Traffic flow guidance algorithm in intelligent transportation systems considering the effect of non-floating vehicle

Chen, Yufeng; Gao, Zhan; Zhou, Hong; Wang, Yan; Zhang, Tao; Che, Kai; Xiang, Zhengtao

doi:10.1007/s00500-019-03787-w

Cited by 9 publications

(4 citation statements)

References 40 publications

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“…Chen et al [16] had developed an effective parallel genetic algorithm for the problem of vehicle routing in cloud implementation of the ITS. The suggested approach significantly speeds up the resolution of the equivalent DSP of multiple complex vehicle routing problems (VRPs) in the cloud operation of ITS.…”

Section: Related Workmentioning

confidence: 99%

Optimal Routing with Spatial-Temporal Dependencies for Traffic Flow Control in Intelligent Transportation Systems

Sarooraj¹,

Shyry²

2023

Intelligent Automation &Amp; Soft Computing

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In Intelligent Transportation Systems (ITS), controlling the traffic flow of a region in a city is the major challenge. Particularly, allocation of the trafficfree route to the taxi drivers during peak hours is one of the challenges to control the traffic flow. So, in this paper, the route between the taxi driver and pickup location or hotspot with the spatial-temporal dependencies is optimized. Initially, the hotspots in a region are clustered using the density-based spatial clustering of applications with noise (DBSCAN) algorithm to find the hot spots at the peak hours in an urban area. Then, the optimal route is allocated to the taxi driver to pick up the customer in the hotspot. Before allocating the optimal route, each route between the taxi driver and the hot spot is mapped to the number of taxi drivers. Among the map function, the optimal map is selected using the rain optimization algorithm (ROA). If more than one map function is obtained as the optimal solution, the map between the route and the taxi driver who has done the least number of trips in the day is chosen as the final solution This optimal route selection leads to control of the traffic flow at peak hours. Evaluation of the approach depicts that the proposed traffic flow control scheme reduces traveling time, waiting time, fuel consumption, and emission.

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Section: Related Workmentioning

confidence: 99%

Optimal Routing with Spatial-Temporal Dependencies for Traffic Flow Control in Intelligent Transportation Systems

Sarooraj¹,

Shyry²

2023

Intelligent Automation &Amp; Soft Computing

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“…We need to give full play to local self-government and creativity to prevent rote memorization of "one size fits all". The concentration of construction land is more conducive to large-scale agricultural operation and the development of secondary industry, focusing on the development of characteristic agriculture, sightseeing agriculture and agricultural and sideline products processing industry; We build a village agricultural and sideline products processing base; Adjust the village construction land to industrial land, and build a large-scale breeding area in the village 10 .…”

Section: "Double Integration" Rural Residential Environment Modelmentioning

confidence: 99%

Improving the intelligent algorithm in the intelligent monitoring model of human settlement environment under fuzzy comprehensive evaluation (FCE)

Wu¹,

Chen

Yang³

2023

International Conference on Computer Application and Information Security (ICCAIS 2022)

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The development of “new urbanization” human settlement environment is not only one of the important contents in the development of new urbanization, but also the key to be solved in the relationship between urban and rural areas. Therefore, this paper studies the intelligent algorithm in the intelligent monitoring model of human settlements under the improved fuzzy comprehensive evaluation (FCE). Taking Guizhou Province as an example, this paper studies and analyzes the karst landform and local land resource utilization, and evaluates the suitability of human settlements through the improved FCE algorithm. It is found that the evaluation results of coordinated development of residential environment and economy are consistent with the FCE results of human settlements. The higher the degree of coordination, the stronger the suitability of human settlements. The consistency between the degree of coordinated development and the evaluation results of the suitability of human settlements environment tests the scientificity and rationality of the FCE model of human settlements environment to a certain extent, so as to provide a scientific and feasible evaluation method for the suitability of human settlements environment.

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“…Te strategy efectively solves the fow distribution among regions and the route selection of travelers. Chen et al [32] proposed a feedback strategy, which uses foating vehicle information to estimate nonfoating vehicle information and calculates the guidance index. Wei and Yang [33] proposed a two-level route guidance method for urban road networks based on MFD.…”

Section: Literature Reviewmentioning

confidence: 99%

Boundary Guidance Strategy and Method for Urban Traffic Congestion Region Management in Internet of Vehicles Environment

Ren

Wang

Yin

et al. 2023

Journal of Advanced Transportation

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Accelerated urbanization has increased regional traffic congestion. To alleviate traffic congestion in a homogeneous road network, combined with the advantage of real-time traffic information obtained by the Internet of Vehicles (IoVs), a boundary guidance strategy for traffic congestion region is proposed. The strategy considers the optimal operation state of traffic congestion region and is divided into two categories according to different destinations of traffic demands. Meanwhile, a method for the boundary guidance strategy is presented in which the macroscopic fundamental diagram (MFD) is used to determine the optimal accumulation, a traffic flow equilibrium model is established to calculate the real-time accumulation, and a fuzzy adaptive PID control algorithm is designed to calculate the optimal traffic inflow of the traffic congestion region. Furthermore, an example is selected for simulation. The results show that the boundary guidance strategy can effectively improve the operational state of the road network and alleviate traffic congestion. Finally, the influence of connected vehicle penetration rate on the strategy is discussed. The simulation results show that the strategy can improve the operation state of the road network under mixed traffic flow, and the higher the penetration rate, the more significant its effect on alleviating traffic congestion.

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Traffic flow guidance algorithm in intelligent transportation systems considering the effect of non-floating vehicle

Cited by 9 publications

References 40 publications

Optimal Routing with Spatial-Temporal Dependencies for Traffic Flow Control in Intelligent Transportation Systems

Optimal Routing with Spatial-Temporal Dependencies for Traffic Flow Control in Intelligent Transportation Systems

Improving the intelligent algorithm in the intelligent monitoring model of human settlement environment under fuzzy comprehensive evaluation (FCE)

Boundary Guidance Strategy and Method for Urban Traffic Congestion Region Management in Internet of Vehicles Environment

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