2019 No. 1

2019, 37(1) doi: 10.3963/j.issn.1674-4861.2019.01.001
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2019, 37(1)
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Invited Contribution
A Study of "Version Zero" Concept of Transportation Safety and Its Implementation Strategies in China
YAN Xinping, WU Bing, HE Yi, ZHONG Ming, ZHU Yubin, ZHAO Xia, WANG Qianxuan
2019, 37(1): 1-6. doi: 10.3963/j.issn.1674-4861.2019.01.001
Abstract(42) PDF(0)
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Transportation Safety
An Analysis of Driving Behaviors and Safety Evaluation on Deceleration Lane of Urban Arterial Roads
ZHOU Ying, DENG Min, LYU Nengchao
2019, 37(1): 7-12,34. doi: 10.3963/j.issn.1674-4861.2019.01.002
Abstract(623) PDF(6)
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Influencing Factors of Traffic Crashes in Sections of Small Curve Radius on Urban Expressways in Japan
LI Rui, WU Yong
2019, 37(1): 13-19. doi: 10.3963/j.issn.1674-4861.2019.01.003
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Influences of Mobile Phone Use of Pedestrians on Street-crossing Behaviors and Safety at Signalized Intersections
ZHANG Cunbao, WEI Yuanyuan, CHEN Feng
2019, 37(1): 20-34. doi: 10.3963/j.issn.1674-4861.2019.01.004
Abstract(573) PDF(4)
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In order to analyze negative influences of mobile phone use of pedestrians at signalized intersections,a statistical analysis is used to compare differences of street-crossing behaviors between use mobile phones or not.Data of nine signalized intersections in Wuhan,China is collected by filed investigations.Previous studies evaluate pedestrian safety mostly by simple comparative analysis,and there are few quantitative parameters.Therefore,this paper focused on impacts of use mobile phones on pedestrians safety,pedestrian-vehicle conflict is used as an evaluation index,then a model based on ordered probit (OP) is developed,which is better to quantitatively evaluate and forecast pedestrian safety at signalized intersections.The results show that there are 11 factors significantly relate to pedestrian-vehicle conflicts,including pedestrian age,habit of mobile phone use,speed of street-crossing,crossing with others or not,times of looking left and right,running the red light or not,number of vehicle lanes,volume of left-turning traffic passing through upstream lanes,volume of right-turning traffic passing through upstream lanes,volume of right-turning traffic passing through approaching lanes,and signal cycle.Furthermore,mobile phone use increases possibility of conflict:at two-way 2,4,5,6 and 7 lanes,average conflicts of pedestrians who making phone calls are 3.56,3.42,3.33,3.29,and 3.00 times more than those who do not use mobile phones,respectively;average conflicts of pedestrians who looking at mobile phones are 4.78,4.17,3.80,3.59,and 3.30 times more than those not using mobile phones,respectively.However there is no significant difference in average conflicts of pedestrians who listening to music or not.
Transportation Information Engineering and Control
Modeling and Simulation of a Car-following Model Based on Influences of Lateral Vehicles
LIU Dawei, SHI Zhongke
2019, 37(1): 35-41. doi: 10.3963/j.issn.1674-4861.2019.01.005
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A Study on the Short-time Forecasting Method of Operation Behaviors of Drivers for Man-machine Cooperative Driving
YU Kai, PENG Liqun, DING Xue, HE Yi
2019, 37(1): 42-48,57. doi: 10.3963/j.issn.1674-4861.2019.01.006
Abstract(672) PDF(3)
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A Target Detection Method of Moving Objects at Airport Based on Streak Flow and Deep Learning
ZHAN Zhaohuan, HAN Songchen, LI Wei, YU Lisha
2019, 37(1): 49-57. doi: 10.3963/j.issn.1674-4861.2019.01.007
Abstract(569) PDF(1)
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An Analysis on Traffic Information Search-Decision Behaviors of Drivers for Smart Phone
LU Huan, JI Xiaofeng, RUAN Hongzhu
2019, 37(1): 58-64,71. doi: 10.3963/j.issn.1674-4861.2019.01.008
Abstract(530) PDF(0)
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An Analysis of Characteristics of Complex Network and Robustness in Harbin Multi-mode Traffic Network
QIANG Tiangang, ZHAO Mingming, PEI Yulong
2019, 37(1): 65-71. doi: 10.3963/j.issn.1674-4861.2019.01.009
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A Recognition Method of Cycling Behavior Based on Convolutional Neural Network
SHAO Zhuangzhuang, GU Yuanli, JIANG Ruolin
2019, 37(1): 72-79. doi: 10.3963/j.issn.1674-4861.2019.01.010
Abstract(394) PDF(7)
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Transportation Planning and Management
A Paradox of Passenger Flow Distribution of Urban Rail Transit Network Based on Stochastic Route Choice
WANG Wei, DING Lili, ZHANG Wensi, GAO Ge, ZHANG Hui
2019, 37(1): 80-87,96. doi: 10.3963/j.issn.1674-4861.2019.01.011
Abstract(338) PDF(0)
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A Study of Occlusion Failure of Traffic Signs on Roadside at Intersections of Urban Arterial Roads
PEI Yulong, GUO Mingpeng, JIN Yingqun
2019, 37(1): 88-96. doi: 10.3963/j.issn.1674-4861.2019.01.012
Abstract(342) PDF(0)
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Pipeline Routing Selection of Offshore Wind Farms Based on Fuzzy Evidential Reasoning
YUE Keding, JIN Han, XU Hui, LIN Peipei, WEI Jiuran, WU Bing
2019, 37(1): 97-103,127. doi: 10.3963/j.issn.1674-4861.2019.01.013
Abstract(340) PDF(1)
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A Model of Influencing Factors of Travel Mode Selection for Commuters with Bike-sharing
ZENG Simeng, YE Mao, LIU Yingshun, CHEN Yajing
2019, 37(1): 104-112. doi: 10.3963/j.issn.1674-4861.2019.01.014
Abstract(359) PDF(1)
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Strategies for Evaluating Taxi Emissions Reduction Based on Dempster-Shafer Evidence Theory
HU Xiaowei, LIU Xiang, SUN Hanghang
2019, 37(1): 113-120. doi: 10.3963/j.issn.1674-4861.2019.01.015
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A Short-term Forecasting of Traffic Flow Based on a Mixture Model of Sparse Gaussian Process
HAN Chunying, ZHOU Yatong, CHANG Heling, CHI Yue, HE Jingfei
2019, 37(1): 121-127. doi: 10.3963/j.issn.1674-4861.2019.01.016
Abstract(362) PDF(5)
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An Analysis of Travel Characteristics of Urban Residents Based on Hot Spot Detection Model
LI Yan, CHEN Hong, SUN Xiaoke, LUO Ting, SHI Zhuanzhuan
2019, 37(1): 128-136. doi: 10.3963/j.issn.1674-4861.2019.01.017
Abstract(378) PDF(12)
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