scholarly journals A Hybrid Method for Predicting Traffic Congestion during Peak Hours in the Subway System of Shenzhen

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 150 ◽  
Author(s):  
Zhenwei Luo ◽  
Yu Zhang ◽  
Lin Li ◽  
Biao He ◽  
Chengming Li ◽  
...  
Keyword(s):  
Hybrid Method ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Transportation Systems ◽  
Negative Effects ◽  
Agent Based ◽  
Traffic Demand ◽  
Assignment Model ◽  
Subway System

Traffic congestion, especially during peak hours, has become a challenge for transportation systems in many metropolitan areas, and such congestion causes delays and negative effects for passengers. Many studies have examined the prediction of congestion; however, these studies focus mainly on road traffic, and subway transit, which is the main form of transportation in densely populated cities, such as Tokyo, Paris, and Beijing and Shenzhen in China, has seldom been examined. This study takes Shenzhen as a case study for predicting congestion in a subway system during peak hours and proposes a hybrid method that combines a static traffic assignment model with an agent-based dynamic traffic simulation model to estimate recurrent congestion in this subway system. The homes and work places of the residents in this city are collected and taken to represent the traffic demand for the subway system of Shenzhen. An origin-destination (OD) matrix derived from the data is used as an input in this method of predicting traffic, and the traffic congestion is presented in simulations. To evaluate the predictions, data on the congestion condition of subway segments that are released daily by the Shenzhen metro operation microblog are used as a reference, and a comparative analysis indicates the appropriateness of the proposed method. This study could be taken as an example for similar studies that model subway traffic in other cities.

Analysis and Optimization of Hangzhou East Area Traffic Based on the Congestion Index Detection Platform

2014 ◽  
Vol 1030-1032 ◽  
pp. 2182-2186
Author(s):  
Ling Yan Ge ◽  
Bi Feng Zhu
Keyword(s):  
Automobile Industry ◽  
Traffic Congestion ◽  
High Speed ◽  
Road Traffic ◽  
Rapid Development ◽  
Traffic Demand ◽  
The Road ◽  
Fast Pace ◽  
Urbanization In China ◽  
Congestion Index

With the rapid development of urbanization in China and the motorization’s fast pace of high speed as well as the national automobile industry process, many cities in our country have been facing a huge problem - traffic congestion in recent years. And the essence of the problem is the imbalance between road traffic supply and traffic demand in the process of urban development. Aimed at the problem of traffic congestion, this paper based on Hangzhou city’s traffic congestion index of monitoring data from testing platform and statistical data from field survey , studied the Hangzhou east area of road traffic running situation, analyzed the causes of the east area of Hangzhou road congestion, and thus to adjust and optimize the road traffic system of the area, put forward reasonable system solutions and proposals to improve the management level

Corporate Citizenship Consideration at IMCL: A Case Study

2016 ◽  
Vol 5 (1) ◽  
pp. 62-71 ◽  
Author(s):  
Mustaghis-ur-Rahman ◽  
Mati-ur-Rahman
Keyword(s):  
Traffic Congestion ◽  
Road Traffic ◽  
Corporate Citizenship ◽  
Central Place ◽  
Road Traffic Injury ◽  
Development Environment ◽  
Protection Measures ◽  
Planned Community ◽  
On The Road

Indus Motor Company Limited (IMCL)1 was playing a role in helping the underprivileged communities living in the surroundings of it to help them meet health and education challenges since the inception of the company in 1989. It is from the year 2006 that corporate social responsibility (CSR) got a central place among the IMCL’s activities with the provision of 1 per cent of profit before tax (PBT) annually. In the last 5 years, IMCL has contributed ₹ 200 million in CSR activities. Besides, IMCL has been at the forefront on the call of the nation in need. It has been actively engaged in the relief efforts of rehabilitating the sufferers, of the earth quake in 2005, those effected of the war on terror in 2007/2008 and to the survivors of the 2010/2011’s devastating floods in the country. IMCL’s has set unique examples of CSR in the sense that it has planned community development, environment protection measures and research on the road safety, and traffic congestion under its ‘Concern Beyond Cars’ programme in the light of United Nations Global Compact Pakistan Local Network’s (UNGC)2 10 principles. This case study was sponsored by the UNGC. The case deals with the IMCL leader’s concerns which were beyond making cars. The leader of the company chalked out a path for discharging the company’s CSR in non-traditional way by having programmes for Road Traffic Injury Research Project in collaboration with the specialized health and engineering institutions along with other social development projects.

scholarly journals Networked Electronic Equipments Using the IEEE 1451 Standard—VisioWay: A Case Study in the ITS Area

2012 ◽  
Vol 8 (4) ◽  
pp. 467124 ◽  
Author(s):  
F. Barrero ◽  
S. L. Toral ◽  
M. Vargas ◽  
J. Becerra
Keyword(s):  
Video Processing ◽  
Intelligent Transportation Systems ◽  
Road Traffic ◽  
Traffic Monitoring ◽  
Transportation Systems ◽  
New Paradigm ◽  
Ieee 1451 ◽  
The Impact ◽  
Smart Transducer

The concept of Intelligent Transportation Systems (ITSs) has been recently introduced to define modern embedded systems with enhanced digital connectivity, combining people, vehicles, and public infrastructure. The smart transducer concept, on the other hand, has been established by the IEEE 1451 standard to simplify the scalability of networked electronic equipments. The synergy of both concepts will establish a new paradigm in the near future of the ITS area. The purpose of this paper is to analyze the integration of electronic equipments into intelligent road-traffic management systems by using the smart transducer concept. An automated video processing sensor for road-traffic monitoring applications is integrated into an ITS network as a case study. The impact of the IEEE 1451 standard in the development and performance of ITS equipments is analyzed through its application to this video-based system, commercialized under the name VisioWay.

INTELLIGENT TRANSPORTATION SYSTEMS IN IMPROVING TRAFFIC FLOW IN TOURISM DESTINATIONS∗

2007 ◽  
Vol 13 (3) ◽  
pp. 627-636
Author(s):  
Edna Mrnjavac ◽  
Robert Marsanić
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Emergency Services ◽  
Road Traffic ◽  
Weather Conditions ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Transportation Infrastructure ◽  
Public Traffic ◽  
Tourism Destinations

The rapid growth and development of motorisation combined with relatively small investments made to improving transportation infrastructure in cities, as well as in tourism destinations, has led to serious problems in the unobstructed movement of vehicles in public traffic areas. Traffic congestion on roadways, in ferryboat ports and at state borders during the summer months and year-round lines of cars going to or returning from work are a regular presence in traffic in most urban and tourism destinations in Croatia, as well as in the rest of Europe. Intelligent transportation systems (ITS) can be implemented in urban and tourism centres, which, for example, have no opportunity for increasing the capacity of their traffic networks by constructing new, or expanding existing, transportation infrastructure, and no opportunity for increasing parking capacities. The only solution would be to optimise traffic networking by introducing intelligent technologies. Intelligent transportation systems and services represent a coupling of information and telecommunication technologies with transportation means and infrastructure to ensure greater efficiency in the mobility of people and goods. ITS implementation helps to provide better information to motorists and travellers (tourists); improve traffic and tourist flows, cargo transportation, public passenger-transportation; facilitate the work of emergency services; enable electronic traffic-related payments; enhance the security of people in road traffic; and monitor weather conditions and the environment. To motorists the system provides guidance to roads on which traffic is less intense, guidance to available parking spaces, and guidance, for example, to a good restaurant or interesting tourist attraction. his paper focuses, in particular, on ITS application in city and tourism destinations in connection with parking problems. Guiding vehicles to the closest vacant parking space helps to reduce traffic congestion, reduce the amount of time lost in searching and increase the occupancy rate of car-parks

Road Traffic Congestion (TraCo) Estimation Using Multi-Layer Continuous Virtual Loop (MCVL)

2021 ◽  
Vol 17 (2) ◽  
pp. 46-71
Author(s):  
Manipriya Sankaranarayanan ◽  
Mala C. ◽  
Samson Mathew
Keyword(s):  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Vehicle Detection ◽  
Transportation Systems ◽  
Traffic Information ◽  
Traffic Characteristics ◽  
Traffic Video ◽  
Virtual Loop

Any road traffic management application of intelligent transportation systems (ITS) requires traffic characteristics data such as vehicle density, speed, etc. This paper proposes a robust and novel vehicle detection framework known as multi-layer continuous virtual loop (MCVL) that uses computer vision techniques on road traffic video to estimate traffic characteristics. Estimations of traffic data such as speed, area occupancy and an exclusive spatial feature named as corner detail value (CDV) acquired using MCVL are proposed. Further, the estimation of traffic congestion (TraCo) level using these parameters is also presented. The performances of the entire framework and TraCo estimation are evaluated using several benchmark traffic video datasets and the results are presented. The results show that the improved accuracy in vehicle detection process using MCVL subsequently improves the precision of TraCo estimation. This also means that the proposed framework is well suited to applications that need traffic characteristics to update their traffic information system in real time.

Analyzing and Soft Solutions to Vehicle Traffic Problems in Crowded Institutions

2021 ◽  
pp. 189-213
Author(s):  
Said Ali Hassan ◽  
Seraj Yousef Abed ◽  
Wael Salah Hassanein
Keyword(s):  
Saudi Arabia ◽  
Traffic Congestion ◽  
Negative Effects ◽  
Scientific Methods ◽  
Vehicle Traffic ◽  
Analysis Process ◽  
Huge Data ◽  
Far Future ◽  
Waiting Lines

There is no doubt that the traffic problem is one of the problems faced by universities in different intensities for roads, intersections, and parklands. The negative effects of traffic congestion and bottlenecks are clear; they include extension of long waiting lines and increasing the time of transport with the consequences of ill effects. The effective solutions placed to resolve these problems need specialized studies relying on scientific methods for collecting and analyzing relevant data and drawing effective conclusions, recommendations, and solutions. The main purpose of this study is to analyze the problems of traffic congestion in crowded institutions, with realistic application to an anonymous University in Saudi Arabia as a case study and to provide the best solutions to achieve fluent flow of traffic at the present time and in the near and far future. Due to the complexity of the problem and its huge data and to facilitate the analysis process, the problem has been divided into three main sections, and the data is collected in four different ways.

scholarly journals Assessing Overnight Parking Infrastructure Policies for Commercial Vehicles in Cities Using Agent-Based Simulation

2020 ◽  
Vol 12 (7) ◽  
pp. 2673 ◽  
Author(s):  
Raja Gopalakrishnan ◽  
André Romano Alho ◽  
Takanori Sakai ◽  
Yusuke Hara ◽  
Lynette Cheah ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Choice Model ◽  
Critical Element ◽  
Heavy Vehicles ◽  
Negative Externalities ◽  
Commercial Vehicles ◽  
Agent Based ◽  
Urban Freight ◽  
Urban Freight Transport

Urban freight transport is primarily fulfilled by commercial road vehicles. Within cities, overnight parking is a critical element influencing commercial vehicle operations, particularly for heavy vehicles with limited parking options. Providing adequate overnight parking spaces for commercial vehicles tends to be a challenge for urban planners. Inadequate parking supply can result in illegal parking and additional vehicle kilometers traveled, contributing to traffic congestion and air pollution. The lack of tools for evaluating the impacts of changing parking supply is an impediment in developing parking-related solutions that aim to minimize the negative externalities. In this study, we develop an overnight parking choice model for heavy commercial vehicles and integrate it with SimMobility, an agent-based urban simulation platform, demonstrating the potential of this tool for policy evaluation. Using simulations applied to a case study in Singapore, we compare two parking supply scenarios in terms of vehicle kilometers traveled due to changes in the first and last trips of vehicle tours, as well as resulting impacts in traffic flows.

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.

scholarly journals Managing Recurrent Congestion of Subway Network in Peak Hours with Station Inflow Control

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Qingru Zou ◽  
Xiangming Yao ◽  
Peng Zhao ◽  
Fei Dou ◽  
Taoyuan Yang
Keyword(s):  
Large Scale ◽  
Practical Applications ◽  
C Programming Language ◽  
Passenger Flow ◽  
Assignment Model ◽  
C Programming ◽  
Subway System ◽  
And Control ◽  
Internal Relationship

Station inflow control (SIC) is an important and effective method for reducing recurrent congestion during peak hours in the Beijing, Shanghai, and Guangzhou subway systems. This work proposes a practical and efficient method for establishing a static SIC scheme in normal weekdays for large-scale subway networks. First, a traffic assignment model without capacity constraint is utilized to determine passenger flow distributions on the network. An internal relationship between station inflows and section flows is then constructed. Second, capacity bottlenecks are identified by considering the transport capacity of each section. Then, a feedback-based bottleneck elimination strategy is established to search target control stations and determine their control time and control strength. To validate the effectiveness of the proposed approach, a decision support system coded in the C# programming language was developed, and the Beijing subway was used as a case study. The results indicate that the proposed method and tool are capable of practical applications, and the generated SIC plan has better performance over the existing SIC plan. This study provides a practical and useful method for operation agencies to construct SIC schemes in the subway system.

Intelligence in traffic simulation model: Modeling congested network

2021 ◽  
pp. 1-7
Author(s):  
Joonho Ko ◽  
Hyun Woong Cho ◽  
Jung In Kim ◽  
Hyunmyung Kim ◽  
Young-Joo Lee ◽  
...  
Keyword(s):  
Traffic Congestion ◽  
Traffic Simulation ◽  
Simulation Models ◽  
Transportation Systems ◽  
Priority Rules ◽  
Traffic Demand ◽  
Congested Traffic ◽  
Traffic Conditions ◽  
Trip Chain ◽  
The Difference

Traffic simulation tools are becoming more popular as complexity and intelligence are growing in transportation systems. The need for more accurate and intelligent traffic modeling is increasing rapidly as transportation systems are having more congestion problems. Although traffic simulation models have been continuously updated to represent various traffic conditions more realistically, most simulation models still have limitations in overcapacity congested traffic conditions. In traditional traffic simulation models, when there is no available space due to traffic congestion, additional traffic demand may never be allowed to enter the network. The objective of this paper is to investigate one possible method to address the issue of unserved vehicles in overcapacity congested traffic conditions using the VISSIM trip chain. The VISSIM trip chain is used for this analysis as it has the advantage of holding a vehicle without eliminating it when traffic congestion prevents its entrance onto a network. This will allow the vehicle to enter when an acceptable gap becomes available on the entry link. To demonstrate the difference between the simulation using standard traffic input and the trip chain method, a sample congested traffic network is built and congested traffic scenarios are created. Also, simulations with different minimum space headway parameters in the priority rules are analyzed to model congested traffic conditions more realistically. This will provide the insight about the sensitivity of the model to this parameter. Based on the analysis conducted it is concluded that, with appropriate calibrations, the trip chain feature in VISSIM has the potentials to be useful in modeling overcapacity congested traffic conditions more realistically.

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