A Cascading Failures Perspective Based Mesoscopic Reliability Model of Weighted Public Transit Network considering Congestion Effect and User Equilibrium Evacuation

Lin Zhang,Jialin Zhou,Shu-Bin Li,Jian Lu,Man Long

doi:10.1155/2018/9292375

Abstract

To establish the optimal route layout estimation technology based on reliability optimization, a more accurate and realistic reliability model of a weighted public transit network (PTN) is the indispensable basis. This paper establishes a cascading failures (CFs) perspective based mesoscopic reliability model for measuring PTN survivability. First, a modeling method for abstracting weighted PTN and determining its initial passenger flow and bearing capacity is proposed, making the network passenger flow pattern follow the aggregated flow pattern. Second, three basic concepts (time step, congestion effect of a road section, and CFs judging method) for establishing the CFs model are defined to clarify the overall evolution process of CFs. Furthermore, the aggregated passenger flow evacuation that exists in an emergency occurring at a station (i.e., failure load dynamic redistribution (FLDR)) is considered as a conscious dynamic game process through following the user equilibrium rule. As a result, a novel CFs model that considers congestion effect and user equilibrium evacuation is obtained. Finally, based on the collected data of Jinan’s PTN, a case simulation analysis is conducted to verify the adaptability of this model through showing a significantly different dynamics characteristic with the existing FLDR patterns and to provide optimization direction for effectively controlling PTN survivability, that is, guide the transformation among varying FLDR patterns through some technical measures or traffic policies.

Highlights

A new tendency for alleviating traffic congestion, parking problem, and car pollution from the mesoscopic or macroscopic perspective of traffic network is becoming a consensus of both traffic scholars and traffic engineers, that is, emerging traffic network related researches [1,2,3,4,5,6]
Based on the collected data of Jinan’s public transit network (PTN), a case simulation analysis is conducted to verify the adaptability of this model through showing a significantly different dynamics characteristic with the existing failure load dynamic redistribution (FLDR) patterns and to provide optimization direction for effectively controlling PTN survivability, that is, guide the transformation among varying FLDR patterns through some technical measures or traffic policies
Because public transit network (PTN) is the core mode of this combined mode, its reliability plays an important role in ensuring the effective use of public transit system for alleviating urban traffic congestion and is widely concerned by scholars

Summary

Introduction

A new tendency for alleviating traffic congestion, parking problem, and car pollution from the mesoscopic or macroscopic perspective of traffic network is becoming a consensus of both traffic scholars and traffic engineers, that is, emerging traffic network related researches [1,2,3,4,5,6]. Continuing this tendency, a combined transportation mode dominated by “public transit plus nonmotorized mode (e.g., public bicycle)” is considered as the optimal trip mode, that is, transforming the traditional mode into a green and lowcarbon system. PTN survivability originates from complex network theory, and it can be classified as static survivability and dynamic

Objectives

Methods

Conclusion