Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches
In recent years, the concept of smart cities has become increasingly important in the pursuit
of sustainable development goals. In general, common urban challenges have been …
of sustainable development goals. In general, common urban challenges have been …
Ontology-based information integration: A state-of-the-art review in road asset management
As a novel and efficient method of knowledge management, ontology provides a machine-
processable technique to establish structured knowledge/information for effective …
processable technique to establish structured knowledge/information for effective …
Edge based Web Computing for Traffic Control Management for Distributed Environment Conditions
The transportation infrastructure of every metropolitan region acts as the area's backbone,
and traffic management is a tough effort due to the complexity of the interactions between …
and traffic management is a tough effort due to the complexity of the interactions between …
A Survey on Adaptive Smart Urban Systems
The urbanisation of the last century has created a significant demand for urban areas to
deliver public services that are efficient, sustainable, and adaptable. This demand is further …
deliver public services that are efficient, sustainable, and adaptable. This demand is further …
The effect of drivers' demographic characteristics on road accidents in different seasons using data mining
Sažetak According to World Health Organization, each year, over 1.2 million people die on
roads, and between 20 and 50 million suffer non-fatal injuries. Based on international …
roads, and between 20 and 50 million suffer non-fatal injuries. Based on international …
Integrating GIS and BIM for community-scale energy modeling
To achieve energy-efficient design in urban communities, the design phase needs to adopt
reliable energy modeling approaches. However, current urban modeling approaches often …
reliable energy modeling approaches. However, current urban modeling approaches often …
A semantic‐based classification and regression tree approach for modelling complex spatial rules in motor vehicle crashes domain
Innovative data mining and knowledge discovery approaches that take advantage of
geospatial analysis can be useful for analysis of motor vehicle crashes on regional highway …
geospatial analysis can be useful for analysis of motor vehicle crashes on regional highway …
Big data in road transport and mobility research
Ubiquitous computing has changed the acquisition of mobility data, with two aspects
contributing: the high penetration rate and the ability to capture and share information on a …
contributing: the high penetration rate and the ability to capture and share information on a …
Geo‐referencing naturalistic driving data using a novel method based on vehicle speed
Naturalistic driving is an experimentation model that allows us to recognise the driving
modes observing the driver's behaviour at the wheel of a set of people in natural conditions …
modes observing the driver's behaviour at the wheel of a set of people in natural conditions …
Sestocross: Semantic expert system to manage single-lane road crossing
A Córdoba, JJ Astrain, J Villadangos… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper presents an Advanced Driver Assistance System called SesToCross, which
helps those vehicle drivers who want to cross an intersection nonsignalized. SesToCross is …
helps those vehicle drivers who want to cross an intersection nonsignalized. SesToCross is …