Real-Time Route Search by Locations
Authors: Lisi Chen, Shuo Shang, Tao Guo574-581
AAAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | This section reports our experiments conducted on real road networks and route data sets. The results offer insight into the efficiency and scalability of the proposed algorithms. Extensive experiments with real data offer insight into the performance of our algorithms, indicating that our proposal is capable of achieving high efficiency and scalability. |
| Researcher Affiliation | Collaboration | Lisi Chen,1,2 Shuo Shang,1 Tao Guo3 1UESTC, China 2Inception Institute of Artificial Intelligence, UAE 3Google, Singapore |
| Pseudocode | Yes | Algorithm 1 presents the pseudo code of DRM. Algorithm 2 presents the pseudo code of QLOE. Algorithm 3 presents the pseudo code of QLOE+. |
| Open Source Code | No | The paper does not provide an explicit statement or link for the open-source code of the described methodology. |
| Open Datasets | Yes | We use two datasets in our experiments: Beijing Road Network (BJR) and the New York Road Network (NYR)3. BJR consists of a road network of Beijing and a real taxi trajectory data set collected by the T-drive project (Yuan et al. 2013). NYR consists of a road network of New York City and a taxi trip data set from New York3, which only contains pick-up and drop-off locations of a taxis. 3https://publish.illinois.edu/dbwork/open-data/ |
| Dataset Splits | No | The paper uses datasets but does not explicitly provide details about training, validation, or test dataset splits, such as percentages, sample counts, or specific split methodologies. |
| Hardware Specification | Yes | All algorithms are implemented in Java and run on a server with two Intel Xeon Processors Gold 5120 (2.20GHz) and 64GB RAM. |
| Software Dependencies | No | The paper mentions that algorithms are 'implemented in Java' but does not specify a Java version or list any other software dependencies with specific version numbers. |
| Experiment Setup | Yes | The parameter settings are listed in Table 1. BJR NYR Number of queries 20,000 100,000 / default 20,000 Cardinality of query location set |q.O| 3 7 / default 5 Similarity threshold θ ( |q.O|) 0.80 0.95 / default random Number of results k 5 30 / default 10 Thread count m 16 48 / default 48 |