Design of Commute Carpooling Based on Fixed Time and Routes

Guiliang Zhou,Kai Huang,Lina Mao

doi:10.1155/2014/634926

Abstract

Although the private carpooling market of China has grown rapidly, it has been embarrassed by problems such as obstructed information, disordered expense, and frequent crimes currently. In this paper, a commute carpooling program based on fixed time and routes is designed and corresponding carpooling information platform is built to realize information retrieval, information matching, and mutual selection and evaluation. We have practiced the program in Huaian, China, and then evaluated it using the improved time-expense impedance model and VISSIM simulation system. The result shows that the carpooling program can reduce 65%~86% of the time-expense impedance and optimize some network parameters up to 20%~40%. Since it will help in reducing the travel time and cost greatly, improving safety and economy during carpooling, and easing the traffic congestion, it is a worthy carpooling mode to be extended in China.

Highlights

In China, some growing problems have constrained the development of urban transport and society, which include the crowded city population, the substantial increase of private cars, the urban road congestion, and the traffic pollution [1–3]
Mutual selection and information matching are mainly processed by the Logical Layer
The representative network of South Huaihai Road from Rose Garden to Huaihai Plaza was analyzed by VISSIM simulation system

Summary

Introduction

In China, some growing problems have constrained the development of urban transport and society, which include the crowded city population, the substantial increase of private cars, the urban road congestion, and the traffic pollution [1–3]. According to the data from 2000 to 2012, the private car ownership increased from 6.25 million to 88.38 million. The road mileage increased from 1679.90 thousand kilometers to 4234.50 thousand kilometers. The annual average growth rate was about 107.37%. The road construction is hard to meet the traffic demand.

Methods

Results

Conclusion