A multiple colonies artificial bee colony algorithm for a capacitated vehicle routing problem and re-routing strategies under time-dependent traffic congestion
Abstract An Online Vehicle Routing Problem is a formation of Capacitated Vehicle Routing
Problem with re-routing strategy to resolve the problem of inefficient vehicle routing caused …
Problem with re-routing strategy to resolve the problem of inefficient vehicle routing caused …
Determinants of safe and productive truck driving: Empirical evidence from long-haul cargo transport
Using GPS data of 370 long-haul trips in India, survey data of 49 truck drivers, and ERP
data, this study examines the role of driver personality characteristics in predicting risky and …
data, this study examines the role of driver personality characteristics in predicting risky and …
Adaptive traffic signal control for developing countries using fused parameters derived from crowd-source data
Advancement of mobile technologies has enabled economical collection, storage,
processing, and sharing of traffic data. These data are made accessible to intended users …
processing, and sharing of traffic data. These data are made accessible to intended users …
Automatic traffic surveillance using video tracking
B Nemade - Procedia Computer Science, 2016 - Elsevier
Road traffic and traffic congestion is major problem worldwide. This system uses video
surveillance as it comes as the most economical technique for monitoring road traffic …
surveillance as it comes as the most economical technique for monitoring road traffic …
Delineating traffic congestion zones in cities: An effective approach based on GIS
Identifying congested areas for implementing road pricing is a complicated task, especially
as traffic speed and other census data may not be readily available before a detailed …
as traffic speed and other census data may not be readily available before a detailed …
Chameleon: Latency and resolution aware task offloading for visual-based assisted driving
Emerging visual-based driving assistance systems involve time-critical and data-intensive
computational tasks, such as real-time object recognition and scene understanding. Due to …
computational tasks, such as real-time object recognition and scene understanding. Due to …
Bayesian spatiotemporal gaussian process for short-term load forecasting using combined transportation and electricity data
Smart cities can be viewed as large-scale Cyber-Physical Systems (CPS) where different
sensors and devices record the cyber and physical indicators of the city systems. The …
sensors and devices record the cyber and physical indicators of the city systems. The …
FlexSensing: A QoI and latency-aware task allocation scheme for vehicle-based visual crowdsourcing via deep Q-network
Vehicle-based visual crowdsourcing is an emerging paradigm where the visual data
collected from dash cameras are analyzed with the aim of measuring phenomena of …
collected from dash cameras are analyzed with the aim of measuring phenomena of …
An infrastructure-assisted crowdsensing approach for on-demand traffic condition estimation
SA Rahman, A Mourad, M El Barachi - IEEE Access, 2019 - ieeexplore.ieee.org
With the widespread use of smartphones and the continuous increase of their capabilities, a
new sensing paradigm has emerged: mobile crowdsensing. The concept of crowdsensing …
new sensing paradigm has emerged: mobile crowdsensing. The concept of crowdsensing …
Understanding sudden traffic jams: From emergence to impact
Road traffic jams are a major problem in most cities of the world, resulting in massive delays,
increased fuel wastage, and monetary and productivity losses. Unlike conventional …
increased fuel wastage, and monetary and productivity losses. Unlike conventional …