Sustainable monitoring of traffic using clean energy supply has always been a significant
problem for engineers. In this study, we proposed a self-powered smart transportation …

The dynamic spatiotemporal characteristics of queues at urban intersections are crucial to
traffic operation tasks such as signal performance measure and signal optimization. This …

This study develops a combinatorial approach for nonparametric short-term queue length
estimation in terms of cycle-by-cycle partially observed queues from probe vehicles (PV) …

The primary purpose of this study is to develop an explicit dynamical state estimation model
of the right-turn-on-red queue to solve the accuracy problem of the right-turn-on-red …

Can we elaborate a traffic-sensitive eco-driving or GLOSA (Green Light Optimal Speed
Advice) strategy with a frugal amount of data when approaching an intersection? Here is the …

Queue length is a crucial measurement of traffic signal control at urban intersections.
Conventional queue length estimation methods mostly still rely on fixed detectors. The …

Modern home furnishings have solved the most basic housing problems, but how to make
homes more informatized and modern has become the focus of people's growing concern …

This paper introduces link information value obtained by the traffic sensors and presents a
traffic sensor location and flow estimation joint optimization model in an urban road network …

The purpose of setting up variable guidance lanes is to ease the traffic pressure on lanes
with more traffic under the condition of ensuring the traffic capacity of the intersection. This …

This paper proposes a methodology for estimating lane-level traffic state for freeways by
fusing data from intelligent connected vehicles (ICVs) with fixed detector data (FDD) and …