Impact of Automated Vehicles on Optimal Demand-Responsive Feeder Transit Network Design

Impact of Automated Vehicles on Optimal Demand-Responsive Feeder Transit Network Design

Amirreza Nickkar, Young-Jae Lee, Seyedehsan Dadvar
Copyright: © 2021 |Pages: 17
DOI: 10.4018/IJUPSC.2021010106
OnDemand:
(Individual Articles)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

This article aims to examine the economic benefits of automating flexible demand responsive feeder transit systems using a developed feeder bus routing optimization algorithm. The objective function of the algorithm is to minimize total passengers' and operating costs of the system. The results showed that when unit operating costs decline, total operating costs, and total costs obviously decline. Furthermore, when unit operating costs decline, the average passenger travel distance and total passenger travel costs decline while the ratio of total operating costs per unit operating costs increases. That means if unit operating costs decrease, the portion of passenger travel costs in the total costs increases, and the optimization process tends to reduce passenger costs more while reducing total costs. Assuming that automation of the vehicles reduces the operating costs, it will reduce not only total operating costs and total costs, but also total passenger travel costs.
Article Preview
Top

Literature Review

Cost is an important factor in transit decision-making since many decisions are cost-related or cost-oriented. Reliable and accurate cost models and estimates lead to better operational and strategic decisions. Operational costs of a transit system are key factors in critical decisions such as implementation, development, and extension of a system. The user costs of public transportation including passengers’ waiting time and the costs of scheduling disruption also (Asgharzadeh & & Shafahi, 2017; Rahimi et al., 2020) can be important factors in designing a public transit network; however, these factors have received less attention in the literature than operational costs. Some cost models/estimates are simple while others are sophisticated, complex and consist of several different variables, but usually the outputs are expressed as dollars (or other currencies) per some units (e.g., per distance units, per time units, and per operator). However, regardless of the complexity and sophistication of the models, they should be based on valid and complete sources and cost components, and they should be validated (On Target Performance Group, 2011). There are usually some fixed costs, which are unaffected by the amount of service, and some variable costs, which increase by vehicle mileage (Victoria Transport Policy Institute, 2016).

Complete Article List

Search this Journal:
Reset
Volume 5: 1 Issue (2024): Forthcoming, Available for Pre-Order
Volume 4: 1 Issue (2023)
Volume 3: 2 Issues (2022): 1 Released, 1 Forthcoming
Volume 2: 2 Issues (2021)
Volume 1: 2 Issues (2020)
View Complete Journal Contents Listing