most citedInferring transportation modes from GPS trajectories using a convolutional neural network

412 citations · 471 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2019★ 24 cited

Survey on Vehicular Ad Hoc Networks and Its Access Technologies Security Vulnerabilities and Countermeasures

Kaveh Bakhsh Kelarestaghi, Mahsa Foruhandeh, Kevin Heaslip +1

In this study, we attempt to add to the literature of Connected and Automated Vehicle (CAV) security by incorporating the security vulnerabilities and countermeasures of the Vehicu…

cs.IR2018★ 1 cited

Twitter-based traffic information system based on vector representations for words

Sina Dabiri, Kevin Heaslip

Recently, researchers have shown an increased interest in harnessing Twitter data for dynamic monitoring of traffic conditions. Bag-of-words representation is a common method in li…

cs.LG2018★ 412 cited

Inferring transportation modes from GPS trajectories using a convolutional neural network

Sina Dabiri, Kevin Heaslip

Identifying the distribution of users' transportation modes is an essential part of travel demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled de…

cs.CR2018★ 17 cited

Vehicle Security: Risk Assessment in Transportation

Kaveh Bakhsh Kelarestaghi, Mahsa Foruhandeh, Kevin Heaslip +1

Intelligent Transportation Systems (ITS) are critical infrastructure that are not immune to both physical and cyber threats. Vehicles are cyber/physical systems which are a core co…

stat.AP2018★ 17 cited

Transport-domain applications of widely used data sources in the smart transportation: A survey

Sina Dabiri, Kevin Heaslip

The rapid growth of population and the permanent increase in the number of vehicles engender several issues in transportation systems, which in turn call for an intelligent and cos…