scholarly journals Dynamic Assignment Problem of Urban Traffic Flows

1977 ◽  
Vol 13 (1) ◽  
pp. 28-34
Author(s):  
Yuichiro ANZAI ◽  
Yoshio HAYASHI
Keyword(s):  
Assignment Problem ◽  
Urban Traffic ◽  
Traffic Flows ◽  
Dynamic Assignment

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.

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.

Urban Traffic Flows and Fourier Transforms

2010 ◽  
Vol 26 (3) ◽  
pp. 261-281 ◽  
Author(s):  
Dimitrios S. Dendrinos
Keyword(s):  
Fourier Transforms ◽  
Urban Traffic ◽  
Traffic Flows

Contested Spaces

Transfers ◽  
2011 ◽  
Vol 1 (2) ◽  
pp. 29-49 ◽  
Author(s):  
Ruth Oldenziel ◽  
Adri Albert de la Bruhèze
Keyword(s):  
Comparative Research ◽  
Mass Scale ◽  
Urban Traffic ◽  
Urban Mobility ◽  
Traffic Flows ◽  
Historical Evidence ◽  
Contested Spaces ◽  
Sustainable Solutions ◽  
Grass Roots ◽  
Sustainable Urban Mobility

Today most cities emphasize the construction of separate bicycle lanes as a sure path toward sustainable urban mobility. Historical evidence shows a singular focus on building bicycle lanes without embedding them into a broader bicycle culture and politics is far too narrow. Bicycle lanes were never neutral, but contested from the start. Based on comparative research of cycling history covering nine European cities in four countries, the article shows the crucial role representations of bicycles play in policymakers' and experts' planning for the future. In debating the regulation of urban traffic flows, urban-planning professionals projected separate lanes to control rather than to facilitate working- class, mass-scale bicycling. Significantly, cycling organizations opposed the lanes, while experts like traffic engineers and urban planners framed automobility as the inevitable modern future. Only by the 1970s did bicycle lanes enter the debate as safe and sustainable solutions when grass-roots cyclists' activists campaigned for them. The up and downs of bicycle lanes show the importance of encouraging everyday utility cycling by involving diverse social groups.

Traffic management in cities

2019 ◽  
Author(s):  
Елена Андреева ◽  
Elena Andreeva ◽  
Кристиан Бёттгер ◽  
Kristian Bettger ◽  
Екатерина Белкова ◽  
...  
Keyword(s):  
Traffic Management ◽  
Engineering Students ◽  
Urban Traffic ◽  
Urban Transport ◽  
Population Increase ◽  
Transport Systems ◽  
Traffic Flows ◽  
Organization And Management ◽  
Wide Range ◽  
Traffic Management System

The monograph is devoted to the consideration of issues relevant to the vast majority of cities-the organization and management of traffic flows to improve the mobility of the population, increase the speed and reduce the cost of transportation of passengers and goods, reduce the burden on the environment, etc. The book provides an overview of existing models, methods and tools for modeling and managing traffic flows in cities. The author identifies the main modern challenges to sustainable development of urban transport systems, which should be taken into account in the development of urban traffic management system. The authors substantiate the need for a systematic approach in the development of traffic management systems in cities and propose a practical tool for its implementation — an integrated digital platform for urban traffic management. Describes the experience of creation and application of an integrated automated control system of traffic management TransInfo and its improved version RITM, for the city of Moscow. In conclusion, the forecast of further development of research and development in the field of modeling and management of transport mobility is given. The book is of interest to a wide range of readers involved in the modeling and management of traffic flows, experts in the field of transport planning, scientists, engineers, economists and mathematicians, as well as graduate students and engineering students.

Towards a realistic optimization of urban traffic flows

2012 ◽  
Author(s):  
F. Angius ◽  
M. Reineri ◽  
C.-F. Chiasserini ◽  
M. Gerla ◽  
G. Pau
Keyword(s):  
Urban Traffic ◽  
Traffic Flows

A reputation-based framework to support dynamic car-pooling1,2

2020 ◽  
Vol 14 (1) ◽  
pp. 89-102
Author(s):  
Maria Nadia Postorino ◽  
Giuseppe M.L. Sarnè
Keyword(s):  
Time Slot ◽  
Routing Algorithm ◽  
Simulated Data ◽  
Urban Traffic ◽  
Traffic Flows ◽  
On Demand ◽  
Road Congestion ◽  
Individual Mobility ◽  
Multi Agent ◽  
The Individual

 In the last decades, individual urban traffic flows have increased all over the world with a consequent growth of road congestion and environmental pollution. In this context, car-pooling is an interesting car-based alternative to satisfy the individual mobility demand by optimizing the car loading factor with respect to the number of passengers, provided that all the participants share trip origin and destination in the same time slot. To make the system more appealing, this paper proposes an on-demand car-pooling service adopting variable fares, on the basis of trip length and number of participants. Multi-agent, reputation and recommender system technologies in synergy with a routing algorithm have been used to this aim. Experiments on simulated data proved the potentiality of the proposed approach.

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