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An investigation based on human visual search functions was conducted into the causative factors of traffic accidents at clear intersections in rural areas. The results indicated that it is difficult for drivers to detect a vehicle traveling on a collision course because the vehicle remains in the same position in the driver's visual field. Two systems are introduced to assist drivers' visual searches. One system uses an image processing technique, and the other utilizes DGPS and IVC techniques. This paper presents the development of the assistance system.

The objective of this study is to improve tire hydroplaning performance by examining the arrangement of the tread grooves, based on water flow. It is important to smoothly channel the water through the tread grooves to improve performance. For this purpose, flow around the tire contact area was visualized by particle tracing. The velocity and the direction of flow in front of the contact area became clear as a vector map. This vector map indicated that the direction of the flow depends primarily on the lateral position, i.e., the distance from the tread center. Tread grooves parallel to the flow vector were designed based on this result. The visualization of the improved tire demonstrated that water flowed smoothly along the grooves. In addition, a drum test indicated increased cornering force at high speed.

A simulation has been developed at the Japan Automobile Research Institute to predict the fuel economy of HEVs, which are currently being developed in the advanced clean energy vehicle research and development project of MITI/NEDO (ACE Project). The ACE Project includes six types of HEV. The effect of hybrid components efficiency on fuel economy was evaluated by sensitivity coefficient. The results show that the fuel economy of HEVs can improve that of the base vehicle by two times. The sensitivity coefficient of the battery is largest in the FCEV, while that of the motor is largest in the series or series/parallel HEVs.

In this paper, an intersection collision warning system using DGPS (Differential Global Positioning System) will be proposed. The system is developed to prevent collisions of vehicles crossing at intersections, especially at well visibility intersections without traffic lights. Two GPS receivers are installed on two vehicles on the move towards the same intersection from different directions. The position and velocity information of the vehicles are measured by on-board GPS receivers, and then transmitted from one vehicle to another by inter-vehicle communication (IVC). Therefore, the relative position and direction of each vehicle and collision judgment coefficient (CJC) which is defined by using the relative position of vehicles are calculated. After taking the crossing position of directions and the variation of CJC into account, the position of the intersection and the possibility of collision can be predicted in advance. Warning will be given to drivers with a prearranged timing.

The Advanced Clean Energy Vehicle Project (ACE Project) has been initiated to develop the vehicles which can utilize oil-alternative and clean fuels and achieve twice the energy efficiency of conventional vehicles. To achieve the project objectives, Japanese automobile manufactures are developing six types of hybrid vehicles. Technologies of the developing vehicles include many kinds of hybrid elements, such as series and series/parallel types, alternative fuels (natural gas, DME, methanol) internal combustion engines and a fuel cell, as well as flywheels, ultra-capacitors and Li-ion batteries. This paper introduces the outline of ACE project.

Comparing with the previous Auto/Oil programs, the total plan and current status of the air quality modeling study in JCAP are presented. The total plan of air quality modeling study has the following characteristics: 1) Vehicle emission inventory program is developed by considering the original features of Japan. 2) Not only the urban air quality but also the road sides pollutants dispersion is evaluated. 3) The chemical reaction model for the secondary particulate formations is developed on the basis of the smog chamber experiments. 4) For the cost-effectiveness analysis of vehicle/fuel technologies, the output of the air quality modeling will be combined with the cost data of new vehicle emission reduction technologies As the first step, preliminary modeling studies are conducted to understand the overall tendency of the air quality change toward 2010 in Tokyo urban area.

A new combustion system targeting a drastic decrease in NOx emission and a brake specific energy consumption equivalent to that of a DI diesel engine has been developed. In this new combustion system, a lean burn system using early injection was employed to reduce NOx emission and an auto-ignition DI engine system was employed to achieve the low energy consumption. Methanol was used as the fuel for reducing NOx emission. The objective of this study is to clarify the possibility of the system for the auto-ignition of a premixed lean mixture of methanol fuel. This study shows that the gas temperature at ignition, Tig, is the predominant factor affecting auto-ignition. Auto-ignition occurs when Tig exceeds approximately 1000K. The methanol lean burn system in an auto-ignition DI engine drastically decreased NOx emission with almost the same brake specific energy consumption as a diesel engine in the middle load region.

Intermittent Dual-fluid Exhaust Burner (IDEB) has been developed to reduce emissions from methanol fueled vehicles during the warm-up period after a cold start. The IDEB does not need any special fuel injector or blower, and has been built mainly through software modification of an ECU. An FTP mode test while operating an IDEB confirmed that the catalyst temperature was rapidly increased to significantly reduce the emissions to meet a level of ULEV standards.