Results 31 to 40 of about 1,336 (189)
Bus Bunching and Bus Bridging: What Can We Learn from Generative AI Tools like ChatGPT?
Sustainability, 2023 Regarding tools and systems from artificial intelligence (AI), chat-based ones from the area of generative AI have become a major focus regarding media coverage.
S. Voß
semanticscholar +1 more source
A self-coördinating bus route to resist bus bunching [PDF]
Transportation Research Part B: Methodological, 2012 The primary challenge for an urban bus system is to maintain constant headways between successive buses. Most bus systems try to achieve this by adherence to a schedule; but this is undermined by the tendency of headways to collapse, so that buses travel in bunches. To counter this, we propose a new method of coordinating buses. Our method abandons the
Bartholdi, John J., III +1 more
openaire +2 more sources
Integrating Conventional Headway Control with Reinforcement Learning to Avoid Bus Bunching [PDF]
arXiv.org, 2022 Bus bunching is a natural-occurring phenomenon that undermines the efficiency and stability of the public transportation system. The mainstream solutions control the bus to intentionally stay longer at certain stations.
Xiheng Wang
semanticscholar +1 more source
Improving service regularity for high-frequency bus services with rescheduling and bus holding
Journal of Traffic and Transportation Engineering (English ed. Online), 2021 In high-frequency bus services, maintaining the service regularity is a critical issue. The service regularity is directly related to the excessive waiting times (EWT) of passengers at bus stops.
Konstantinos Gkiotsalitis
doaj +1 more source
Mixed Scheduling Strategy for High Frequency Bus Routes With Common Stops
IEEE Access, 2020 Bus routes overlapping would lead to more than one bus entering the stop simultaneously, which may trigger bus bunching. Focusing on high frequency routes with common stops, this paper proposes a mixed scheduling method combining the all-stop service and
Yiming Bie +3 more
doaj +1 more source
Journal of Advanced Transportation, 2021 Operational efficiency and stability are two critical aspects to measure bus systems. Influenced by many stochastic factors, buses always suffer from delay and bunching.
Hui Zhang +5 more
doaj +1 more source
Finding Causes of Irregular Headways Integrating Data Mining and AHP
ISPRS International Journal of Geo-Information, 2015 Irregular headways could reduce the public transit service level heavily. Finding out the exact causes of irregular headways will greatly help to develop efficient strategies aiming to improve transit service quality.
Shi An, Xinming Zhang, Jian Wang
doaj +1 more source
Generating and Calibrating a Microscopic Traffic Flow Simulation Network of Kyoto
SUMO Conference Proceedings, 2023 Microscopic traffic flow simulations as tools for enabling detailed insights on traffic efficiency and safety gained numerous popularity among transportation researchers, planners and engineers in the first to decades of the 21st century.
Andreas Keler +2 more
doaj +1 more source
Bus Arrivals and Bunching [PDF]
Journal of Statistics Education, 2008 Finding suitable projects for introductory courses that blend real-world data with relevant questions and feasible instructor effort is often difficult.
openaire +1 more source
A Decision Tree Ensemble Model for Predicting Bus Bunching
The Computer Journal, 2021 Abstract Travel delays and bus overcrowding are some of the daily dissatisfactions of public transportation users. These problems may be caused by bus bunching, an event that occurs when two or more buses are running the same route together, i.e. out of schedule.
Veruska Borges Santos +3 more
openaire +1 more source