GreedyDP: A Unified Approach to Route Planning for Shared Mobility

This repository stores the source code of the proposed algorithm called GreedyDP and pruneGreedyDP in the following paper.

[1] A Unified Approach to Route Planning for Shared Mobility. Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, Ke Xu. PVLDB 11(11): 1633-1646 (2018). link slides

If you find this work helpful in your research, please consider citing our paper and the bibtex are listed below:

@article{DBLP:journals/pvldb/TongZZCYX18,  
  author    = {Yongxin Tong and   
               Yuxiang Zeng and   
               Zimu Zhou and   
               Lei Chen and    
               Jieping Ye and   
               Ke Xu},   
  title     = {A Unified Approach to Route Planning for Shared Mobility},   
  journal   = {{PVLDB}},   
  volume    = {11},   
  number    = {11},  
  pages     = {1633--1646},   
  year      = {2018},   
}

Usage of the algorithms

Environment

gcc/g++ version: 7.4.0

OS: Ubuntu

Compile the algorithms

cd algorithm && make pruneGDP GDP

pruneGDP: the pruneGreedyDP algorithm in the paper

GDP: the GreedyDP algorithm in the paper

Run the algorithms

./pruneGDP ./road/chengdu.node ./road/chengdu.edge ./road/chengdu.label ./road/chengdu.order ./taxi.txt ./order.txt ./res.txt

./GDP ./road/chengdu.node ./road/chengdu.edge ./road/chengdu.label ./road/chengdu.order ./taxi.txt ./order.txt ./res.txt

chengdu.node: the vertex coordinates of the road network of Chengdu

chengdu.edge: the edges of the road network of Chengdu, the unit of the edge weight is second.

chengdu.label: the labels for on-the-fly shortest distance/path query

chengdu.order: the orders for on-the-fly shortest distance/path query

taxi.txt: the major parameters

order.txt: the input of the taxi-calling orders

res.txt: the output of the program

Road network

Due to space limit, please download the files of road network (i.e., chengdu.*) by this url. We recommend to use the hub labeling based shortest path algorithms url to process the road network.

Real-world orders

For the taxi-calling orders in Chengdu city, please request for the dataset in the website of GAIA. Here we only provide a sample file (i.e., order.txt).

Description of the data generator

Environment

Python: 2.7

Run the scripts

genChengTaxi.py: a script to generate the varied parameters in the experiments

Related resources

We have maintained a paper list of the studies on ridesharing. link

Contact

• Yuxiang Zeng: [email protected]
• Yongxin Tong: [email protected]