scholarly journals The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers

2020 ◽  
Vol 12 (22) ◽  
pp. 9478
Author(s):  
Neven Grubisic ◽  
Tomislav Krljan ◽  
Livia Maglić ◽  
Siniša Vilke
Keyword(s):  
Fuel Consumption ◽  
Container Terminal ◽  
Urban Traffic ◽  
Container Terminals ◽  
Critical Parameters ◽  
Traffic Flows ◽  
Traffic Demand ◽  
Gate Time ◽  
The Impact ◽  
The City

The growth of container transport places increasing demand on traffic, especially in situations where container terminals are located near the city centers. The main problem is traffic congestion on networks caused by the integration of Heavy-Duty Vehicles and urban traffic flows. The main objective is to identify the critical traffic parameters which cause negative organizational and environmental impacts on the existing and future traffic demand. A micro-level traffic simulation model was implemented for the testing of the proposed framework-based supply, demand, and control layers. The model was generated and calibrated based on the example of a mid-size Container Terminal “Brajdica” and the City of Rijeka, Croatia. The results indicate that the critical parameters are Queue Length on the approach road to the Container Terminal and the Stop Delay on the main city corridor. High values of these parameters cause negative effects on the environment because of increased fuel consumption and the generation of extra pollution. Due to this problem, a sensitivity analysis of the traffic system performance has been conducted, with a decrement of Terminal Gate Time distribution by 10%. After re-running simulations, the results indicate the impact of subsequent variation in Terminal Gate Time on the decrease of critical parameters, fuel consumption, and vehicle pollution.

scholarly journals Determining the fuel consumption of a public city bus in urban traffic

2021 ◽  
Vol 1199 (1) ◽  
pp. 012080
Author(s):  
M Śmieszek ◽  
V Mateichyk
Keyword(s):  
Fuel Consumption ◽  
Measurement Data ◽  
Urban Traffic ◽  
Stopping Times ◽  
Specific Power ◽  
City Bus ◽  
Acceleration And Deceleration ◽  
Simple Equations ◽  
The Impact ◽  
The City

Abstract The fuel consumption of a public transport bus depends on many factors. Various speeds, acceleration and deceleration modes, stopping times at bus stops and congestion, as well as the load depending on the number of transported passengers have a significant impact on the fuel consumption of the city bus. It is difficult to investigate the influence of these factors on fuel consumption using simple equations to determine the energy efficiency of vehicles. A very useful method in this case is the VSP (Vehicle Specific Power) method. The fuel consumption model based on this method uses a number of parameters. Taking into account the measurement data obtained from the actual mileage of city buses, the relevant parameters of the model were determined. The verified model was used in the process of computer simulation aimed at determining the fuel consumption of the bus in urban traffic. Particular attention was paid to the study of the impact of traffic during rush hours and congestion on fuel consumption. The impact and significance of the selected parameters on the fuel consumption of the city bus were also assessed using computer simulations.

TripRes

2021 ◽  
Vol 17 (2) ◽  
pp. 1-21
Author(s):  
Xiaolong Xu ◽  
Zijie Fang ◽  
Lianyong Qi ◽  
Xuyun Zhang ◽  
Qiang He ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Discrete Distribution ◽  
Resource Provisioning ◽  
Path Selection ◽  
Urban Traffic ◽  
Traffic Flows ◽  
Multimedia Services ◽  
Traffic Flow Prediction ◽  
The City ◽  
Multimedia Surveillance

The Internet of Vehicles (IoV) connects vehicles, roadside units (RSUs) and other intelligent objects, enabling data sharing among them, thereby improving the efficiency of urban traffic and safety. Currently, collections of multimedia content, generated by multimedia surveillance equipment, vehicles, and so on, are transmitted to edge servers for implementation, because edge computing is a formidable paradigm for accommodating multimedia services with low-latency resource provisioning. However, the uneven or discrete distribution of the traffic flow covered by edge servers negatively affects the service performance (e.g., overload and underload) of edge servers in multimedia IoV systems. Therefore, how to accurately schedule and dynamically reserve proper numbers of resources for multimedia services in edge servers is still challenging. To address this challenge, a traffic flow prediction driven resource reservation method, called TripRes, is developed in this article. Specifically, the city map is divided into different regions, and the edge servers in a region are treated as a “big edge server” to simplify the complex distribution of edge servers. Then, future traffic flows are predicted using the deep spatiotemporal residual network (ST-ResNet), and future traffic flows are used to estimate the amount of multimedia services each region needs to offload to the edge servers. With the number of services to be offloaded in each region, their offloading destinations are determined through latency-sensitive transmission path selection. Finally, the performance of TripRes is evaluated using real-world big data with over 100M multimedia surveillance records from RSUs in Nanjing China.

Strangers in the City: Transmigration from Eastern Europe and its Impact on Berlin and Hamburg 1880–1914

2016 ◽  
Vol 2 (2) ◽  
pp. 223-246
Author(s):  
Tobias Brinkmann
Keyword(s):  
United States ◽  
New York ◽  
Eastern Europe ◽  
The United States ◽  
Urban Traffic ◽  
European Cities ◽  
Massive Growth ◽  
Transit Migration ◽  
The Impact ◽  
The City

This article examines the impact of transit migration from the Russian and Austro-Hungarian Empires on Berlin and Hamburg between 1880 and 1914. Both cities experienced massive growth during the last three decades of the nineteenth century, and both served as major points of passage for Eastern Europeans travelling to (and returning from) the United States. The rising migration from Eastern Europe through Central and Western European cities after 1880 coincided with the need to find adequate solutions to accommodate a rapidly growing number of commuters. The article demonstrates that the isolation of transmigrants in Berlin, Hamburg (and New York) during the 1890s was only partly related to containing contagious disease and ‘undesirable’ migrants. Isolating transmigrants was also a pragmatic response to the increasing pressure on the urban traffic infrastructure.

Study on the Impact of Inner Anchorage on Waterway Traffic Capacity

2013 ◽  
Vol 438-439 ◽  
pp. 2013-2016 ◽  
Author(s):  
Wen Yuan Wang ◽  
Guo Lei Tang ◽  
Zi Jian Guo ◽  
Xiang Qun Song ◽  
Peng Cheng Du
Keyword(s):  
Theoretical Foundation ◽  
Container Terminal ◽  
Simulation Method ◽  
Container Terminals ◽  
Major Constraint ◽  
Traffic Capacity ◽  
Overall Performance ◽  
The Impact

As the number of calling ships in container terminals rises, waterways in some harbors have become the major constraint to the overall performance of the ports service. By constructing anchorages, the congestion that happens frequently in harbor can be effectively eased, thus the traffic capacity is greatly enhanced. The purpose of this paper is to study the impact of anchorage number on waterway traffic capacity and provide theoretical foundation when deciding the anchorage scale. A simulation method with consideration of anchorages is adopted to analyze the vessels entering and departing process in coastal container terminal. Results show that waterway traffic capacity and anchorage number are polynomial correlated, waterway traffic capacity increases with the growth of anchorage number and ceases when beyond a certain level. It will be of great help to serve the planning and constructing ports and terminals.

scholarly journals The Feasibility of Opening Communities -- Based on the Wiedemann Car-Following Model

2018 ◽  
Vol 11 (3) ◽  
pp. 57
Author(s):  
Xiao-Yan Cao ◽  
Bing-Qian Liu ◽  
Bao-Ru Pan ◽  
Yuan-Biao Zhang
Keyword(s):  
Traffic Congestion ◽  
Large Scale ◽  
Gated Communities ◽  
Urban Traffic ◽  
Average Delay ◽  
Traffic Demand ◽  
Car Following ◽  
Car Following Model ◽  
Urbanization In China ◽  
The Impact

With the accelerating development of urbanization in China, the increasing traffic demand and large scale gated communities have aggravated urban traffic congestion. This paper studies the impact of communities opening on road network structure and the surrounding road capacity. Firstly, we select four indicators, namely average speed, vehicle flow, average delay time, and queue length, to measure traffic capacity. Secondly, we establish the Wiedemann car-following model, then use VISSIM software to simulate the traffic conditions of surrounding roads of communities. Finally, we take Shenzhen as an example to simulate and compare the four kinds of gated communities, axis, centripetal and intensive layout, and we also analyze the feasibility of opening communities.

scholarly journals Common resources-resource bundling-performance: the mediating role of resource bundling in container terminal operations

2020 ◽  
Vol 50 (9/10) ◽  
pp. 809-831
Author(s):  
Teddy Laksmana ◽  
Himanshu Shee ◽  
Vinh V. Thai
Keyword(s):  
Structural Equation ◽  
Container Terminal ◽  
Service Performance ◽  
Government Support ◽  
Container Terminals ◽  
Equation Modeling ◽  
Content Type ◽  
Common Resources ◽  
Container Terminal Operations ◽  
The Impact

PurposeBuilding on the resource-based view (RBV) perspective of common resources, the objective of this paper is to empirically examine the impact of container terminals' common resources (i.e. government support and terminal resources) on resource bundling strategies and subsequent effect on service performance.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 216 respondents of Indonesia's container terminals, this study used structural equation modeling (SEM) to test the hypothesised relationships between common resources, resource bundling strategies and service performance.FindingsGovernment support and terminal resources (personnel and physical), both as sources of common resources when bundled effectively, are found to have positive and significant effect on terminal service performance. The resource bundling strategies fully mediate the relationship between container terminals' common resources and service performance.Practical implicationsThe study introduces the notion of common resources to container terminal managers in contrast to the valuable, rare, inimitable and non-substitutable (VRIN) types. It is recommended that appropriate resource bundling strategies can turn the common resources into VRIN resources that can be used to obtain desired service performance.Originality/valueRBV theorists suggest that resources that are VRIN types can be the source of competitive advantage. However, the resources can also be common, basic and valuable, a fact that is rarely investigated in the literature. These common resources can be bundled judiciously with other pre-existing resources to create VRIN resources. This research enriches the RBV by empirically validating that VRIN resources are embedded within various common resources bundling strategies.

scholarly journals The use of a simulation model to analyze the impact of heavy transport generated by the port to the city traffic.

2017 ◽  
Vol 42 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Natalia Stasiak ◽  
Leszek Smolarek
Keyword(s):  
Average Length ◽  
Autonomous Vehicle ◽  
Urban Traffic ◽  
Microscopic Simulation ◽  
Traffic Lights ◽  
The Road ◽  
Time Of Travel ◽  
The Impact ◽  
The City ◽  
The Web

Abstract The article presents an analysis of the impact of transport on heavy urban traffic on Wharf Kwiatkowski using program PTV Vissim. The data for analysis were taken from the Road and Greenery in Gdynia from program PTV Visum. Attention has been focused on vehicle traffic in the afternoon the top of its intensity. Model of Kwiatkowskiego Wharf, made entirely in the PTV VISSIM, was used for microscopic simulation of traffic. With its help, it was possible to find and analyze the behavior of each autonomous vehicle and interactions on the Web. For the analysis was used as a program of traffic lights currency at these junctions. The analysis results of simulation in the PTV VISSIM are related to the movement of the two structures. The first assumes that the route will move cars and trucks, taking into account their share in the network based on the intensity of traffic during peak hours of the afternoon, the second consisted only of cars. The results presented are based on measuring the time of travel and delays on specific relationships and the average length of queues at selected inlets. The results of analysis and simulation tests were subjected to statistical analysis.

scholarly journals Introducing a Navigation Algorithm for Reducing the Spread of Diseases in Public Transport Networks

2021 ◽  
Author(s):  
Jens Klinker ◽  
Mohamed Hechem Selmi ◽  
Mariana Avezum ◽  
Stephan Jonas
Keyword(s):  
Travel Time ◽  
Public Transport ◽  
Public Transportation ◽  
Urban Traffic ◽  
Planning Problem ◽  
Navigation Algorithm ◽  
Urban Public Transport ◽  
Flow Through ◽  
The Impact ◽  
The City

Reducing passenger flow through highly frequented bottlenecks in public transportation networks is a well-known urban planning problem. This issue has become even more relevant since the outbreak of the SARS-CoV-2 pandemic and the necessity for minimum distances between passengers. We propose an approach that allows to dynamically navigate passengers around dangerously crowded stations to better distribute the passenger load across an entire urban public transport network. This is achieved through the introduction of new constraints into routing requests, that enable the avoidance of specific nodes in a network. These requests consider walks, bikes, metros, subways, trams and buses as possible modes of transportation. An implementation of the approach is provided in cooperation with the Munich Travel Corporation (MVG) for the city of Munich, to simulate the effects on a real city’s urban traffic flow. Among other factors, the impact on the travel time was simulated given that the two major exchange points in the network were to be avoided. With an increase from 26.5 to 26.8 minutes on the average travel time, the simulation suggests that the time penalty might be worth the safety benefits.

scholarly journals MOTIVATIONS IN MANAGING THE TRANSPORT BEHAVIOR OF THE INHABITANTS OF MEGACITIES

2021 ◽  
Author(s):  
Svitlana Petrovska ◽  
Olena Komchatnyh
Keyword(s):  
Public Transport ◽  
Hidden Variables ◽  
Urban Transport ◽  
Personal Factors ◽  
Traffic Demand ◽  
Transport Behavior ◽  
Consumer Value ◽  
The Impact ◽  
The City

The article considers the main approaches to the analysis of motivation in the management of transport behavior of the inhabitants of megacities. A number of surveys of urban residents confirm that the level of traffic is one of the main problems facing society. Concepts for managing the demand for passenger traffic in the world's cities are considered. The goals, objectives and measures of the concept of traffic demand management are defined and structured. Cities around the world are looking for opportunities to switch drivers from private cars to public transport. Psychological determinants (attitudes, acceptance, interests), which are important but hidden variables in the analysis of transport behavior of megacities, are substantiated. Among them, the content is completely unexpected, those that are not considered in domestic scientific sources to assess the quality of urban transport (and are just beginning to appear in foreign studies). Personal factors of transport behavior (re-choice of route) are considered from the standpoint of a new scientific trend - behavioral economics. Improving the quality of services also determines high ratings of satisfaction and consumer value. Consumer value suffered mainly from the sacrifices of passengers. Based on the findings, a number of management measures were proposed. The TDM concept is one way to manage the demand for transportation. Managing demand for transportation is not a panacea, but it helps solve transportation problems in the city. An analysis of the availability of opportunities to motivate people to use public transport more often (with an acceptable value of the perceived quality of travel). Among the conditions and motives for the transition to the use of public transport to replace the car should be noted: the strength of the impact on the person; unconditional quality of providing basic and additional services when traveling in the city; creation of a person's stable personal beliefs (environmental, sense of their own city, etc.); providing transport information in real time. Fear of loss of time, increased costs, accidents, violation of private space (crowding) is also a strong motive for changing transport behavior.

Developing an Eco-Driving Application for Semi-Actuated Signalized Intersections and Modeling the Market Penetration Rates of Eco-Driving

2019 ◽  
Vol 2673 (5) ◽  
pp. 466-477 ◽  
Author(s):  
Saleh R. Mousa ◽  
Sherif Ishak ◽  
Ragab M. Mousa ◽  
Julius Codjoe
Keyword(s):  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Fuel Consumption ◽  
Signalized Intersections ◽  
Market Penetration ◽  
Automated Vehicles ◽  
Gas Emissions ◽  
Traffic Demand ◽  
The Impact ◽  
Connected Automated Vehicles

Eco-driving is one of the most effective techniques for making the transportation sector more sustainable in relation to fuel consumption and greenhouse gas emissions. Eco-driving applications guide drivers approaching signalized intersections to optimize the fuel consumption and reduce greenhouse gas emissions. Unlike pre-timed traffic signals, developing eco-driving applications for semi-actuated signals is more challenging because of variations in cycle length as a result of fluctuations in traffic demand. This paper presents a framework for developing an eco-driving application for connected/automated vehicles passing through semi-actuated signalized intersections. The proposed algorithm takes into consideration the queue effects because of traditional and connected/automated vehicles. Results showed that the fuel consumption for vehicles controlled by the developed model was 29.2% less than for the case with no control. A sensitivity analysis for the impact of market penetration (MP) indicated that the savings in fuel consumption increase with higher MP. Furthermore, when MP is greater than 50%, the model provides appreciable savings in travel times. In addition, the estimated acceleration noise for the vehicles controlled by the algorithms was 21.9% less than for the case with no control. These reductions in fuel consumption and acceleration noise demonstrate the ability of the algorithm to provide more environmentally sustainable semi-actuated signalized intersections.

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