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Full-Text Articles in Engineering
Optimization Of Urban Traffic Microsimulation Model For Carbon Emission Reduction, Bo Liu, Jianxin Lin, Yini Liu, Dong Zhang
Optimization Of Urban Traffic Microsimulation Model For Carbon Emission Reduction, Bo Liu, Jianxin Lin, Yini Liu, Dong Zhang
Journal of System Simulation
Abstract: To assess the environmental benefits of transportation management or control strategies, a method to effectively integrate the micro-traffic simulation model and the micro-vehicle emission model is proposed. VISSIM platform is used to build a case micro traffic simulation model. K-means clustering method is used to divide the driving behavior into 4 types based on the acceleration and deceleration characteristics of different speed intervals of the trajectory data, and the global parameters of the simulation model are calibrated based on the driving characteristics, which quantitatively describe the total sensitivity of the parameters and the sensitivity of the interactions between the …
Modeling And Simulation Of Car Following In Fog Based On Cellular Automata, Zhanhong Liu, Xiujian Yang, Xiangji Wu, Huang Zhen
Modeling And Simulation Of Car Following In Fog Based On Cellular Automata, Zhanhong Liu, Xiujian Yang, Xiangji Wu, Huang Zhen
Journal of System Simulation
Abstract: In order to ensure the safety of driving in foggy weather, a microscopic model of car following and lane changing traffic flow is established based on cellular automata. In view of the instability of car following state in foggy weather, dynamic random acceleration is introduced to segment modeling. The simulation accuracy is improved by refining cell size and cell step size and adding position update allowance. The relationship curves of speed and vehicle dispersion with time and the speed density diagram are obtained. The results show that: the vehicle speed fluctuates greatly in medium fog; the dispersion …
Research On Improvement Of Parameters Calibration Method Of Microscopic Traffic Simulation Model, Chenjing Zhou, Yacong Gao, Rong Jian
Research On Improvement Of Parameters Calibration Method Of Microscopic Traffic Simulation Model, Chenjing Zhou, Yacong Gao, Rong Jian
Journal of System Simulation
Abstract: Model parameter calibration is the precondition of application of micro traffic simulation technology. In view of the lack of refined analysis in the model parameter calibration classification and calibration result determination, the corresponding improvement is proposed. The parameter calibration system divides global parameters and local parameters, provides a micro-simulation model parameter calibration method that combines engineering measurement and intelligent optimization. Based on the information entropy as the analysis index of the parameter calibration results, a method of parameter recursion after clustering is proposed. On the basis of the actual survey data of signalized intersections, A simulation experiments and …
Cellular Automata Model Of Non-Motor Vehicle Flow Considering Reverse Vehicles, Xianyan Kuang, Weihua Cao, Wu Yun
Cellular Automata Model Of Non-Motor Vehicle Flow Considering Reverse Vehicles, Xianyan Kuang, Weihua Cao, Wu Yun
Journal of System Simulation
Abstract: The phenomenon of non-motor vehicle reverse driving in one-way non-motor vehicle road occurs in most China's cities. A cellular automata model of non-motor vehicle flow mixed with reverse driving vehicles was established, which considered the different lane-changing rules of the reverse and forward vehicle. The results of the computer numerical simulation for the model show that, in low density stage, the ratio of reverse vehicles has little effect on flow and speed, and the capacity and the avenge speed decrease as the ratio of reverse vehicles increases. Lane-changing ratio has a great influence on the mixed non-motor vehicles …
Microscopic Online Simulation Method Of Road Traffic Accident Emergency Disposal, Peiqun Lin, Jiahui Liu, Kaibin Yao
Microscopic Online Simulation Method Of Road Traffic Accident Emergency Disposal, Peiqun Lin, Jiahui Liu, Kaibin Yao
Journal of System Simulation
Abstract: An online simulation based decision making method was proposed to search for the comparatively optimal emergency disposal plan quickly and quantitatively after the traffic accident, and the evaluation index of traffic emergency disposal plans was proposed on the foundation of designing the process and framework of the online simulation, and the vehicle movement model applied to highway traffic accident was established. The online simulation based decision making system was developed using VISSIM-COM interface, and it has been applied to a typical highway of Guangdong Province. The simulation and the practical application results illustrate that multiple emergency disposal plans …
Holiday Highway Traffic Flow Prediction Method Based On Deep Learning, Xiaofeng Ji, Yicheng Ge
Holiday Highway Traffic Flow Prediction Method Based On Deep Learning, Xiaofeng Ji, Yicheng Ge
Journal of System Simulation
Abstract: Accurately predicting highway traffic holiday flow can provide important data for the emergency management of highway. The LSTM-SVR prediction model is established by using the theoretical framework of deep learning. The BP neural network is used to process the sample data, and the data features captured by LSTM are input into the SVR regression layer to realize the traffic flow prediction. Before and after the “Eleventh” Golden Week, the LSTM-SVR model was verified by using the traffic monitoring data of the intermodulation station in Lijiang City and the prediction results were compared with the others. It is found that …
Travel Time Prediction Of Urban Road Based On Deep Learning, Weiwei Zhang, Ruimin Li, Zhongjiao Xie
Travel Time Prediction Of Urban Road Based On Deep Learning, Weiwei Zhang, Ruimin Li, Zhongjiao Xie
Journal of System Simulation
Abstract: Travel time prediction of urban road is a significant support for urban intelligent transportation system. Four types of LSTM neural network architecture were selected to predict the urban road travel time. The number of nodes in the LSTM hidden layer was fixed to determine the optimal input length of the model. The input length of the model was fixed and the predictive performance of the four LSTM models under different hidden layer nodes and considering spatial correlation were tested respectively. The performance of spatial LSTM model was compared with four traditional models, for example, BP neural network. The results …
Research On The Value Accessing Method For Calibrating Micro Traffic Simulation Model Parameters, Chenjing Zhou, Rong Jian, Kwok Lam
Research On The Value Accessing Method For Calibrating Micro Traffic Simulation Model Parameters, Chenjing Zhou, Rong Jian, Kwok Lam
Journal of System Simulation
Abstract: Parameter calibration is the precondition of the application of micro traffic simulation technology. This study focuses on the value accessing method for parameter calibration in order to further improve the parameter calibration process. The analysis of the distribution characteristics of each parameter calibration results shows that the parameters have different trends in the process of gradual iteration, and there are multiple optimal solutions for the model parameter calibration results. In this paper, the dispersion is used as the quantitative analysis index of the concentration degree of each parameter calibration result, and the parameter value of the model is determined …
Signal Control Strategy And Simulation For Vehicles Alternatively Passing Construction Area Of Two-Lane Road, Haipeng Shao, Binbin Zheng, Linxu Long
Signal Control Strategy And Simulation For Vehicles Alternatively Passing Construction Area Of Two-Lane Road, Haipeng Shao, Binbin Zheng, Linxu Long
Journal of System Simulation
Abstract: The construction area of the two-lane roads can form the road bottlenecks easily, leading to the capacity of the road reducing. Aiming to keep the vehicle passing the construction area safely and efficiently, we added the strategy of signal control in the construction area. We built a suitable signal control model for the construction area of the two-lane road. By using the simulation software of Vissim, we established the related simulation models. By using the control variable method to change the simulation parameters and by changing the arrival traffic and speed, we got the influences and rules to the …
Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei
Traffic Flow Prediction Based On Deep Learning, Mingyu Liu, Jianping Wu, Yubo Wang, He Lei
Journal of System Simulation
Abstract: Traffic flow prediction is an important component of urban intelligent transportation system. With the development of machine learning and artificial intelligence, deep learning has been applied in traffic engineering area. Gated recurrent unit (GRU) neural network is selected to predict urban traffic flow. Cross-validation method is used to explore the optimal number of gated recurrent units. The GRU model is compared with other three predictors such as support vector regression and evaluated in different performance measurements. The results show that GRU model has better performance in traffic flow prediction than the other three models.
Risk Analysis Of Semitrailer Overtaking On Curved Sections Based On Dynamic Simulation, Zhang Chi, Qi Chen, Xiaomin Yan, Dongjian Shao, Zhang Min
Risk Analysis Of Semitrailer Overtaking On Curved Sections Based On Dynamic Simulation, Zhang Chi, Qi Chen, Xiaomin Yan, Dongjian Shao, Zhang Min
Journal of System Simulation
Abstract: To study the safety of semitrailers corner overtaking behavior, the dynamic model of vehicle, the road model and the drivers' aiming trajectory model were developed by multi-body dynamics simulation software TruckSim. The semitrailers were simulated in separate working conditions by changing the super-elevations, circular curve radius, vehicle turning radius and speed. Lateral load transfer rate was invoked as the evaluation index for evaluating the vehicle's safety. The model of six axle semitrailer side tumbling stability prediction was established through the Spss regression; the risk of overtaking on five separate bends of a western highway was evaluated by the model. …
Simulation Of Taxi Passenger Travel Mode Considering The Influence Of Online Booking Taxi, Cao Yi, Yanjin Li, Luo Xia
Simulation Of Taxi Passenger Travel Mode Considering The Influence Of Online Booking Taxi, Cao Yi, Yanjin Li, Luo Xia
Journal of System Simulation
Abstract: To reflect a systematic account of the impact online booking taxi and cruise taxi under the condition of information, the travelling mode choice of taxi passengers was researched. The influence factors of travelling mode choice of taxi passengers were analyzed and the time values related to passenger’s own characteristics were evaluated. The functions of waiting time of online booking taxi passengers and cruise taxi passengers were formed by investigating the difference of searching behavior. Through using simulation method, the priority for online booking taxi, cruise taxi and private cars was obtained .The results showed that the online booking …