Bus electrification is widely cited as a key technique to reduce carbon emissions and mit-igate climate change.In some Chinese cities,the electrification rate of buses has even reached 100%.However,compared with diese...Bus electrification is widely cited as a key technique to reduce carbon emissions and mit-igate climate change.In some Chinese cities,the electrification rate of buses has even reached 100%.However,compared with diesel buses(DBs),electric buses(EBs)cause scheduling problems during urban flash floods due to their limited wading performance.This study proposes a mixed EB-DB fleet strategy to mitigate bus fleet problems during urban flash floods.The difference in wading height thresholds between EBs and DBs is con-sidered in the fleet schedule.Utilizing a two-fleet strategy,the requisite number of DBs for bus depots is calculated.The mixed bus assignment problem is then solved by linear pro-gramming to establish the optimal dispatch scheme for the individual bus route.This study emphasizes the advantages of mixed bus fleets in emergency response,and contributes to improving urban transportation resilience.展开更多
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 ...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.展开更多
基金supported by the National Key R&D Program of China under Grant No.2023YFC3804004the Fundamental Research Funds for the Central Universities(Grant No.2022-5-YB-02).
文摘Bus electrification is widely cited as a key technique to reduce carbon emissions and mit-igate climate change.In some Chinese cities,the electrification rate of buses has even reached 100%.However,compared with diesel buses(DBs),electric buses(EBs)cause scheduling problems during urban flash floods due to their limited wading performance.This study proposes a mixed EB-DB fleet strategy to mitigate bus fleet problems during urban flash floods.The difference in wading height thresholds between EBs and DBs is con-sidered in the fleet schedule.Utilizing a two-fleet strategy,the requisite number of DBs for bus depots is calculated.The mixed bus assignment problem is then solved by linear pro-gramming to establish the optimal dispatch scheme for the individual bus route.This study emphasizes the advantages of mixed bus fleets in emergency response,and contributes to improving urban transportation resilience.
基金supported by the New Jersey Department of Transportation and the Federal Highway Administration
文摘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.
