系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2013年
5期
1327~1334
,共null页
运行时间可靠度 先进的出行者信息系统 市场占有率 遵从率 恶劣天气
運行時間可靠度 先進的齣行者信息繫統 市場佔有率 遵從率 噁劣天氣
운행시간가고도 선진적출행자신식계통 시장점유솔 준종솔 악렬천기
travel time reliability; advanced traveler information systems; market penetratioa; compliancerate; adverse weather
为了研究恶劣天气(不同降雨密度)引起的道路网络供给和需求不确定性对装备和未装备ATIS用户的出行行为产生的影响,本文提出一个内生、平衡ATIS市场占有率和遵从率下,基于路径运行时间可靠度的交通分配模型.装备ATIS的用户也并不总是遵从ATIS提供的建议.因此,所有用户被分为三种类型:装备ATIS且遵从ATIS建议的用户,装备ATIS但不遵从ATIS建议的用户以及未装备ATIS的用户.用户在选择出行路线时会综合考虑路径运行时间不确定性、天气条件以及ATIS的建议.此外,本模型使用基于Logit的随机用户平衡模型,考虑用户的出行成本感知误差.本文提出的模型可以表示为一个等价的基于路径流量的变分不等式问题.通过算例分析证明所提出模型和算法的有效性.
為瞭研究噁劣天氣(不同降雨密度)引起的道路網絡供給和需求不確定性對裝備和未裝備ATIS用戶的齣行行為產生的影響,本文提齣一箇內生、平衡ATIS市場佔有率和遵從率下,基于路徑運行時間可靠度的交通分配模型.裝備ATIS的用戶也併不總是遵從ATIS提供的建議.因此,所有用戶被分為三種類型:裝備ATIS且遵從ATIS建議的用戶,裝備ATIS但不遵從ATIS建議的用戶以及未裝備ATIS的用戶.用戶在選擇齣行路線時會綜閤攷慮路徑運行時間不確定性、天氣條件以及ATIS的建議.此外,本模型使用基于Logit的隨機用戶平衡模型,攷慮用戶的齣行成本感知誤差.本文提齣的模型可以錶示為一箇等價的基于路徑流量的變分不等式問題.通過算例分析證明所提齣模型和算法的有效性.
위료연구악렬천기(불동강우밀도)인기적도로망락공급화수구불학정성대장비화미장비ATIS용호적출행행위산생적영향,본문제출일개내생、평형ATIS시장점유솔화준종솔하,기우로경운행시간가고도적교통분배모형.장비ATIS적용호야병불총시준종ATIS제공적건의.인차,소유용호피분위삼충류형:장비ATIS차준종ATIS건의적용호,장비ATIS단불준종ATIS건의적용호이급미장비ATIS적용호.용호재선택출행로선시회종합고필로경운행시간불학정성、천기조건이급ATIS적건의.차외,본모형사용기우Logit적수궤용호평형모형,고필용호적출행성본감지오차.본문제출적모형가이표시위일개등개적기우로경류량적변분불등식문제.통과산례분석증명소제출모형화산법적유효성.
In order to study the different travel behaviours of users equipped with advanced traveler infor- mation systems (ATIS) and users unequipped with ATIS under uncertainties conditions in both demand and supply sides of a road network due to adverse weather conditions with different rainfall intensities, a path travel time reliability-based traffic assignment model under endogenous equilibrated market pene- tration and compliance rate of ATIS was established. Those equipped users may not always comply with the advice provided by ATIS. Therefore users are divided into three classes: users with ATIS and in com- pliance with ATIS advice, users with ATIS but without compliance with ATIS advice, and users without ATIS. Users will consider uncertainty of the path travel time, weather conditions, and ATIS advice in their path choice decisions. Furthermore, the model also considers users' perception errors using a Logit-based stochastic user equilibrium framework. The proposed model is formulated as an equivalent variational inequality problem in terms of path flows. Numerical examples illustrate the efficiency of the proposed model and solution algorithm.