Super smart vehicle system: AVCS related systems for the future

Abstract

The Super Smart Vehicle System (SSVS), proposed under support of the MITI, is new information systems for automobile drivers after 20-30 years from now to solve problems caused by automobiles and automobile traffic. It is based on the concept of the infernobility.Its purpose is compatibility of both safety and efficiency taking account of aging and pollution. Social background of the proposal is status of automobile traffic in Japan: accidents, congestion and pollution, technological one is previous work such as the Comprehensive Automobile Traffic Control System and the intelligent vehicles with machine vision. The SSVS deals with 4 fields: information systems for a single vehicle, for inter-vehicles and for vehicle-to-road relations, and studies on vehicle-to-driver relations. The system candidates include a cooperative driving system, a control configured vehicle system composed of ultra-little vehicles, an active driver assistance system, intelligent infrastructure, intelligent logistics, and machine vision; however, the SSVS focuses mainly on advanced vehicle control systems. The effects of the SSVS on safety of automobile traffic are also evaluated, and a simulation study shows that it may decrease up to 40 % of fatal accidents by 2020.

Service Operations for Mixed Autonomous Paradigm: Lane Design and Subsidy

“…CV systems can further increase the volume by simultaneously controlling a platoon of AVs (Tsugawa et al. 1992, Varaiya 1993). Besides, the heterogeneity in human driving behavior (e.g., the preferred following distance, braking force, lane‐changing habits) can result in unstable traffic flows, which can be avoided by a platoon of AVs with homogeneous control Monteil (2014).…”

“…Theoretically, AVs need much shorter reaction times for taking an acceleration or a break than human drivers, leading to the capability of running at high speed with smaller spaces and thereby a higher volume (Shladover et al 1991). CV systems can further increase the volume by simultaneously controlling a platoon of AVs (Tsugawa et al 1992, Varaiya 1993. Besides, the heterogeneity in human driving behavior (e.g., the preferred following distance, braking force, lane-changing habits) can result in unstable traffic flows, which can be avoided by a platoon of AVs with homogeneous control Monteil (2014).…”

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward

“…This group had also started the development of video image processing to recognize driving scenes [20] and it was followed by a demonstration performed under Eureka Prometheus project. The super-smart vehicle systems (SSVS) program in Europe [21] and Japan [22] were also based on the earlier work of Ernst Dickens. In 1992, four vehicles drove in a convoy using magnetic markers on the road for relative positioning, a similar test was repeated in 1997 with eight vehicles using radar systems and V2V communications.…”

Research on the quantitative evaluation system for unmanned ground vehicles

“…Left weakly more important than top 5 Left moderately more important than top 7 Left strongly more important than top 9 Left absolutely more important than top 2,4,6,8 Between the above-mentioned two adjacent judgments L1, L2, L3, L4 and L5 is supposed to represent five criteria layers in Fig.4 respectively, namely the basic behavior of vehicles, the basic driving behavior, the basic traffic behavior, number of manual intervention and intervention extent, and completion time of task. According to the definition of importance, the mutual importance relationships among these five criteria layers can be gained.…”

“…Department of Transportation in USA held the test on AHS project of automatic driving vehicle in 1997 [6]. During this period, Japan was also carried out major projects including ASV, SSVS and ARTS, which involved the research and evaluation of autonomous vehicles [7,8,9]. With the development of single technology and integrated systems, the test and assessment methods are developed from single-item tests to complex integrated ability test, and the third-party test appears gradually.…”