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In urban areas where transit demand is widely spread, passengers may be served by an intermodal transit system, consisting of a rail transit line (or a bus rapid transit route) and a number of feeder routes connecting at different transfer stations. In such a system, passengers may need one or more transfers to complete their journey. Therefore, scheduling vehicles operating in the system with special attention to reduce transfer time can contribute significantly to service quality improvements. Schedule synchronization may significantly reduce transfer delays at transfer stations where various routes interconnect. Since vehicle arrivals are stochastic, slack time allowances in vehicle schedules may be desirable to reduce the probability of missed connections. An objective total cost function, including supplier and user costs, is formulated for optimizing the coordination of a general intermodal transit network. A four-stage procedure is developed for determining the optimal coordination status among routes at every transfer station. Considering stochastic feeder vehicle arrivals at transfer stations, the slack times of coordinated routes are optimized, by balancing the savings from transfer delays and additional cost from slack delays and operating costs. The model thus developed is used to optimize the coordination of an intermodal transit network, while the impact of a range of factors on coordination (e.g., demand, standard deviation of vehicle arrival times, etc) is examined. 相似文献
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为进一步协调好快速公交和轨道交通之间的关系,合理确定快速公交功能定位、发展规模以及网络布局至关重要.以武汉为例,从公共交通客流需求、城市空间布局与道路交通条件等方面展开研究,借鉴国内外快速公交发展模式的成功经验,确定武汉应选择“BRT与轨道交通互补、高效衔接”、共同作为骨干的公共交通发展模式.在此基础上,运用线网密度匡算法和客流需求量匡算法提出了武汉快速公交发展合理规模,在轨道交通网络规划的基础上,从点、线、面三方面入手进行分析,提出了跨区骨干、镇内联通及远城过渡三种线网层次的网络布局方案. 相似文献
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快速公交(BRT)是国际上公交发展的新模式。保证系统得以推广,同时应以低成本、显著见效为原则建设快速公交系统,因此对快速公交线路布局进行优化也是不可忽视的。为了探讨现有公共交通线网结构下如何优化BRT线路的布设问题.本文时快速公交线路布设的内部条件和外部条件进行了分析,并在此基础上依据快速公交的发展特点.以乘客的总出行时耗最小和车公里成本投入最小为目标,建立快速公交布局优化的模型.并且给出了优化目标和相应约束条件的函数表达式。通过事例分析对BRT线路布设优化算法进行说明.从而得知优化模型具有较高的应用价值。 相似文献
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基于轨道交通物联网监测数据,从点、线、面三个层级,构建不同时间粒度车站、线路、网络的客流密集度指数计算模型和算法。车站客流密集度指数模型综合考虑影响车站密集度指数的关键区域(出入口、站台、楼扶梯、换乘通道)的拥挤程度和拥挤范围因素;线路的客流密集度指数模型综合考虑车站和区间的影响;网络的客流密集度指数模型由各线路的客流密集度指数加权得到。测试结果表明,提出的模型计算结果与实际地铁客流出行规律一致,可较好地反映地铁拥挤程度,为地铁客流运营拥挤状态评价和辅助决策提供技术支持。 相似文献
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Younes HamdouchH.W. Ho Agachai Sumalee Guodong Wang 《Transportation Research Part B: Methodological》2011,45(10):1805-1830
In this paper, we propose a new schedule-based equilibrium transit assignment model that differentiates the discomfort level experienced by sitting and standing passengers. The notion of seat allocation has not been considered explicitly and analytically in previous schedule-based frameworks. The model assumes that passengers use strategies when traveling from their origin to their destination. When loading a vehicle, standing on-board passengers continuing to the next station have priority to get available seats and waiting passengers are loaded on a First-Come-First-Serve (FCFS) principle. The stimulus of a standing passenger to sit increases with his/her remaining journey length and time already spent on-board. When a vehicle is full, passengers unable to board must wait for the next vehicle to arrive. The equilibrium conditions can be stated as a variational inequality involving a vector-valued function of expected strategy costs. To find a solution, we adopt the method of successive averages (MSA) that generates strategies during each iteration by solving a dynamic program. Numerical results are also reported to show the effects of our model on the travel strategies and departure time choices of passengers. 相似文献
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Jan-Dirk Schmöcker Achille FonzoneHiroshi Shimamoto Fumitaka KurauchiMichael G.H. Bell 《Transportation Research Part B: Methodological》2011,45(2):392-408
This paper proposes a frequency-based assignment model that considers travellers probability of finding a seat in their perception of route cost and hence also their route choice. The model introduces a “fail-to-sit” probability at boarding points with travel costs based on the likelihood of travelling seated or standing. Priority rules are considered; in particular it is assumed that standing on-board passengers will occupy any available seats of alighting passengers before newly boarding passengers can fill any remaining seats. At the boarding point passengers are assumed to mingle, meaning that FIFO is not observed, as is the case for many crowded bus and metro stops, particularly in European countries. The route choice considers the common lines problem and an user equilibrium solution is sought through a Markov type network loading process and the method of successive averages. The model is first illustrated with a small example network before being applied to the inner zone of London’s underground network. The effect of different values passengers might attach to finding a seat are illustrated. Applications of the model for transit planning as well as for information provision at the journey planner stage are discussed. 相似文献
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城市公交规划、管理工作迫切需要信息化技术给予定量的决策数据支持.公交出行分布数据通常基于居民出行调查获得,然而因其调查代价巨大不能作为常态化调查手段.短期的公交线网调整工作更依赖于现状的公交出行分布需求,本文由此提出了一种利用公交GPS和IC卡(含老年卡)数据推算现状公交出行分布的实用方法.当前在大城市常住人口使用IC卡作为公交支付手段已得到相当普及,采用基于车载GPS和乘客IC卡记录能够推断得到全日公交OD数据并用于公交出行量回归模型的标定.模型检验通过后,可结合人口数据和就业岗位资料用标定模型计算以投币作为主要付费方式的流动人口公交OD;叠加两部分OD得到完整的城市公交出行分布结果.该模型的有效性通过2010年郑州市综合交通调查实践得以验证,对其它城市具有借鉴意义. 相似文献
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