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traffic speed Interface Development in Route Choice Decision

Journal of Civil Engineering and Architecture 2023年第9期17卷 473-478页

作者： Md.Saidul Azam Chowdhury Department of Civil and Environmental Engineering Shahjalal University of Science and TechnologySylhet 3114Bangladesh

In this paper,a method has been developed based on historic traffic data(speed),which helps the commuters to choose routes by their intelligence knowing the traffic conditions in Google *** has been collected on basis of video analysis from several segments between Tuker Bazar and Bandar Bazar *** each of the video footage,a reference length has been recorded with measurement tape for use in video analysis.A software has been also developed based on Java language to get the traffic information from historic data,which shows the output as images consisting of traffic speed details on the available routes by giving day and time limit as *** developed models provide useful insights and helpful for the policy makers that can lead to the reduction of traffic congestion and increase the scope of intelligence of the road users,at least for the underdeveloped or developing country where navigation is still unavailable.

关键词： traffic speed route choice Google maps

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Effect of traffic speed on Stresses and Strains in Asphalt Perpetual Pavement

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Journal of Civil Engineering and Architecture 2013年第8期7卷 956-963页

作者： Daba S. Gedafa Mustaque Hossain Stefan A. Romanoschi Department of Civil Engineering University of North Dakota Grand Forks ND 58202-8115 USA Department of Civil Engineering Kansas State University Manhattan KS 66506 USA Department of Civil Engineering University of Texas-Arlington Arlington TX 76019-0308 USA

Increasing traffic volumes and loads as well as public expectation for a long-lasting transportation infrastructure have necessitated designing perpetual pavements. The KDOT （Kansas Department of Transportation） conducted a field trial to investigate the suitability of perpetual pavement concept for Kansas highway pavements. The experiment involved construction of four thick pavement structures. To verify the approach of designing perpetual pavements on the basis of an endurance strain limit, the pavements were instrumented with gauges for measuring tensile strains at the bottom of asphalt base layers at various speeds. Pavements were also instrumented with pressure cells to measure stress on the top of subgrade. Pavement response measurements under known vehicle load were performed in August 2006. FWD （Falling-weight deflectometer） was also used to collect deflection data at 15 m intervals on the same date. FWD first-sensor （center） deflections were normalized and corrected to 20 ℃ temperature based on measured mid-depth pavement temperature. The result shows that strain and stress measurements show significant amount of variations. Measurements in the thickest section are the most consistent. The higher the traffic speed, the lower the strains and stresses. The difference between strains and stresses at 30 kmhar and 65 km/hr is higher than the difference between 65 km/hr and 95 kin/hr. This shows the effect of speed on stresses and strains decreases as the speed increases. Softer binder in the asphalt base layer results in lower strains, which confirms that softer binder results in higher fatigue life.

关键词： traffic speed stress strain perpetual pavement deflection.

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A BP neural network based information fusion method for urban traffic speed estimation

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Engineering Sciences 2010年第1期8卷 77-83页

作者： Qiu Chenye Zuo Xingquan Wang Chunlu Wu Jianping School of Computer Beijing University-of Posts and Telecommunications Beijing 100876 China

Obtaining comprehensive and accurate information is very important in intelligent tragic system （ITS）. In ITS, the GPS floating car system is an important approach for traffic data acquisition. However, in this system, the GPS blind areas caused by tall buildings or tunnels could affect the acquisition of tragic information and depress the system performance. Aiming at this problem, a novel method employing a back propagation （BP） neural network is developed to estimate the traffic speed in the GPS blind areas. When the speed of one road section is lost, the speed of its related road sections can be used to estimate its speed. The complete historical data of these road sections are used to train the neural network, using Levenberg-Marquardt learning algorithm. Then, the current speed of the related roads is used by the trained neural network to get the speed of the road section without GPS signal. We compare the speed of the road section estimated by our method with the real speed of this road section, and the experimental results show that the proposed method of traffic speed estimation is very effective.

关键词： BP neural network data fusion traffic speed intelligent traffic system

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Fleet size estimation for spreading operation considering road geometry,weather and traffic

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Journal of traffic and Transportation Engineering(English Edition) 2014年第1期1卷 1-12页

作者： Steven I-Jy Chien Shengyan Gao Jay N.Meegoda Taha F.Marhaba Department of Civil & Environmental Engineering New Jersey Institute of Technology School of Automobile Chang'an University

Extreme weather conditions（i, e. snow storm） in winter time have caused significant travel disruptions and increased delay and traffic accidents. Snow plowing and salt spreading are the most common counter-measures for making our roads safer for motorists. To assist highway maintenance authorities with better planning and allocation of winter maintenance re- sources, this study introduces an analytical model to estimate the required number of trucks for spreading operation subjective to pre-specified service time constraints considering road geome- try, weather and traffic. The complexity of the research problem lies in dealing with heteroge- neous road geometry of road sections, truck capacities, spreading patterns, and traffic speeds under different weather conditions and time periods of an event. The proposed model is applied to two maintenance yards with seven road sections in New Jersey （USA）, which demonstrates itself fairly practical to be implemented, considering diverse operational conditions.

关键词： fleet size road geometry road network spreading operation traffic speed winter road maintenance

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