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Ma Y.-L.,Harbin Institute of Technology | Gu G.-F.,Guangzhou Transport Planning Research Institute | Gao Y.-E.,Harbin Institute of Technology | Ma Y.,Changan University
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport | Year: 2016

In order to explore the recognition method of distracted driving in operating in-vehicle information system (IVIS), the effectiveness of driving performance indicator as the evaluation variable of distracted driving was verified by using variance analysis method. Experiments under IVIS operation based on driving performance were carried out, and road scene video and driving performance indicators data were obtained. According to the driving performance data under IVIS operation, using support vector machine (SVM) classification algorithm, the driver distraction judging model was built based on vehicle driving performance under IVIS operation, and the effectiveness of the model was validated by experimental data. The results show that SVM model can be used to determine the driver distraction state. When using RBF kernel function, the recognition accuracy of driving distraction is 89. 86%, higher than those by using Sigmoid and polynomial kernel function. The model can effectively determine the driver distraction state, which can provide data support for driving distraction control strategy. © 2016, Editorial Department of China Journal of Highway and Transport. All right reserved.

Guo X.Y.,Wuhan land use and urban spatial planning research | Xiong W.T.,Guangzhou Transport Planning Research Institute
Advanced Materials Research | Year: 2014

Current researches on road network vulnerability (RNV) are mostly focused on its evaluation and calibration, while the classification is rarely studied. For there’s no unanimous and standard criterion in researches on the levels of RNV, it is urgent to find a practical method to define RNV classification for better traffic monitoring and management. In this study, a methodology based on fuzzy clustering is constructed to define the RNV categories. At the same time, this study presents a method to calibrate the availability of such classification. A case study using this methodology is implemented in Xingsha District, Changsha City for determining appropriate RNV categories in the year of 2011. It is found that (1) RNV of this district can be classified into three categories: serious vulnerable level, middle vulnerable level and feeble vulnerable level. (2) links in the artery are at serious vulnerable level of RNV (3) most links are at the middle vulnerable level, so the RNV in the district can be generally defined as at middle vulnerable level. © (2014) Trans Tech Publications, Switzerland.

Cao H.,Guangzhou Transport Planning Research Institute | Duan Z.-Y.,Tongji University | Chen C.,Tongji University
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | Year: 2014

There are many uncertain factors affecting the service level of urban road network. The paper discusses the connecting route problem among urban areas. It proposes a robust optimization model taking the description of stochastic time-dependent network and selecting principles for robust paths into consideration. An advanced Dijkstra algorithm is put forward to solve the problem. Using Shenzhen GPS data, the paper establishes a stochastic time-dependent network, and studies the model and algorithm of the optimal robust path. The results indicate that the travel time varies from the different departure time, and the components of path are not the same, neither. At last, the result is compared with ones which are obtained by a normal algorithm based on time-dependent network. The comparison shows that the advanced algorithm is an effective method to apply into selecting robust route among urban areas.

Gan Y.-H.,Guangzhou Transport Planning Research Institute
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | Year: 2012

Because of the accelerating the process of urbanization, sharp increase of the motorized travel volumes, and less potential for transportation construction, the urban traffic problems environmental pollution has attracted considerable attentions. This paper discusses the urban traffic demand management (TDM) policy system of China, and its implementation objectives and measures. It is presented from three aspects of affecting travel generation, travel mode choice and the choices of travel route and time. It also investigates successful cases both in China and other countries 'cities', The measures, applicable conditions and implement effects of each kind of traffic policies is analyzed systematically, such as coordinated development of transport and land use, public transport priority, road congestion pricing. Well-developed public transport system, advanced traffic information, and the combination of a number of policy implementation are found to be the common characteristics of successful TDM implementation.

Gan Y.-H.,Guangzhou Transport Planning Research Institute | Lin S.-K.,Traffic Police Detachment of Guangzhou Public Security Bureau
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | Year: 2012

During the history of Asian Games, the 16th Asian Games is the one which has the largest number of competition events, joining people and competition venues. Traffic demand leaded by the Games will be highly gusty, mass and impactive. Under this condition, the daily traffic of the holding city has already been saturated, the games traffic and daily traffic will compete on the city's transportation resource. In view of Guangzhou city's daily traffic demand and operation situation, the paper systemically analyzes the traffic demand characteristics of Asian Games from aspects of passengers flow scale, service object, request standard and space-time distribution. It also applies two traffic organization strategies to ensure Asian Games traffic to be safe and smooth efficient and ordered; "centralize transportation resource to ensure Asian Games traffic quality of service and reduce transportation disturbance for harmonious Asian Games traffic". It then provides helpful suggestions for city to ensure effective traffic operation in large-scale events.

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