Communication Control and Driving Assistance to a Platoon of Vehicles in Heavy Traffic and Scarce Visibility

Abstract

A decentralized communication and control system is presented for driving assistance and automation along designated highway segments. This paper is based on a hybrid dynamical model describing vehicular motion, and the structure of a safe controller is presented. A ranging and communication system provides information for a vehicle and its nearest neighbors. The system is capable of handling sudden changes of regime, overtakes, reentries, as well as a number of maneuvers dictated by safety requirements under partially unpredicted events. A user-friendly interface, based on a palmtop computer, is developed to assist drivers visually and acoustically.Index Terms-Highway automation, hybrid control, platooning, vehicle information and communication systems.

A Macroscopic Forecasting Framework for Estimating Socioeconomic and Environmental Performance of Intelligent Transport Highways

“…Once again, the most consistent findings of earlier research is that AHS offer the most promising benefits in terms of capacity improvement and safety, which use algorithms and microscopic simulations to examine the capacity when vehicles are organized into platoons [5] and [11]- [14]. Jaworski et al [11] developed a microscopic traffic simulation tool that allowed for the assessment of different traffic control algorithms.…”

“…It is predicted that ICT integration will become increasingly ubiquitous, embedded at the user-oriented level through invehicle and automated driver systems [2]- [5]. This transformation poses many challenges and naturally features high degrees of uncertainty the further we forecast into the future.…”

Study on stability of traffic flow for cooperative driving control

“…(5) and (6), the lattice models described by the difference-difference equation, which are defined as Model II, are attributed to microscopic approaches pertaining to single-lane traffic with no passing, and the idea is that a driver adjusts the car velocity according to the observed headway h(x, t)[or density ahead Pj+l (t)]. It preferably reflects the traffic characteristic that the drivers of cars react in some specific fashion to a stimulus from the cars ahead.…”

“…As the conflict between resource and environment and the demand of transportation becomes more apparent, the studies of traffic flow dynamics have been paid more attention. Moreover, in order to analyze the substance of various traffic phenomena more deeply, the concepts and techniques under different backgrounds are being applied to such complex systems for understanding the rich variety of traffic characteristics, especially traffic congestion [1][2][3][4][5].…”

Safe Human-Inspired Mesoscopic Hybrid Automaton for Longitudinal Vehicle Control

“…A number of traffic control models have been proposed over the years (see Panwai (2005)). These models can be classified on the basis of the description level (macroscopic, as in Messmer (2002), microscopic as in Gazis (1961), Gipps (1981) or mesoscopic, which is a microscopic model that takes into account macroscopic parameters), or the adopted control strategy (centralized, as in Daganzo (1994), or decentralized as in Falconi (2012), Caravani (2006)). The focus of this paper is on a decentralized mesoscopic control approach.…”