SIP-PROJECT : Preliminary examination of traffic accident simulation to evaluate the benefits of safety systems for the reduction of traffic accidents

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1 SIP-adus Workshop on Connected and Automated Driving Systems Session : Impact assessment SIP-PROJECT : Preliminary examination of traffic accident simulation to evaluate the benefits of safety systems for the reduction of traffic accidents Osamu Takatori Japan Automobile Research Institute November 18,

2 Project Goal National Goal Reduce the number of casualty in the traffic accidents Project Goal Develop multi agent simulation tool to evaluate benefit when active safety system and automated driving system are introduced. Project Goal in 2014 Clarify requirement of the simulation tool developed in the project. 2

3 Utilization of Simulation Basic development cycle of active safety systems 1Accident statistical analysis 2Accident investigation 3Driving response investigation Society level Individual accident level Driver response level (Human factor) 9Verification in the real world 8Benefit estimation 7Closed loop evaluation 4Set of the target function System level 6Open loop evaluation 5Develop the active safety system 3

4 Advantage of simulation Comparison of normal cycle with cycle using simulation in the process of 8~9 Process1~8 8Benefit estimation~ 9Verification in the real world Normal cycle Around decades Next cycle Cycle using simulation Next cycle Shorten development cycle Simulation tool leads to Efficient and Effective development. 4

5 Objective and Work Items in 2014 Clarify requirement of new simulation tool developed in the project. (1)Investigation of the multi agent simulations using driver model. 1Review of the existing multi agent simulations 2Requirement of driver models 3Applicability of other areas (2)Investigation of requirement on new simulation tool 5

6 Accident Types What accident pattern is focused on? From traffic accident statistics, we will focus on at least three accidents pattern. 1 Rear-end accident 2 Crossing pedestrian-car accident 3 accident causing lane departure 工 作 物 衝 突 Traffic accidents in 2013 (N=629,021) 2% その 他 の 車 両 相 互 16% 右 折 時 8% その 他 の 車 両 単 独 2% 出 会 い 頭 25% 交 通 事 故 件 数 横 断 中 5% 横 断 中 以 外 4% 正 面 衝 突 2% 追 突 36% Rear-end accident 36% その 他 の 車 両 単 独 路 外 逸 脱 4% 5% 工 作 物 衝 突 15% その 他 の 車 両 相 互 6% 右 折 時 6% 死 亡 事 故 件 数 出 会 い 頭 13% Fatalities (N=4,278) 追 突 6% 横 断 中 25% 横 断 中 以 外 10% 正 面 衝 突 10% Crossing pedestrian - car accident 25% 横 断 中 横 断 中 以 外 1.6 Fatality rate (%) 死 亡 事 故 率 (%) 正 面 衝 突 追 突 出 会 い 頭 右 折 時 その 他 の 車 両 相 互 工 作 物 衝 突 路 外 逸 脱 その 他 の 車 両 単 独 Accident causing lane departure 6

7 Composition of Models In order to reconstruct 3 types of accidents in the simulation, it is necessary to have at least 4 components. Relationship between each model Environment information Driver Environment Signal Lane etc... response time, brake work etc... Most important but difficult to model Pedestrian walking speed initial position etc... Safety system Vehicle spec etc... 7

8 Driving simulator Driver Models What data is needed for making driver model? In order to develop more accurate simulation, appropriate driver model parameter is necessary(e.g. driver reaction time, brake work etc...). It is essential to acquire the driver response data by experiments. Vehicle simulator Driver response (reaction time, brake work...) 8

9 Review of Existing Simulations What simulations are reviewed? Investigation of the existing multi agent simulation tools, in terms of model construction, functional capability, and extendibility. Various multi agent simulation ASSTREET ASSTREET(TOYOTA) SIM for ACAT(HONDA,DRI) ASSESS(NTSEL) MATES(The University of Tokyo) SUMO(DLR:Germany) Prescan(TNO/Tass International) 9

10 Review of Existing Simulations How the prospective simulation is selected? Advantage and disadvantage for each simulation tool are evaluated as simulation requirements. Then, the most prospective simulation is selected. Driver model Requirement for the simulation Algorithm of perception recognition, decision making and control Tool A Tool B Tool C Normal driving situation Accident avoidance situation Driver error Implementation of individual difference Degree of freedom for vehicle dynamics Setup of vehicle specification Setup of automated drive and active safety system Road (road geometry road facilities traffic lane...) Time zone(day-and-night...) Weather (wet-and-dry...) Algorithm of perception recognition, decision making and control Implementation of individual difference The Vehicle simulation model in this project will be developed based on the prospective simulation. Environment model Pedestrian model Total Evaluation 10

11 Requirements of Simulation What function of the simulation tool should have? Requirements of the simulation tool Driver model:perception Recognition, Decision making and Control model Driver error(oversight, Decision making Control miss) etc. Vehicle model:degree of freedom, Automated driving, Active safety system Environment model:road shape, Traffic lane, Facilities and Other conditions (e.g. Weather, Road surface, Day-and-night) Pedestrian model:perception Recognition, Decision making and Action model (Walking speed and walking route) etc... 11

12 Applicability to Other Areas Multi agent simulation tools have applicability to not only estimation of traffic accidents but also other area by adding functions (e.g. traffic jam,environment burden). In this project, extendibility and versatility to other areas are also investigated. Estimation of traffic accidents Estimation of traffic jam + Driver response to Traffic sign ITS system Estimation of environment burden + Gas pedal work Engine output Gas consumption 12

13 Summary We aim at developing the simulation which can carry out exactly benefit estimation of active safety system and automated driving system efficiently through this project. In promotion of development and spread for active safety technology and automated driving technology, we are sure that a simulation contributes. Taking advantage of a pioneer's knowledge, it will become a better simulation. 13

14 Thank you for your attention 14

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