Analyzes the spatial structure of parking behavior and establishes a basic parking behavior model to represent the parking problem in downtown, and establishes a parking pricing model to analyze the parking equilibriu...Analyzes the spatial structure of parking behavior and establishes a basic parking behavior model to represent the parking problem in downtown, and establishes a parking pricing model to analyze the parking equilibrium with a positive parking fee and uses a paired combinatorial logit model to analyze the effect of trip integrative cost on parking behavior and concludes from empirical results that the parking behavior model performs well.展开更多
In order to improve the use efficiency of curb parking, a reasonable curb parking pricing is evaluated by considering individual parking choice behavior. The parking choice behavior is analyzed from micro-aspects, and...In order to improve the use efficiency of curb parking, a reasonable curb parking pricing is evaluated by considering individual parking choice behavior. The parking choice behavior is analyzed from micro-aspects, and the choice behavior utility function is established combining trip time, search time, waiting time, access time and parking fee. By the utility function, a probit-based parking choice behavior model is constructed. On the basis of these, the curb parking pricing model is deduced by considering the constrained conditions, and an incremental assignment algorithm of the model is also designed. Finally, the model is applied to the parking planning of Tongling city. It is pointed out that the average parking time of curb parking decreases 34%, and the average turnover rate increases 67% under the computed parking price system. The results show that the model can optimize the utilization of static traffic facilities.展开更多
With a surge in the university’s student and staff population, parking problems and congestion have rapidly intensified. The recent inclusion of women drivers, particularly during official working hours, has exacerba...With a surge in the university’s student and staff population, parking problems and congestion have rapidly intensified. The recent inclusion of women drivers, particularly during official working hours, has exacerbated these challenges. This pressing issue underscores the critical necessity for a structured approach to managing university entries and overseeing parking at the gates. The proposed smart parking management system aims to address these concerns by introducing a design concept that restricts unauthorized access and provides exclusive parking privileges to authorized users. Through image processing, the system identifies available parking spaces, relaying real-time information to users via a mobile application. This comprehensive solution also generates detailed reports (daily, weekly, and monthly), aiding university safety authorities in future gate management decisions.展开更多
Public parks provide many benefits to the community as the representatives of green area. The allocation of public places plays an extremely important role in the daily lives of inhabitants especially for recreational...Public parks provide many benefits to the community as the representatives of green area. The allocation of public places plays an extremely important role in the daily lives of inhabitants especially for recreational use that could enhance the quality of life of residents in the vicinity. To understand park users’ behavior is one of the most important prerequisites for as-sessing the participation in public service from the park users’ point of view. The pattern of park utilization on location and activity selection are important elements in behavioral study, while the public parks topograph may also influence the typical user’s be-havior. Questionnaire survey on park utilization was used to investigate the interaction between activity involvement and recrea-tional location with the use of linear discriminant analysis (LDA) model. The study found that public park users’ behavior is influenced not only by social characteristics but also by the recreational activities and their specific location characteristics. We found that about 45 percent of park visitors are local residents living within a radius of 3 km preferred travel to parks near their residential area. This implies that location selection behavior is correlated with travel distance, travel time and travel cost. Visit frequencies and on site expenditures reflect the recreation behavior for different type of activities. The overall information can be usefully applied by decision makers to launch appropriate public policy in consistence with the useful results of this study.展开更多
In the context of autonomous driving systems at mining sites,the planning of parking trajectories is crucial for ensuring the efficiency of loading tasks.Most studies predominantly employ the shortest path rule to det...In the context of autonomous driving systems at mining sites,the planning of parking trajectories is crucial for ensuring the efficiency of loading tasks.Most studies predominantly employ the shortest path rule to determine the resulting trajectory.Different mining areas may have distinct requirements such as control maneuverability,travel distance,and interaction with other trucks.Existing planners have notable limitations as they require considerable manual effort to design an evaluation function that selects the optimal parking trajectory considering multiple factors.To address the limitations,this study proposes a novel approach for generating human-like,personalized parking trajectories.Specifically,the human-like planner transforms the continuous parking behavior observed in human drivers into a discrete set of maneuvers,deriving an internal evaluation function for parking behavior based on real-world human driving data.Building on this,an efficient parking trajectory is developed using bi-directional heuristic search to address queued loading in narrow areas.Extensive experiments conducted in real mining site environments demonstrate that the human-like parking trajectory planner closely mimics human drivers,reducing waiting time by 30%compared to traditional methods.Moreover,the proposed planner has been successfully applied in practical autonomous driving operations at mining sites.The source code implementation will be released as open-source:https://github.com/AMTbu aa/Human-like-parki ng-traje ctory-plann ing.展开更多
文摘Analyzes the spatial structure of parking behavior and establishes a basic parking behavior model to represent the parking problem in downtown, and establishes a parking pricing model to analyze the parking equilibrium with a positive parking fee and uses a paired combinatorial logit model to analyze the effect of trip integrative cost on parking behavior and concludes from empirical results that the parking behavior model performs well.
基金The National Natural Science Foundation of China(No50308005), the National Basic Research Program of China (973Program) (No2006CB705500)
文摘In order to improve the use efficiency of curb parking, a reasonable curb parking pricing is evaluated by considering individual parking choice behavior. The parking choice behavior is analyzed from micro-aspects, and the choice behavior utility function is established combining trip time, search time, waiting time, access time and parking fee. By the utility function, a probit-based parking choice behavior model is constructed. On the basis of these, the curb parking pricing model is deduced by considering the constrained conditions, and an incremental assignment algorithm of the model is also designed. Finally, the model is applied to the parking planning of Tongling city. It is pointed out that the average parking time of curb parking decreases 34%, and the average turnover rate increases 67% under the computed parking price system. The results show that the model can optimize the utilization of static traffic facilities.
文摘With a surge in the university’s student and staff population, parking problems and congestion have rapidly intensified. The recent inclusion of women drivers, particularly during official working hours, has exacerbated these challenges. This pressing issue underscores the critical necessity for a structured approach to managing university entries and overseeing parking at the gates. The proposed smart parking management system aims to address these concerns by introducing a design concept that restricts unauthorized access and provides exclusive parking privileges to authorized users. Through image processing, the system identifies available parking spaces, relaying real-time information to users via a mobile application. This comprehensive solution also generates detailed reports (daily, weekly, and monthly), aiding university safety authorities in future gate management decisions.
文摘Public parks provide many benefits to the community as the representatives of green area. The allocation of public places plays an extremely important role in the daily lives of inhabitants especially for recreational use that could enhance the quality of life of residents in the vicinity. To understand park users’ behavior is one of the most important prerequisites for as-sessing the participation in public service from the park users’ point of view. The pattern of park utilization on location and activity selection are important elements in behavioral study, while the public parks topograph may also influence the typical user’s be-havior. Questionnaire survey on park utilization was used to investigate the interaction between activity involvement and recrea-tional location with the use of linear discriminant analysis (LDA) model. The study found that public park users’ behavior is influenced not only by social characteristics but also by the recreational activities and their specific location characteristics. We found that about 45 percent of park visitors are local residents living within a radius of 3 km preferred travel to parks near their residential area. This implies that location selection behavior is correlated with travel distance, travel time and travel cost. Visit frequencies and on site expenditures reflect the recreation behavior for different type of activities. The overall information can be usefully applied by decision makers to launch appropriate public policy in consistence with the useful results of this study.
基金supported by the National Key Technologies R&D Program of China 2022YFB4703700,which are gratefully acknowledged.
文摘In the context of autonomous driving systems at mining sites,the planning of parking trajectories is crucial for ensuring the efficiency of loading tasks.Most studies predominantly employ the shortest path rule to determine the resulting trajectory.Different mining areas may have distinct requirements such as control maneuverability,travel distance,and interaction with other trucks.Existing planners have notable limitations as they require considerable manual effort to design an evaluation function that selects the optimal parking trajectory considering multiple factors.To address the limitations,this study proposes a novel approach for generating human-like,personalized parking trajectories.Specifically,the human-like planner transforms the continuous parking behavior observed in human drivers into a discrete set of maneuvers,deriving an internal evaluation function for parking behavior based on real-world human driving data.Building on this,an efficient parking trajectory is developed using bi-directional heuristic search to address queued loading in narrow areas.Extensive experiments conducted in real mining site environments demonstrate that the human-like parking trajectory planner closely mimics human drivers,reducing waiting time by 30%compared to traditional methods.Moreover,the proposed planner has been successfully applied in practical autonomous driving operations at mining sites.The source code implementation will be released as open-source:https://github.com/AMTbu aa/Human-like-parki ng-traje ctory-plann ing.
