Emerging information and communication technologies: the challenges for the dynamic freight management in city logistics
Recently, the evolution of emerging information and communication technologies (e-ICTs)
has opened the road for developing and implementing new integrated and dynamic city …
has opened the road for developing and implementing new integrated and dynamic city …
Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions
Personalized route recommendation aims to recommend routes based on users' route
preference. The vast amount of GPS trajectories tracking driving behavior has made deep …
preference. The vast amount of GPS trajectories tracking driving behavior has made deep …
[HTML][HTML] Global path preference and local response: A reward decomposition approach for network path choice analysis in the presence of visually perceived …
Y Oyama - Transportation Research Part A: Policy and Practice, 2024 - Elsevier
This study performs an attribute-level analysis of the global and local path preferences of
network travelers. To this end, a reward decomposition approach is proposed and integrated …
network travelers. To this end, a reward decomposition approach is proposed and integrated …
[HTML][HTML] Capturing positive network attributes during the estimation of recursive logit models: A prism-based approach
Y Oyama - Transportation Research Part C: Emerging …, 2023 - Elsevier
Although the recursive logit (RL) model has been recently popular and has led to many
applications and extensions, an important numerical issue with respect to the computation of …
applications and extensions, an important numerical issue with respect to the computation of …
[HTML][HTML] Achieving social routing via navigation apps: User acceptance of travel time sacrifice
Trip information and navigation systems are expected to become key components of future
traffic management strategies, which, if properly exploited, may contribute to the mitigation of …
traffic management strategies, which, if properly exploited, may contribute to the mitigation of …
A credit charging scheme incorporating carpool and carbon emissions
F Zong, M Zeng, J Lv, C Wang - Transportation Research Part D: Transport …, 2021 - Elsevier
Although shared mobility will mitigate congestion and emissions, car trip frequencies and
vehicle miles traveled are likely to rise. The tradable credit scheme (TCS) is a key tool for …
vehicle miles traveled are likely to rise. The tradable credit scheme (TCS) is a key tool for …
A vehicle-by-vehicle approach to assess the impact of variable message signs on driving behavior
Abstract Variable Message Signs (VMS) provide real-time information on traffic conditions,
making it possible to guide drivers through electronic signs along the road. Relevant …
making it possible to guide drivers through electronic signs along the road. Relevant …
Models for forecasting the traffic flow within the city of Ljubljana
Efficient traffic management is essential in modern urban areas. The development of
intelligent traffic flow prediction systems can help to reduce travel times and maximize road …
intelligent traffic flow prediction systems can help to reduce travel times and maximize road …
[HTML][HTML] How different network disturbances affect route choice of public transport passengers. A descriptive study based on tracking
Public transport networks are affected daily by disturbances with different entities. While big
service disturbances (or disruptions) are rare, delays and cancelled runs are more frequent …
service disturbances (or disruptions) are rare, delays and cancelled runs are more frequent …
Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm
Abstract We propose a Recursive Logit (STD-RL) model for routing policy choice in a
stochastic time-dependent (STD) network, where a routing policy is a mapping from states to …
stochastic time-dependent (STD) network, where a routing policy is a mapping from states to …