The use of wireless location technology and mobile phone data appears to offer a broad
range of new opportunities for sophisticated applications in traffic management and …

Driver identification has been popular in the field of driving behavior analysis, which has a
broad range of applications in anti-thief, driving style recognition, insurance strategy, and …

Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …

Big data for social transportation brings us unprecedented opportunities for resolving
transportation problems for which traditional approaches are not competent and for building …

The operation of traffic signals is currently limited by the data available from traditional point
sensors. Point detectors can provide only limited vehicle information at a fixed location. The …

As vehicle manufacturers continue to increase their emphasis on safety with advanced
driver-assistance systems (ADASs), we propose a device that is not only already in …

PEIR, the Personal Environmental Impact Report, is a participatory sensing application that
uses location data sampled from everyday mobile phones to calculate personalized …

Cities are encountering extensive deficits in infrastructure service while they are
experiencing rapid technological advancements and overhauls in transportation systems …

Intersection delays are the major contributing factor to arterial delays. Methods to estimate
intersection delay patterns by using measured travel times are studied. The delay patterns …

The Aw-Rascle-Zhang (ARZ) model can be interpreted as a generalization of the Lighthill-
Whitham-Richards (LWR) model, possessing a family of fundamental diagram curves, each …