As a popular research field, autonomous driving may offer great benefits for human society. To achieve that, current studies often applied machine learning methods like reinforcement to enable an agent interact and learn in stimulating environment. However, most simulators lack realistic traffic which cause deficiency interaction. The present study adopted the SMARTS platform create simulator t...

Trajectories of mobile objects, are automatically collected in huge quantities. Publishing and exploiting such data is essential to improve planning, but it threatens the privacy of individuals: re-identification of the individual behind a trajectory is easy unless precautions are taken. We present two heuristics for privacy-preserving publication of trajectories. Both of them publish only true...

We investigate a class of hybrid systems driven by partial differential equations for which the infinite dimensional state can switch in time and in space at the same time. We consider a particular class of such problems (switched Hamilton-Jacobi equations) and define hybrid components as building blocks of hybrid solutions to such problems, using viability theory. We derive sufficient conditio...

A ramp merging decision as an important part of the lane change model plays a crucial role in efficiency and safety entire process. However, due to inevitability on-ramp merging, limitations road environment, conflict between vehicle following on main road, it is difficult for human drivers make optimal decisions complex scenarios. First, based NGSIM dataset, gain function designed represent in...

In this paper, we study the problem of mining for frequent trajectories, which is crucial in many application scenarios, such as vehicle traffic management, hand-off in cellular networks, supply chain management. We approach this problem as that of mining for frequent sequential patterns. Our approach consists of a partitioning strategy for incoming streams of trajectories in order to reduce th...

An improved cellular automata model (CA model) considering driving styles is proposed to analyze traffic flow characteristics and study congestion’s dissipation mechanism. The data were taken from a particular case in the Next Generation Simulation (NGSIM) program, which selected US-101 as survey location 7:50 a.m.–8:05 a.m. investigate vehicle trajectory information. Different differences para...

In highway on-ramp sections, the conflictual interactions between a subject vehicle (merging vehicle) in acceleration lane and following (lagging adjacent mainline can lead to traffic congestion, go–stop oscillations, serious safety hazards. Human drivers combine their previous lane-changing experience perception of surrounding conditions decide whether merge. However, decisions that they make ...

Fundamental macroscopic traffic variables (flow, density, and average speed) have been defined in twoways: classical (defined as either temporal or spatial averages) and generalized (defined as temporal-spatial averages). In the available literature, estimation of the generalized variables is still missing. This paper proposes a new efficient sequential algorithm for estimating the generalized ...

The study of rotary steering drilling technology is currently one of the hot topics in the drilling engineering field. It requires accurate well trajectory control instructions when rotary steerable tools are applied to achieve the well trajectory control goal. A drilling trajectory prediction model will benefit this progress. According to the continuous beam theory, a mechanical model of push-...