In this paper, we propose a new data-driven model to simulate the process of lane-changing in traffic simulation. Specifically, we first extract the features from surrounding vehicles that are relevant to the lane-changing of the subject vehicle. Then, we learn the lane-changing characteristics from the ground-truth vehicle trajectory data using randomized forest and back-propagation neural net...

With the increasing need for road lane detection used in lane departure warning systems and autonomous vehicles, many studies have been conducted to turn road lane detection into a virtual assistant to improve driving safety and reduce car accidents. Most of the previous research approaches detect the central line of a road lane and not the accurate left and right boundaries of the lane. In add...

For satisfactory traffic management of an intelligent transport system, it is vital that traffic microwave radar detectors (TMRDs) can provide real-time traffic information with high accuracy. In this study, we develop several information-aided smart schemes for traffic detection improvements of TMRDs in multiple-lane environments. Specifically, we select appropriate thresholds not only for rem...

Aiming at the lane change behavior recognition requirements for vehicle active safety system, natural driving test in real road were carried out and different parameters related to lane change behavior were collected synchronously. Firstly, parameters were processed with Kalman filter to increasing the potential relevance among sample data. Then, SVM model was established for lane change recogn...

In this paper, a Catmull±Rom spline-based lane model which describes the perspective e€ect of parallel lines has been proposed for generic lane boundary. Since Catmull±Rom spline can form arbitrary shapes by di€erent sets of control points, it can describe a wider range of lane structures compared with other lane models, i.e. straight and parabolic models. Moreover, the lane detection problem h...

Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to various road accident records. Thus, reliably predicting such manoeuvre advance critical for safe and comfortable operation automated systems. The majority previous studies rely on detecting a that has been already started, rather than advance. Furthermore, most works do not estimate key timings (e.g., cro...

Figure 1. IFNGR1 RFLP detected by Southern blot analysis of Taql digested human DNA. The two alleles arc identified by 6. lkb (Al) and 3.2+2.9kb (A2) bands in a .8% agarosegel. Lane 1: Al homozygous; lane 2: A2 homozygous; lane 3: heterozygous. Hybridization and washing conditions were 50% formamide, 3x SSC, 37°C and .2x SSC, 60°C, respectively. figure l.VIL 2 RFLP detected by Southern Blot ana...

A lane detection algorithm for complex environment was proposed. It was concerned on selecting candidate lane region by object segmentation. Then redundancy edges were extracted by Sobel operator. Furthermore, candidate lane markers were obtained by threshold selection from the edges. Finally lane markers were detected by piecewise fitting. The proposed algorithm was simulated in MATLAB. Experi...