English
Related papers

Related papers: Data-driven assessment for the predictability of O…

200 papers

Accurate and reliable travel time predictions in public transport networks are essential for delivering an attractive service that is able to compete with other modes of transport in urban areas. The traditional application of this…

Machine Learning · Statistics 2021-04-15 Niklas Christoffer Petersen , Filipe Rodrigues , Francisco Camara Pereira

This paper proposes an approach to analyze the impact of multimodal Public Transit (PT), combining conventional fixed-route transit and Demand-Responsive Transit (DRT), on equality in transport accessibility distribution. We construct a…

Physics and Society · Physics 2022-10-18 Cathia Le Hasif , Andrea Araldo , Stefania Dumbrava , Dimitri Watel

Developing safe infrastructure for micromobility like bicycles or e-scooters is an efficient pathway towards climate-friendly, sustainable, and livable cities. However, urban micromobility infrastructure is typically planned ad-hoc and at…

Computers and Society · Computer Science 2023-10-31 Pietro Folco , Laetitia Gauvin , Michele Tizzoni , Michael Szell

Shared Autonomous Vehicles (SAVs) enable transit agencies to design more agile and responsive services at lower operating costs. This study designs and evaluates a semi-on-demand hybrid route directional service in the public transit…

Systems and Control · Electrical Eng. & Systems 2026-02-24 Max T. M. Ng , Florian Dandl , Hani S. Mahmassani , Klaus Bogenberger

Mobility-on-Demand (MoD) services have been an active research topic in recent years. Many studies focused on developing control algorithms to supply efficient services. To cope with a large search space to solve the underlying vehicle…

Systems and Control · Electrical Eng. & Systems 2023-08-11 Fynn Wolf , Roman Engelhardt , Yunfei Zhang , Florian Dandl , Klaus Bogenberger

Passenger waiting time prediction plays a critical role in enhancing both ridesharing user experience and platform efficiency. While most existing research focuses on post-request waiting time prediction with knowing the matched driver…

Artificial Intelligence · Computer Science 2025-08-13 Jie Wang , Guang Wang

Public transportation systems often suffer from unexpected fluctuations in demand and disruptions, such as mechanical failures and medical emergencies. These fluctuations and disruptions lead to delays and overcrowding, which are…

Artificial Intelligence · Computer Science 2024-03-08 Chaeeun Han , Jose Paolo Talusan , Dan Freudberg , Ayan Mukhopadhyay , Abhishek Dubey , Aron Laszka

Improving accessibility is one of the major issues in rural and suburban transportation. With the recent technological improvement of automated vehicles, it is expected that automated demand responsive transit and automated demand…

Physics and Society · Physics 2019-04-17 Young-Jae Lee , Amirreza Nickkar , Mana Meskar

Traditional revenue management relies on long and stable historical data and predictable demand patterns. However, meeting those requirements is not always possible. Many industries face demand volatility on an ongoing basis, an example…

Machine Learning · Computer Science 2023-04-18 Ezgi C. Eren , Zhaoyang Zhang , Jonas Rauch , Ravi Kumar , Royce Kallesen

Mobility-on-demand (MoD) systems, especially ride-hailing systems, have seen tremendous growth in recent years. These systems provide user-centric mobility services, whose users expect a high level of convenience. Waiting for a response…

Systems and Control · Electrical Eng. & Systems 2021-04-06 Florian Dandl , Roman Engelhardt , Klaus Bogenberger

Providing transport users and operators with accurate forecasts on travel times is challenging due to a highly stochastic traffic environment. Public transport users are particularly sensitive to unexpected waiting times, which negatively…

Applications · Statistics 2022-02-25 Hector Rodriguez-Deniz , Mattias Villani

The urban transportation system is a combination of multiple transport modes, and the interdependencies across those modes exist. This means that the travel demand across different travel modes could be correlated as one mode may receive…

Machine Learning · Computer Science 2022-03-18 Mingzhuang Hua , Francisco Camara Pereira , Yu Jiang , Xuewu Chen

Transportation is quickly evolving in the emerging smart city ecosystem with personalized ride sharing services quickly advancing. Yet, the public bus infrastructure has been slow to respond to these trends. With our research, we propose a…

Artificial Intelligence · Computer Science 2020-04-02 Movses Musaelian , Anane Boateng , Md Zakirul Alam Bhuiyan

Autonomous mobility on demand systems, though still in their infancy, have very promising prospects in providing urban population with sustainable and safe personal mobility in the near future. While much research has been conducted on both…

Artificial Intelligence · Computer Science 2017-11-23 Wen Shen , Cristina Lopes

While conventional shared demand-responsive transportation (SDRT) systems mostly operate on a door-to-door policy, the usage of meeting points for the pick-up and drop-off of user groups can offer several advantages, like fewer stops and…

Modelling, simulation, and forecasting offer a means of facilitating better planning and decision-making. These quantitative approaches can add value beyond traditional methods that do not rely on data and are particularly relevant for…

Machine Learning · Computer Science 2021-08-20 Ozioma Paul , Patrick McSharry

Demand-responsive connector (DRC) services are increasingly recognized for their convenience, comfort, and efficiency, offering seamless integrations between travelers' origins/destinations and major transportation hubs such as rail…

Systems and Control · Electrical Eng. & Systems 2024-10-29 Li Zhen , Weihua Gu

As electric vehicle (EV) technologies become mature, EV has been rapidly adopted in modern transportation systems, and is expected to provide future autonomous mobility-on-demand (AMoD) service with economic and societal benefits. However,…

Optimization and Control · Mathematics 2022-10-21 Sihong He , Lynn Pepin , Guang Wang , Desheng Zhang , Fei Miao

Public transit systems are a critical component of major metropolitan areas. However, in the face of increasing demand, most of these systems are operating close to capacity. Under normal operating conditions, station crowding and boarding…

Computers and Society · Computer Science 2016-10-03 Peyman Noursalehi , Haris N. Koutsopoulos

Access to reliable public transportation is essential for addressing socio-economic disparities, particularly in low-income communities that rely heavily on transit for accessing jobs, healthcare, and essential services. This study…

Computers and Society · Computer Science 2024-08-16 Sanaz Sadat Hosseini , Mona Azarbayjani , Jason Lawrence , Hamed Tabkhi