Transportation plays a key role in today's economy. Hence, intelligent transportation systems
have attracted a great deal of attention among research communities. There are a few …

The full utilization of Location-Based Vehicle Sensor Data (LB-VSD) can improve the
efficiency of traffic control and management. Currently, LB-VSD is widely applied to the …

Accurate travel-time prediction of public transport is essential for reliable journey planning in
urban transportation systems. However, existing studies on bus travel-/arrival-time prediction …

Accurate travel time prediction is of high value for freight transports, as it allows supply chain
participants to increase their logistics quality and efficiency. It requires both sufficient input …

In this paper, we address the problem of travel time prediction of bus journeys which consist
of bus riding times (may involve multiple bus services) and also the waiting times at transfer …

Public transport buses have uncertainties associated with its arrival/travel times, due to
several factors such as signals, dwell times at bus stops, seasonal variations, fluctuating …

Social media traffic constitutes the highest percentage of Internet traffic. Such traffic is largely
facilitated by mobile devices, which imposes a huge traffic load on backhaul links in 5G …

The accurate prediction of the vehicle mobility in Vehicular Ad-hoc Networks (VANETs) has
a significant effect in the rapid deployment of Intelligent Transport Systems (ITSs) as well as …

In road-based mass transit systems, travel time is a key factor in providing quality of service.
This article proposes a method of predicting travel time for this type of transport system. This …

Recently, achieving high accuracy in bus arrival time prediction has become a hot research
topic. Extensive research has been conducted around this topic, among which fusion of multi …