Estimating the travel time of any path (denoted by a sequence of connected road segments)
in a city is of great importance to traffic monitoring, route planning, ridesharing, taxi/Uber …

Vehicle travel time estimation or estimated time of arrival (ETA) is one of the most important
location-based services (LBS). It is becoming increasingly important and has been widely …

In this paper, we propose a citywide and real-time model for estimating the travel time of any
path (represented as a sequence of connected road segments) in real time in a city, based …

The estimated time of arrival (ETA) is a critical task in the intelligent transportation system,
which involves the spatiotemporal data. Despite a significant amount of prior efforts have …

Estimating the origin-destination travel time is a fundamental problem in many location-
based services for vehicles, eg, ride-hailing, vehicle dispatching, and route planning. Recent …

Although vehicle location-based services are prevalent outdoors, we are back into darkness
in many GPS blocked environments, such as tunnels, indoor parking garages, and multilevel …

In intelligent logistics systems, predicting the Estimated Time of Pick-up Arrival (ETPA) of
packages is a crucial task, which aims to predict the courier's arrival time to all the unpicked …

Travel times in urban road networks are highly stochastic. However, most existing travel time
estimation methods only estimate the mean travel times, while ignoring travel time …

Instant delivery services, such as food delivery and package delivery, have achieved
explosive growth in recent years by providing customers with daily-life convenience. An …

Travel time estimation is one of the core tasks for the development of intelligent
transportation systems. Most previous works model the road segments or intersections …