A Practical Study on Demand Analysis for Introducing Low-Speed Autonomous Vehicle

Shared Low-Speed Autonomous Vehicle System for Suburban Residential Areas

“…Generally, the mode of automobile and walking dominate all five subareas. More than 50% of residents departing from three peripheral subareas used automobile, while about 50% of residents from the other two subareas prefer walking [45].…”

“…In this study, all accessible public roads within the town area are considered the road network for the proposed system. The demand data were obtained from a previous study [45] in terms of the average number of trips handled by SAVs from an origin to a destination with a zone size of 250 m-mesh. The researchers [45] processed three types of data, namely the mobile phone movement history data from a Japanese telecommunications operator called KDDI, the Person Trip Survey data of the Metropolitan Area of Chukyo (PT data of Nagoya Metropolitan) [46], and the stated preference (SP) data of the residents' willingness to use the Slocal Automated Driving collected by a questionnaire survey.…”

“…The demand data were obtained from a previous study [45] in terms of the average number of trips handled by SAVs from an origin to a destination with a zone size of 250 m-mesh. The researchers [45] processed three types of data, namely the mobile phone movement history data from a Japanese telecommunications operator called KDDI, the Person Trip Survey data of the Metropolitan Area of Chukyo (PT data of Nagoya Metropolitan) [46], and the stated preference (SP) data of the residents' willingness to use the Slocal Automated Driving collected by a questionnaire survey. The PT data of the Nagoya Metropolitan area provide information on the number of personal trips with trip purpose and travel mode between five small zones in the town.…”

“…Based on the model results, the demand was calculated when the SAV cost was 200 JPY per km (approximately 1.8 USD). In the case of simulation, the number of trips between the zones was randomly obtained using a Poisson distribution [9,32,35] based on the demand data's hourly average number of trips [45]. Ten sets of demand data were prepared, wherein the total number of trips varied from 2197 to 2331 with an average of 2263 and a distribution as illustrated in Figure 2.…”

“…Ten sets of demand data were prepared, wherein the total number of trips varied from 2197 to 2331 with an average of 2263 and a distribution as illustrated in Figure 2. The total number of trips per day in the PT data was 29,495 [45], which implies that 10% of these trips use SAVs.…”