To explore the influence of intelligent highways and advanced traveler information systems(ATIS)on path choice behavior,a day-to-day(DTD)traffic flow evolution model with information from intelligent highways and ATIS...To explore the influence of intelligent highways and advanced traveler information systems(ATIS)on path choice behavior,a day-to-day(DTD)traffic flow evolution model with information from intelligent highways and ATIS is proposed,whereby the network reliability and experiential learning theory are introduced into the decision process for the travelers’route choice.The intelligent highway serves all the travelers who drive on it,whereas ATIS serves vehicles equipped with information systems.Travelers who drive on intelligent highways or vehicles equipped with ATIS determine their trip routes based on real-time traffic information,whereas other travelers use both the road network conditions from the previous day and historical travel experience to choose a route.Both roadway capacity degradation and travel demand fluctuations are considered to demonstrate the uncertainties in the network.The theory of traffic network flow is developed to build a DTD model considering information from intelligent highway and ATIS.The fixed point theorem is adopted to investigate the equivalence,existence and stability of the proposed DTD model.Numerical examples illustrate that using a high confidence level and weight parameter for the traffic flow reduces the stability of the proposed model.The traffic flow reaches a steady state as travelers’routes shift with repetitive learning of road conditions.The proposed model can be used to formulate scientific traffic organization and diversion schemes during road expansion or reconstruction.展开更多
Objective： Trauma in India is an increasingly significant problem, particularly in light of rapid development and increasing motorization. Social changes are resulting in alterations in the epidemiology of trauma. Th...Objective： Trauma in India is an increasingly significant problem, particularly in light of rapid development and increasing motorization. Social changes are resulting in alterations in the epidemiology of trauma. The aim of the study was to assess the various epidemiological parameters that influence the cause of injury in the patients admitted to a major trauma centre in northem India. Methods： An observational study of 748 patients chosen by random assortment was carried out over a peri- od of 1 year （August 2008 to July 2009）. Age, sex, injury type and pattern were noted. Injury mode of upper and lower limbs was also noted. Results： Injuries occur predominately in the age group of 15-30 years. Males incurred more injury with male to female ratio of 6：1. The most vulnerable group was motorcycle users. Among the injured, farmers were the most commonly involved. Blunt injuries （94.92%） were much more common than penetrating injuries. Among patients with head injury, two wheelers related accidents were the most common （40.3%）. Most spinal cord injuries were caused by falls from height （51.09%）. Most lower limb fractures were simple type. Compound fractures of the lower limb were more common than up- per limb fractures. Conclusion： Strict enforcement of traffic rules, combined with improved infrastructure and behavior change can decrease the burden of road traffic accidents in India and other developing countries. This study could assist in raising the profile of road traffic accidents as a public health problem which needs to be addressed as a preventable cause of mortality and morbidity, and plan- ning appropriate interventions for this major challenge. Preventive strategies should be made on the basis of these epidemiological trends.展开更多
基金Project(71801115)supported by the National Natural Science Foundation of ChinaProject(2021M691311)supported by the Postdoctoral Science Foundation of ChinaProject(111041000000180001210102)supported by the Central Public Interest Scientific Institution Basal Research Fund,China。
文摘To explore the influence of intelligent highways and advanced traveler information systems(ATIS)on path choice behavior,a day-to-day(DTD)traffic flow evolution model with information from intelligent highways and ATIS is proposed,whereby the network reliability and experiential learning theory are introduced into the decision process for the travelers’route choice.The intelligent highway serves all the travelers who drive on it,whereas ATIS serves vehicles equipped with information systems.Travelers who drive on intelligent highways or vehicles equipped with ATIS determine their trip routes based on real-time traffic information,whereas other travelers use both the road network conditions from the previous day and historical travel experience to choose a route.Both roadway capacity degradation and travel demand fluctuations are considered to demonstrate the uncertainties in the network.The theory of traffic network flow is developed to build a DTD model considering information from intelligent highway and ATIS.The fixed point theorem is adopted to investigate the equivalence,existence and stability of the proposed DTD model.Numerical examples illustrate that using a high confidence level and weight parameter for the traffic flow reduces the stability of the proposed model.The traffic flow reaches a steady state as travelers’routes shift with repetitive learning of road conditions.The proposed model can be used to formulate scientific traffic organization and diversion schemes during road expansion or reconstruction.
文摘Objective： Trauma in India is an increasingly significant problem, particularly in light of rapid development and increasing motorization. Social changes are resulting in alterations in the epidemiology of trauma. The aim of the study was to assess the various epidemiological parameters that influence the cause of injury in the patients admitted to a major trauma centre in northem India. Methods： An observational study of 748 patients chosen by random assortment was carried out over a peri- od of 1 year （August 2008 to July 2009）. Age, sex, injury type and pattern were noted. Injury mode of upper and lower limbs was also noted. Results： Injuries occur predominately in the age group of 15-30 years. Males incurred more injury with male to female ratio of 6：1. The most vulnerable group was motorcycle users. Among the injured, farmers were the most commonly involved. Blunt injuries （94.92%） were much more common than penetrating injuries. Among patients with head injury, two wheelers related accidents were the most common （40.3%）. Most spinal cord injuries were caused by falls from height （51.09%）. Most lower limb fractures were simple type. Compound fractures of the lower limb were more common than up- per limb fractures. Conclusion： Strict enforcement of traffic rules, combined with improved infrastructure and behavior change can decrease the burden of road traffic accidents in India and other developing countries. This study could assist in raising the profile of road traffic accidents as a public health problem which needs to be addressed as a preventable cause of mortality and morbidity, and plan- ning appropriate interventions for this major challenge. Preventive strategies should be made on the basis of these epidemiological trends.
