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Related papers: Analysis and Control of Autonomous Mobility-on-Dem…

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Autonomous vehicles (AVs) allow new ways of regulating the traffic flow on road networks. Most of available results in this direction are based on microscopic approaches, where ODEs describe the evolution of regular cars and AVs. In this…

Analysis of PDEs · Mathematics 2020-04-21 Mauro Garavello , Paola Goatin , Thibault Liard , Benedetto Piccoli

Ontology is the explicit and formal representation of the concepts in a domain and relations among them. Transportation science is a wide domain dealing with mobility over various complex and interconnected transportation systems, such as…

Artificial Intelligence · Computer Science 2020-12-17 Ali Yazdizadeh , Bilal Farooq

The rising popularity of self-driving cars has led to the emergence of a new research field in the recent years: Autonomous racing. Researchers are developing software and hardware for high performance race vehicles which aim to operate…

We present a fluid-dynamic model for the simulation of urban traffic networks with road sections of different lengths and capacities. The model allows one to efficiently simulate the transitions between free and congested traffic, taking…

Popular Physics · Physics 2007-05-23 Dirk Helbing , Stefan Lämmer , Jean-Patrick Lebacque

The mobility of people is at the center of transportation planning and decision-making of the cities of the future. In order to accelerate the transition to zero-emissions and to maximize air quality benefits, smart cities are prioritizing…

Multiagent Systems · Computer Science 2021-04-16 Antonio Bucchiarone , Martina De Sanctis , Nelly Bencomo

In autonomous Mobility on Demand (MOD) systems, customers request rides from a fleet of shared vehicles that can be automatically positioned in response to customer demand. Recent approaches to MOD systems have focused on environments where…

Robotics · Computer Science 2017-07-25 Justin Miller , Jonathan P. How

Recent years have witnessed an increased focus on interpretability and the use of machine learning to inform policy analysis and decision making. This paper applies machine learning to examine travel behavior and, in particular, on modeling…

Machine Learning · Computer Science 2019-02-11 Xilei Zhao , Xiang Yan , Pascal Van Hentenryck

This study explores the design of an On-Demand Multimodal Transit System (ODMTS) that includes segmented mode switching models that decide whether potential riders adopt the new ODMTS or stay with their personal vehicles. It is motivated by…

Optimization and Control · Mathematics 2019-12-06 Beste Basciftci , Pascal Van Hentenryck

Public transit plays an essential role in mitigating traffic congestion, reducing emissions, and enhancing travel accessibility and equity. One of the critical challenges in designing public transit systems is distributing finite service…

Optimization and Control · Mathematics 2023-08-03 Jiawei Lu , Connor Riley , Krishna Murthy Gurumurthy , Pascal Van Hentenryck

Mobility Management (MM) techniques have conventionally been centralized in nature, wherein a single network entity has been responsible for handling the mobility related tasks of the mobile nodes attached to the network. However, an…

Networking and Internet Architecture · Computer Science 2017-05-26 Akshay Jain , Elena Lopez-Aguilera , Ilker Demirkol

On-demand delivery has become increasingly popular around the world. Motivated by a large grocery chain store who offers fast on-demand delivery services, we model and solve a stochastic dynamic driver dispatching and routing problem for…

Optimization and Control · Mathematics 2022-11-22 Sheng Liu , Zhixing Luo

The potential benefits of autonomous systems have been driving intensive development of such systems, and of supporting tools and methodologies. However, there are still major issues to be dealt with before such development becomes…

Software Engineering · Computer Science 2022-05-25 David Harel , Assaf Marron , Joseph Sifakis

Autonomous driving has shown great potential to reform modern transportation. Yet its reliability and safety have drawn a lot of attention and concerns. Compared with traditional software systems, autonomous driving systems (ADSs) often use…

Software Engineering · Computer Science 2022-09-26 Guannan Lou , Yao Deng , Xi Zheng , Mengshi Zhang , Tianyi Zhang

This paper studies mobility systems that incorporate a substantial solar energy component, generated not only on the ground, but also through solar roofs installed on vehicles, directly covering a portion of their energy consumption. In…

Systems and Control · Electrical Eng. & Systems 2023-05-31 Fabio Paparella , Theo Hofman , Mauro Salazar

Mobility-on-demand (MoD) systems represent a rapidly developing mode of transportation wherein travel requests are dynamically handled by a coordinated fleet of vehicles. Crucially, the efficiency of an MoD system highly depends on how well…

Machine Learning · Statistics 2022-05-05 Daniele Gammelli , Filipe Rodrigues

Autonomous vehicles have been actively investigated over the past few decades. Several recent works show the potential of autonomous vehicles in urban environments with impressive experimental results. However, these works note that…

Robotics · Computer Science 2024-03-21 Doosan Baek , Sanghyun Kim , Seung-Woo Seo , Sang-Hyun Lee

On-Demand Ride-Pooling services have the potential to increase traffic efficiency compared to private vehicle trips by decreasing parking space needed and increasing vehicle occupancy due to higher vehicle utilization and shared trips,…

Systems and Control · Electrical Eng. & Systems 2023-08-11 Roman Engelhardt , Hani S. Mahmassani , Klaus Bogenberger

The market share of mobility on-demand (MoD) services strongly increased in recent years and is expected to rise even higher once vehicle automation is fully available. These services might reduce space consumption in cities as fewer…

Multiagent Systems · Computer Science 2022-07-29 Roman Engelhardt , Florian Dandl , Arslan-Ali Syed , Yunfei Zhang , Fabian Fehn , Fynn Wolf , Klaus Bogenberger

This paper provides a unified framework for the problem of controlling a fleet of ride-hailing vehicles under stochastic demand. We introduce a sequential decision-making model that consolidates several problem characteristics and can be…

Optimization and Control · Mathematics 2025-12-29 Stefan Pilot , Murwan Siddig

Onboard autonomy technologies such as planning and scheduling, identification of scientific targets, and content-based data summarization, will lead to exciting new space science missions. However, the challenge of operating missions with…