VNS as an upper bound for an exact method to solve a class of on-demand transit transportation systems

2015 ◽  
Vol 47 ◽  
pp. 101-108 ◽  
Author(s):  
Ezzeddine Fatnassi ◽  
Jouhaina Chaouachi
Author(s):  
Gioele Zardini ◽  
Nicolas Lanzetti ◽  
Marco Pavone ◽  
Emilio Frazzoli

Challenged by urbanization and increasing travel needs, existing transportation systems need new mobility paradigms. In this article, we present the emerging concept of autonomous mobility-on-demand, whereby centrally orchestrated fleets of autonomous vehicles provide mobility service to customers. We provide a comprehensive review of methods and tools to model and solve problems related to autonomous mobility-on-demand systems. Specifically, we first identify problem settings for their analysis and control, from both operational and planning perspectives. We then review modeling aspects, including transportation networks, transportation demand, congestion, operational constraints, and interactions with existing infrastructure. Thereafter, we provide a systematic analysis of existing solution methods and performance metrics, highlighting trends and trade-offs. Finally, we present various directions for further research. Expected final online publication date for the Annual Review of Control, Robotics, and Autonomous Systems, Volume 5 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2021 ◽  
Vol 9 (01) ◽  
pp. 171-180
Author(s):  
Abdurrahman Mete Yazan ◽  
◽  
Antonio Brandao Moniz ◽  

This paper intended to provide a vision on the potential consequences of the introduction of emerging air transportation system which was based on a section of the thesis to contribute to the forming of public and policy opinion.Especially this paper tried to understand whether there were enough positive social and environmental impacts in terms of potential benefits to continue the efforts.The negative impacts are beyond the scope of this paper. Limitations of the current ground and airline transportation systems, increasing congestion, poor block speed, combined with expanding population and demand for affordable on-demand mobility are driving the development of future transportation technology and policy. The third wave of aeronautic,e VTOL (Vertical Takeoff and landing) Air Transportation System, is envisioned as the next logical step in the natural progression and could bring about great new capabilities for society that would bring aviation into a new age of being relevant in daily lives. Considering door to door block time, e VTOL Air Transportation System has the potential to achieve anotherfive-fold increase over the auto today as the auto provided ten-fold increase over the horse, and a daily mobility reach of 125 to 250 miles.The main benefits will be on-demand, point-to-point,safe travel, further and anywhere in less travel time with almost zero environmental impact for general people. Besides, a successful implementation and sustainable transition will depend on overcoming technological hurdles, regulatory frameworks, operational safety, cost competitiveness, and sensibilities of the affected communities.


2017 ◽  
Vol 2 (3) ◽  
pp. 101 ◽  
Author(s):  
Jane W. Kiboi ◽  
Prof. Paul Katuse ◽  
Prof Zachary Mosoti

Purpose: The purpose of this paper was to investigate the price and non-price determinants of demand for air passenger transport among selected airlines.Methodology: The study target population was airlines across the World. The study used a sample of 10 airlines across the World. The airlines included; British Airways, Ethiopian Airways, Emirates , Qatar Airways, Turkish Airlines, South Africa Airlines, China Southern Airlines, Kenya Airways, Egypt air and Air France. Secondary data of the selected airlines was collected from the International Air Transport Association (IATA) for the period from 2005 to 2014. The data collected was analyzed using STATA software to generate descriptive, trends and inferential statistics which were used to derive conclusions and generalizations regarding the population. The panel data regression model was used to determine the relationship between study variables.Results: Based on the findings, the study concluded that both domestic and global interest rates have a negative and significant effect on demand for air passenger transport. Further, the study concluded that GDP growth (domestic), GDP growth (global) and GDP per capita have a positive and significant effect on demand for air passenger transport.Recommendations: Based on the findings, the study recommended that, at a macro level, airlines should consider adjusting their travel prices using the directional movements of the above mentioned variables as a guideline. Based on the findings, the study recommended that governments should use the study of demand drivers to forecast their capital investment plan for the improvement of the air transportation systems in their respective countries and design policies that require use of the demand drivers observed in this study for planning of aviation infrastructure expansion. 


Author(s):  
Taqwa Oday Fahad ◽  
Abduladhem A. Ali

Vehicular ad hoc networks (VANETs) are the core of intelligent transportation systems (ITS) to obtain safety, better transportation services, and improved traffic management. Providing more reliable and efficient on demand routing protocol is one of the main challenges in these networks research scope. This paper argues a compressed fuzzy logic based method to enhance Ad hoc on demand distance vector (AODV) routing decision by jointly considering number of relays, distance factor, direction angle, and vehicles speed variance. The proposed scheme is simulated in both freeway and urban scenarios with different number of vehicles using real time interaction between both OMNet++ and SUMO simulators. Simulation results show that the proposed approach can get better performance in terms of packet delivery ratio, throughput, mean delay, and number of sent control packets.


2019 ◽  
Vol 5 (2) ◽  
pp. 130-138
Author(s):  
Roland Kircher ◽  
Johannes Kluehspies ◽  
Eckert Fritz ◽  
Reiner Koehler

Background: The present situation in megacities is characterized by traffic congestion, capacity limits of public transportation systems. In addition, environmental regulations due to potential health risks will have an increasing impact on urban transportation systems. Aim: In this paper, we describe major technology trends in transportation and in information and communication systems which will influence urban transportation in future megacities. Based on these trends a vision of a sustainable urban transportation system is developed. Method: In a first step, trends in urban development and the individual needs are analyzed. Digitalization of transportation and communication technologies offer new business opportunities for Artificial Intelligence (AI) based services. Results: The intelligent combination of advanced transportation technologies in large buildings and AI based services enables a vision of Mobility on Demand, representing a flexible and sustainable urban transportation in future megacities. Conclusion: The vision Mobility on Demand illustrates the effective and flexible integration of individual transportation needs into public transportation systems. Depending on the standards of future individual vehicles such vehicles could be integrated seamlessly into the urban Maglev transportation system.


1980 ◽  
Vol 14 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Steven R. Lerman ◽  
Martin Flusberg ◽  
Wayne M. Pecknold ◽  
Richard E. Nestle ◽  
Nigel H.M. Wilson

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