. Papadelis 4. Riemersma 5 RR. . Saroj. Akerstedt 7. δ 0. 5 ~ 4 Hz θ 4 ~ 8 Hz α 8 ~ 14 Hz β 14 ~ 30 Hz 1. 1 MCCARTT 8-10

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1 Vol 37 No 10 JOURNAL OF BEIJING UNIVERSITY OF TECHNOLOGY Oct U A Papadelis 4 Riemersma 5 RR Saroj 6 Akerstedt 7 4 δ 0 5 ~ 4 Hz θ 4 ~ 8 Hz α 8 ~ 14 Hz β 14 ~ 30 Hz MCCARTT a 72 h 3 h / 8h JJ

2 Pack Autosim VGA KF2 1 3 Neuroscan 32 Fig 1 Driving Simulator DC ICA /PCA Neuroscan km 3% 2% 3 5 m 1 5 m 1 50 km /h 20 ~ 23 5 Lx h 2 5 min SOFI-C swedish occupational fatigue inventory min 30 min 30 min 12 2 SOFI-C Fig 2 The flowchart of experiment 10 s KF2 R h R r RR S r RR M r

3 S r = 1 槡 T N N ri i = 1 M r = 1 N T r i - T rr 2 - T rr 1 2 S r RR M r RR N T ri i RR T rr RR Neuroscan 10 ~ A2 EEG 14 δ 0 5 ~ 4 Hz θ 4 ~ 8 Hz α 8 ~ 14 Hz β 14 ~ 30 Hz SOFI-25 swedish occupational fatigue inventory Fig 3 Fatigue of subjective feeling S r M r R h R r 2 min 15 8 min 8 min 30 min 4 S r M r S r Fig 4 4 The variations of ECG time-domain with driving time

4 R h t 8 min 30 min S r M r R h 1 Table 1 t Results of paired-t test t P P < 0 05 R r S r P > M r R r R h R r T4 T5 T6 TP 7 TP 8 FT 7 FT EEG 4 δ θ α 24 min β 3 r αθ α + θ /β θ /β r α α /β Fig 5 5 Temporal activity plotted over time during driving for basic index 4 min 4 min t δ P < P > 0 05 r αθ P < 0 05 P < 0 01 r α P < 0 01 δ r αθ r α 4 4 r αθ r α Table 2 α r αθ Fig 6 Temporal activity plotted over time during driving for ratio index r θ r α t Results of paired-t test t P δ β θ

5 p < 0 05 Table 3 3 The analysis of Pearson correlation coefficient S r M r R h r αθ r θ r α σ S r / / / / / /0 001 M r / / / / / /0 016 R h / / / / / /0 003 r αθ / / / / / /0 007 r θ / / / / / /0 019 r α / / / / / /0 016 σ / / / / / / S r M r δ r αθ r α SPSS S r M r δ r αθ r β r α 1 85% 1 S r = 0 98 M r = r αθ = = r α = σ = 0 84 y = 0 98S r M r r αθ r θ r α δ y y 30 min y 2 min y t 4 y 4 Table 4 t Paired-t test results of before and after Fig 7 7 Variations of overall index with driving time t p

6 min M r R h R r 4 δ β θ α δ S r M r δ r αθ r α S r 1 LAL S K L CRAIG A Electroence phalography activity associated with driver fatigue implications for a fatigue countermeasure device J Journal of Psychophysiology PHILIPA H G NATHNIEL S M IAN J et al Investigating driver fatigue in truck crashes trial of a systematic methodology J Transportation Research Part F J CHEN Wei Driving fatigue prevention of french strafety J Social Developmeut in Chinese 4 PAPADELIS C CHEN Z PAPADELI C K et al Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents J Clinical Neurophysiology RIEMERSMA A R SANDERS C Performance determent during prolonged night driving M New York Flenum Press SAROJ K L LAL A C A critical review of the psychophysiology of driver fatigue J Biological Psychology AKERSTEDT T KECKLUND G KNUTSSON A Manifest sleepiness and the spectral content of the EEG during shift work J Sleep MCCARTT A T RIBNER S A PACK A I et al The scope and nature of the drowsy driving problem in New York State J Accident Analysis and Prevention SAGBERG F Road accidents caused by drivers falling asleep J Accident Anal Prevent PACK A I PACK A M RODGMAN E et al Characteristics of crashes attributed to the driver having fallen asleep J Accident Anal Prevent BROWN I D Methodological issues in driver fatigue research M London Taylor & Francis GILLBERG M KECKLUND G AKERSTEDT T Sleepiness and performance of professional drivers in a truck simulator - Comparisons between day and night driving J Journal of Sleep Research THIFFAULT P BERGERON J Monotony of road environment and driver fatigue a simulator study J Accident Analysis and Prevention JAP B T LAL S FISCHER P et al Using EEG spectral components to assess algorithms for detecting fatigue J Expert Systems With Applications J YANG Yu-shu YAO Zhen-qiang LI Zeng-yong et al Investigation on correlation between ECG indexes and driving fatigue J Machine Design & Manufacture in Chinese 1523

7 Research on Travel Time of Basic Road Based on Cellular Automata QI Hong-sheng SONG Xian-min WANG Dian-hai GUO Wei-wei Transportation College Jilin University Changchun China Abstract The focus of the paper is the research of travel time of urban basic roads with multi-lane and channelized sections as well as traffic signal control A cellular automata model CAUB is established based on NaSch model through the description of basic move rules lane changing features and responses to signals At last CAUB is used to simulate travel time of basic roads Results show that the travel time on basic roads displays break nature and is influenced by flow and signal setting which relates to flow structure Key words traffic engineering travel time cellular automata lane changing behavior 1516 Experiment Study on Comprehensive Evaluation Method of Driving Fatigue Based on Physiological Signals ZHAO Xiao-hua FANG Rui-xue RONG Jian MAO Ke-jun Beijing Key Lab of Transportation Engineering Beijing University of Technology Beijing China Abstract A dynamic Driving simulation experiment of thirty subjects is carried out using the virtual driving simulator to analyze the variation of ECG and EEG indicators with driving time and the experiment validates the effectiveness of the ECG and EEG indicators as the evaluation of driving fatigue There is a significant correlation between EEG and ECG according to the Pearson Correlation Finally the relationship is established between EEG and ECG and the overall index of driving fatigue is defined by Principal component analysis which can exclude disturbed factors and lower data volatility therefore to improve accuracy of driving fatigue evaluation Key words driving fatigue driving simulation experiment electracardiogram electroencephalogram