wang ◽  
Daoping Gong ◽  
Rui Sun ◽  
Yongxiang Zhao
Keyword(s):  
High Speed ◽  
Rapid Development ◽  
Dynamic Performance ◽  
Body System ◽  
High Speed Railway ◽  
Evaluation Indexes ◽  
Actual Operation ◽  
Multiple Unit ◽  
The Stability ◽  
Multi Body

Background: With the rapid development of the high-speed railway, the dynamic performance such as running stability and safety of the high-speed train is increasingly important. This paper focuses on the dynamic performance of high-speed Electric Multiple Unit (EMU), especially the dynamic characteristics of the bogie frame and car body. Various patents have been discussed in this article. Objective: To develop the Multi-Body System (MBS) model of EMU, verify whether the dynamic performance meets the actual operation requirements, and provide some useful information for dynamics and structural design of the proposed EMU. Methods: According to the technical characteristics of a typical EMU, a MBS model is established via SIMPACK, and the measured data of China high-speed railway is taken as the excitation of track random irregularity. To test the dynamic performance of the EMU, including the stability and safety, some evaluation indexes such as wheel-axle lateral forces, wheel-axle lateral vertical forces, derailment coefficients and wheel unloading rates are also calculated and analyzed in detail. Results: The MBS model of EMU has better dynamic performance especially curving performance, and some evaluation indexes of the stability and safety have also reached China’s high-speed railway standards. Conclusion: The effectiveness of the proposed MBS model is verified, and the dynamic performance of the MBS model can meet the design requirements of high-speed EMU.

scholarly journals Research on the impact of ship traffic flow on the restricted channel segment of the middle Yangtze River based on traffic wave theory

2021 ◽  
Vol 3 (8) ◽  
Author(s):  
Ting Liu ◽  
Gabriel Lodewijks
Keyword(s):  
Traffic Flow ◽  
Flow Rate ◽  
Flow Simulation ◽  
Wave Theory ◽  
Flow Density ◽  
List Type ◽  
Ship Traffic ◽  
Traffic Wave ◽  
The Impact ◽  
Channel Segment

Abstract Abstract On the basis of the influence of dry season on ship traffic flow, the gathering and dissipating process of ship traffic flow was researched with Greenshields linear flow—density relationship model, the intrinsic relationship between the ship traffic congestion state and traffic wave in the unclosed restricted channel segment was emphatically explored when the ship traffic flow in a tributary channel inflows, and the influence law of multiple traffic waves on the ship traffic flow characteristics in unclosed restricted segment is revealed. On this basis, the expressions of traffic wave speed and direction, dissipation time of queued ships and the number of ships affected were provided, and combined with Monte Carlo method, the ship traffic flow simulation model in the restricted channel segment was built. The simulation results show that in closed restricted channel segment the dissipation time of ships queued is mainly related to the ship traffic flow rate of segments A and C, and the total number of ships affected to the ship traffic flow rate of segment A. And in unclosed restricted channel segment, the dissipation time and the total number of ships affected are also determined by the meeting time of the traffic waves in addition to the ship traffic flow rate of segments. The research results can provide the theoretical support for further studying the ship traffic flow in unclosed restricted channel segment with multiple tributaries Article Highlights The inflow of tributaries' ship traffic flows has an obvious impact on the traffic conditions in the unenclosed restricted channel segment. The interaction and influence between multiple ship traffic waves and the mechanism of generating new traffic waves are explained. The expression of both dissipation time of queued ships and the total number of ships affected in the closed and unclosed restricted channel segment are given.

Model and Stability of the Traffic Flow Consisting of Heterogeneous Drivers

2015 ◽  
Vol 10 (3) ◽  
Author(s):  
Da Yang ◽  
Liling Zhu ◽  
Yun Pu
Keyword(s):  
Traffic Flow ◽  
Heterogeneous Traffic ◽  
Model Parameters ◽  
Optimal Velocity ◽  
Stability Functions ◽  
Car Following Model ◽  
Traffic Wave ◽  
The Stability ◽  
Different Characteristics ◽  
Stationary Velocity

Although traffic flow has attracted a great amount of attention in past decades, few of the studies focused on heterogeneous traffic flow consisting of different types of drivers or vehicles. This paper attempts to investigate the model and stability analysis of the heterogeneous traffic flow, including drivers with different characteristics. The two critical characteristics of drivers, sensitivity and cautiousness, are taken into account, which produce four types of drivers: the sensitive and cautious driver (S-C), the sensitive and incautious driver (S-IC), the insensitive and cautious driver (IS-C), and the insensitive and incautious driver (IS-IC). The homogeneous optimal velocity car-following model is developed into a heterogeneous form to describe the heterogeneous traffic flow, including the four types of drivers. The stability criterion of the heterogeneous traffic flow is derived, which shows that the proportions of the four types of drivers and their stability functions only relating to model parameters are two critical factors to affect the stability. Numerical simulations are also conducted to verify the derived stability condition and further explore the influences of the driver characteristics on the heterogeneous traffic flow. The simulations reveal that the IS-IC drivers are always the most unstable drivers, the S-C drivers are always the most stable drivers, and the stability effects of the IS-C and the S-IC drivers depend on the stationary velocity. The simulations also indicate that a wider extent of the driver heterogeneity can attenuate the traffic wave.

scholarly journals The Departure Characteristics of Traffic Flow at the Signalized Intersection

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Zhaowei Qu ◽  
Yan Xing ◽  
Hongyu Hu ◽  
Yuzhou Duan ◽  
Xianmin Song ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Wave Model ◽  
Wave Theory ◽  
Signalized Intersection ◽  
Departure Process ◽  
Dispersion Process ◽  
Spatiotemporal Model ◽  
Quantitative Calculation ◽  
Traffic Wave ◽  
Motion Characteristics

The motion characteristics of the leading vehicle and the following vehicles of the traffic flow at the typical urban intersections are qualitatively analyzed through the kinematical equation and the traffic wave theory. Then, the motion characteristic of the whole traffic flow during the dispersion process is also studied. Based on the spatiotemporal model of kinematics in the departure process and traffic wave model in the dispersion process proposed, the change of the leading vehicle of the departure process and the time of the following vehicles reaching to the stable speed as well as the relationship between the green time and the departure vehicle number at the intersection are acquired. Furthermore, according to the qualitative analysis and the quantitative calculation of the departure traffic flow at the signalized intersection, the dispersion characteristic of traffic flow at the signalized intersection was studied and analyzed, which provides reliable theoretical basis for traffic signal setting at the intersection.

Application of Traffic-Wave Theory in Air Traffic Flow

Logistics ◽  
2009 ◽  
Author(s):  
Zhaoning Zhang ◽  
Xinhua Li ◽  
Lili Wang
Keyword(s):  
Traffic Flow ◽  
Wave Theory ◽  
Air Traffic ◽  
Air Traffic Flow ◽  
Traffic Wave

On the instability of a falling film due to localized heating

2003 ◽  
Vol 475 ◽  
pp. 1-19 ◽  
Author(s):  
JAN M. SKOTHEIM ◽  
UWE THIELE ◽  
BENOIT SCHEID
Keyword(s):  
Surface Tension ◽  
Wave Theory ◽  
Quantitative Agreement ◽  
Surface Tension Gradient ◽  
Heated Plate ◽  
Dimensional Measure ◽  
Critical Marangoni Number ◽  
The Stability ◽  
Conductive Properties ◽  
Horizontal Band

We analyse the stability of a thin film falling under the influence of gravity down a locally heated plate. Marangoni flow, due to local temperature changes influencing the surface tension, opposes the gravitationally driven Poiseuille flow and forms a horizontal band at the upper edge of the heater. The thickness of the band increases with the surface tension gradient, until an instability forms a rivulet structure periodic in the transverse direction. We study the dependence of the critical Marangoni number, a non-dimensional measure of the surface tension gradient at the onset of instability, on the associated Bond and Biot numbers, non-dimensional measures of the curvature pressure and heat-conductive properties of the film respectively. We develop a model based on long-wave theory to calculate base-state solutions and their linear stability. We obtain dispersion relations, which give us the wavelength and growth rate of the fastest growing mode. The calculated film profile and wavelength of the most unstable mode at the instability threshold are in quantitative agreement with the experimental results. We show via an energy analysis of the most unstable linear eigenmode that the instability is driven by gravity and an interaction between base-state curvature and the perturbation thickness. In the case of non-zero Biot number transverse variations of the temperature profile also contribute to destabilization.

Modification of Traffic Wave Theory and the Development of a New Stop-Wave Model

2012 ◽  
Vol 253-255 ◽  
pp. 1615-1618
Author(s):  
Yu Han Jia ◽  
Jian Ping Wu ◽  
Yi Man Du
Keyword(s):  
Wave Phenomenon ◽  
Wave Model ◽  
Wave Theory ◽  
Signalized Intersections ◽  
Microscopic Level ◽  
Peak Period ◽  
Traffic Flow Theory ◽  
Traffic State ◽  
Traffic Wave ◽  
Real Traffic

This paper studies the traffic wave phenomenon on the basis of traffic flow theory and finds that the classical theory disagreeing with the real traffic state. The existing theory is modified and a new traffic wave model is proposed based on the improved theory. The aim of the model is to better describe the stop-wave phenomenon in signalized intersections at a microscopic level. Then the model is calibrated and validated by data obtained from an intersection during morning-peak period. Results show this new model can represent the characteristics of traffic wave with a high accuracy and can demonstrate the improved traffic wave theory.

Optimization Algorithm of Real-Timing Signal Control for Isolated Intersections

2014 ◽  
Vol 1037 ◽  
pp. 322-326
Author(s):  
Hui Hua Shi ◽  
Hui jin Chen ◽  
Qing He
Keyword(s):  
Optimization Algorithm ◽  
Queue Length ◽  
Fixed Time ◽  
Utilization Rate ◽  
Time Signal ◽  
Signal Control ◽  
Average Delay ◽  
Simulation Results ◽  
Time Utilization ◽  
Isolated Intersection

To make full use of green time of each phase to alleviate congestion in urban isolated intersections, an optimization algorithm of real-timing signal control is proposed. By monitoring traffic flow at the isolated intersection, the average utilization rate of green time of each phase is calculated. The green time of each phase is then adjusted automatically to maintain a balanced green time utilization rate with the presented optimization algorithm. Simulation results indicate that the average delay and the queue length of the presented algorithm are less than the fixed-time signal plan at peak times, and the efficiency of the intersection traffic is improved.

scholarly journals Application of a Radio Frequency Identification System for Supporting the Performance of Motorcycle Parking in Narotama University

2017 ◽  
pp. 319-326
Author(s):  
Sri Wiwoho Mudjanarko ◽  
Tubagus Purworusmiardi
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Identification System ◽  
Accurate Data ◽  
Registration Process ◽  
Parking System ◽  
Parking Management ◽  
Frequency Identification ◽  
User Friendly ◽  
Parking Facilities

The increasing number of motorcycles in Indonesia creates enormous problems because of the hectic involved; thus, parking management becomes a big challenge. The applicability and the possibility of a Radio Frequency Identification (RFID) were studied in finding the solution of this pressing issue. The study was conducted at Narotama University which is located in Surabaya, East Java. This study was expected to find solutions related to provide parking facilities using RFID method to identify motorcycles. The goal of this study is to determine the number of motorcycle vehicles which is being parked electronically to facilitate the management in organizing motorcycle in parking facilities. Hence, the management can arrange the requirement of parking system in the future. From the study, it can be concluded that RFID can make the process faster and easier so that the line can significantly be reduced and provide more user friendly system because the system will give the information about parking availability. Moreover, this RFID parking system and the software can be more reliable and secured due to more complete and accurate data in the registration process required to the users.

scholarly journals Designing Smart Parking System through the Use of IoT and Big Data

2021 ◽  
Vol 10 (5) ◽  
pp. 3023-3027
Keyword(s):  
Big Data ◽  
Large Data ◽  
Detection Methods ◽  
Regional Government ◽  
Time Data ◽  
Parking System ◽  
Parking Management ◽  
Smart Parking ◽  
City Plan ◽  
Big Data Technology

One of the endless problem in Jakarta is the potential loss of DKI Jakarta regional government revenue related to parking fees. This study was made to overcome this problem by proposing the utilization of IoT and Big Data technology for smart parking system as a contribution to the Jakarta Smart City plan. Actual real time data of parking management by utilizing IoT brings out the collaboration of tools and technologies which may provide controlling and monitoring features to smart parking system. Furthermore, big data technology allows DKI Jakarta government easily predicts the potential revenue from each parking location spread throughout the city. This paper will discuss about the requirements, system architecture, detection methods and technologies based on commodity hardware and a group of Hadoop MR Platforms to investigate the ability of intelligent parking platforms to process and analyze large data in Jakarta

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