Research Article
Understanding the Shortest Route Selection Behavior for Private Cars Using Trajectory Data and Navigation Information
Table 1
The shortest path selection proportion in existing studies.
| Area | Data profile | Shortest distance | Shortest time (%) |
| Boston [3] | Traffic survey of 188 respondents (1997)# | Simulation | 28% | 45 | Turin [4] | 276 observations of Turin Polytechnic faculty | Simulation | 30.93% | 18.22 | Lexington [2] | 216 drivers over a week, more than 3000 trips | Null | Minneapolis-St. Paul [6] | 143 subjects, 25157 trips (2008) | Null@ | 34 | Minneapolis-St. Paul [5] | 50 persons, 124 commute trips (2011) | 12.26% | 24.19 | Enschede [8] | 317 respondents, 624 trips | 54% | 41 | A European country [9] | 526 users over 18 months | 47% | The Philippines and Japan [7] | 17 driver participants | Null | 21.6 |
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Note: #survey time of the data; most drivers choose a path that deviates from the shortest path; @the ratio that excludes shortest time paths is 0. |