TY  - JOUR
PY  - 2021//
TI  - Mixed traffic flow signal timing optimization method considering e-bike expansion influence
JO  - Journal of transportation engineering, Part A: Systems
A1  - Gao, Yuhong
A1  - Qu, Zhaowei
A1  - Jiang, Jingling
A1  - Song, Xianmin
A1  - Xia, Yingji
SP  - e04020155
EP  - e04020155
VL  - 147
IS  - 2
N2  - The increase in e-bikes has aggravated traffic conflicts and casualties at intersections. However, existing signal control methods focus on motor vehicles, ignoring the influence of expansion behavior of e-bikes on motor vehicles. In order to better balance the traffic benefits between them, this paper proposes a new release mode named e-bike early green and establishes a signal timing model of mixed traffic flow considering e-bike early green (MTEG). In particular, an effect strength indictor that reflects the degree of influence of e-bikes on motor vehicles is put forward. Then, based on this indicator and e-bike ratio, the calculation model for e-bike early green time is built. The Nondominated Sorting Genetic Algorithm II is applied to solve the MTEG model that considers multi-objective optimization coordination. The results show that, when the e-bike ratio is in the range of 0.4-0.6, compared with the method proposed by the Transport and Road Research Laboratory (TRRL), the method proposed by the Australian Road Research Board (ARRB), and Improved-Webster method, the maximum improvement values of the MTEG method in cycle length, average vehicle delay, intersection capacity, and average stops per vehicle are −5.56%−5.56%<math display="inline" overflow="scroll"><mrow><mo form="prefix">−</mo><mn>5.56</mn><mo>%</mo></mrow></math>, −22.04%−22.04%<math display="inline" overflow="scroll"><mrow><mo form="prefix">−</mo><mn>22.04</mn><mo>%</mo></mrow></math>, +2.30%+2.30%<math display="inline" overflow="scroll"><mrow><mo form="prefix">+</mo><mn>2.30</mn><mo>%</mo></mrow></math>, and −8.00%−8.00%<math display="inline" overflow="scroll"><mrow><mo form="prefix">−</mo><mn>8.00</mn><mo>%</mo></mrow></math>, respectively. The outcomes provide a signal timing basis and technical support for a mixed traffic flow environment containing numerous e-bikes.<p />  <p>Language: en</p>
LA  - en
SN  - 2473-2907
UR  - http://dx.doi.org/10.1061/JTEPBS.0000478
ID  - ref1
ER  -